Skip to main content
ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » People & Locations » Feng Gao
Feng Gao
Research Physical Scientist


Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
A basic and applied remote sensing research project (GRAPEX) for actual evapotranspiration monitoring to improve vineyard water management - (Peer Reviewed Journal)
The Two-Source Energy Balance (TSEB) model formulation using thermal-infrared remote sensing for evapotranspiration estimation: Applications from field to global scales - (Peer Reviewed Journal)
Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA - (Peer Reviewed Journal)
Akumaga, U., Gao, F.N., Anderson, M.C., Dulaney, W.P., Houborg, R., Russ, A.L., Hively, W. 2023. Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA. Agronomy. 13:1540. https://doi.org/10.3390/agronomy13061540.
Decreased latency in landsat-derived land surface temperature products: A case for near-real-time evapotranspiration estimation in California - (Peer Reviewed Journal)
Knipper, K.R., Yang, Y., Anderson, M.C., Bambach, N., Kustas, W.P., McElrone, A.J., Gao, F.N., Alsina, M. 2023. Decreased latency in landsat-derived land surface temperature products: A case for near-real-time evapotranspiration estimation in California. Agricultural Water Management. 283. Article 108316. https://doi.org/10.1016/j.agwat.2023.108316.
A vision for integrated, collaborative solutions to critical water and food challenges - (Peer Reviewed Journal)
Elias, E.H., Tsegaye, T.D., Hapeman, C.J., Mankin, K.R., Kleinman, P.J., Cosh, M.H., Peck, D.E., Coffin, A.W., Archer, D.W., Alfieri, J.G., Anderson, M.C., Baffaut, C., Baker, J.M., Bingner, R.L., Bjorneberg, D.L., Bryant, R.B., Gao, F.N., Gao, S., Heilman, P., Knipper, K.R., Kustas, W.P., Leytem, A.B., Locke, M.A., McCarty, G.W., McElrone, A.J., Moglen, G.E., Moriasi, D.N., O'Shaughnessy, S.A., Reba, M.L., Rice, P.J., Silber-Coats, N., Wang, D., White, M.J., Dobrowolski, J.P. 2023. A vision for integrated, collaborative solutions to critical water and food challenges. Journal of Soil and Water Conservation. 78(3):63A-68A. https://doi.org/10.2489/jswc.2023.1220A.
ET partitioning assessment using the TSEB model and sUAS information across California Central Valley vineyards - (Peer Reviewed Journal)
Gao, R., Torres-Rua, A., Nieto, H., Zahn, E., Hipps, L., Kustas, W.P., Alsina, M., Ortiz, N., Castro, S., Prueger, J., Alfieri, J.G., McKee, L.G., White, W.A., Gao, F.N., McElrone, A.J., Anderson, M.C., Knipper, K.R., Coopmans, C., Gowing, I., Agam, N., Sanchez, L., Dokoozlian, N. 2023. ET partitioning assessment using the TSEB model and sUAS information across California Central Valley vineyards. Remote Sensing. 15(3):756. https://doi.org/10.3390/rs15030756.
Towards scalable within-season crop mapping with phenology normalization and deep learning - (Peer Reviewed Journal)
Yang, Z., Diao, C., Gao, F.N. 2023. Towards scalable within-season crop mapping with phenology normalization and deep learning. Geoscience and Remote Sensing Letters. 16:1390-1402. https://doi.org/10.1109/JSTARS.2023.3237500.
Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment - (Peer Reviewed Journal)
Gao, F.N., Jennewein, J.S., Hively, W.D., Soroka, A., Thieme, A., Bradley, D., Keppler, J., Mirsky, S.B., Akumaga, U. 2022. Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment. Science of Remote Sensing. 7. Article 100073. https://doi.org/10.1016/j.srs.2022.100073.
Evaluation of partitioned evaporation and transpiration estimates within the DisALEXI modeling framework over irrigated crops in California - (Peer Reviewed Journal)
Knipper, K.R., Anderson, M.C., Bambach, N., Kustas, W.P., Gao, F.N., Zahn, E., Hain, C., McElrone, A.J., Rosario Belfiore, O., Castro, S., Alsina, M.M., Saa, S. 2022. Evaluation of partitioned evaporation and transpiration estimates within the DisALEXI modeling framework over irrigated crops in California. Remote Sensing. 15(1). Article 68. https://doi.org/10.3390/rs15010068.
A vision for integrated, collaborative solutions to critical water and food challenges - (Peer Reviewed Journal)
Elias, E.H., Tsegaye, T.D., Hapeman, C.J., Mankin, K.R., Kleinman, P.J., Cosh, M.H., Peck, D.E., Coffin, A.W., Archer, D.W., Alfieri, J.G., Anderson, M.C., Baffaut, C., Baker, J.M., Bingner, R.L., Bjorneberg, D.L., Bryant, R.B., Gao, F.N., Gao, S., Heilman, P., Knipper, K.R., Kustas, W.P., Leytem, A.B., Locke, M.A., McCarty, G.W., McElrone, A.J., Moglen, G.E., Moriasi, D.N., OShaughnessy, S.A., Reba, M.L., Rice, P.J., Silber-Coats, N., Wang, D., White, M.J., Dombrowski, J.E. 2023. A vision for integrated, collaborative solutions to critical water and food challenges. Journal of Soil and Water Conservation. 78(3):63A-68A. https://doi.org/10.2489/jswc.2023.1220A.
Remote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination - (Peer Reviewed Journal)
Thieme, A., Hively, W.D., Gao, F.N., Jennewein, J.S., Mirsky, S.B., Soroka, A., Keppler, J., Bradley, D., Skakun, S., McCarty, G.W. 2023. Remote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination. Agronomy Journal. 15:442–458. https://doi.org/10.1002/agj2.21207.
Fifty years of Landsat science and impacts - (Peer Reviewed Journal)
Wulder, M., Roy, D., Radeloff, V., Loveland, T., Anderson, M.C., Johnson, D., Healey, S., Zhu, Z., Scambos, T., Pahlevan, N., Hansen, M., Gorelick, N., Crawford, C., Masek, J., Hermosilla, T., White, J., Belward, A., Schaaf, C., Woodcock, C., Huntington, J., Lymburner, L., Hostert, P., Gao, F.N., Lyapustin, A., Pekel, J., Strobl, P., Cook, B. 2022. Fifty years of Landsat science and impacts. Remote Sensing of Environment. 280. Article 113195. https://doi.org/10.1016/j.rse.2022.113195.
Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information - (Proceedings)
Gao, R., Alsina, M., Torres, A., Hipps, E., Kustas, W.P., White, W.A., Anderson, M.C., Alfieri, J.G., Dokoozlian, N., Nieto, H., Gao, F.N., McKee, L.G., Prueger, J.H., Sanchez, L., Mcelrone, A.J., Bambach, N., Coopmans, C., Gowing, I. 2022. Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information. Society of Photo-Optical Instrumentation Engineers. 7:121140K. https://doi.org/10.1117/12.2622995.
Evaluation of satellite leaf area index in California vineyards for improving water use estimation - (Peer Reviewed Journal)
Kang, Y., Gao, F.N., Anderson, M.C., Kustas, W.P., Nieto, H., Knipper, K.R., Yang, Y., White, W.A., Torres-Rua, A., Alsina, M., Karnell, A. 2022. Evaluation of satellite leaf area index in California vineyards for improving water use estimation. Irrigation Science. https://doi.org/10.1007/s00271-022-00798-8.
Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion - (Peer Reviewed Journal)
Xue, J., Anderson, M.C., Gao, F.N., Hain, C., Knipper, K.R., Yang, Y., Kustas, W.P., Yang, Y., Bambach, N., McElrone, A.J., Castro, S., Alfieri, J.G., Prueger, J.H., McKee, L.G., Hipps, L., Alsina, M. 2022. Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion. Irrigation Science. 40:609-634. https://doi.org/10.1007/s00271-022-00799-7.
Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley - (Peer Reviewed Journal)
Chen, F., Lei, F., Knipper, K.R., Gao, F.N., McKee, L.G., Alsina, M., Alfieri, J.G., Anderson, M.C., Bambach, N., Castro, S.J., McElrone, A.J., Alstad, K., Dokoozlian, N., Greifender, F., Kustas, W.P., Notarnicola, C., Agam, N., Prueger, J.H., Hipps, L., Crow, W.T. 2022. Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley. Irrigation Science. https://doi.org/10.1007/s00271-022-00789-9.
Improved daily evapotranspiration estimation using remotely sensed data in a data fusion system - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Xue, J., Knipper, K.R., Hain, C. 2022. Improved daily evapotranspiration estimation using remotely sensed data in a data fusion system. Remote Sensing. 14(8):1772. https://doi.org/10.3390/rs14081772.
Evaluating different metrics from the thermal-based two-source energy balance model for monitoring grapevine water stress - (Peer Reviewed Journal)
Nieto, H., Alsina, M.M., Kustas, W.P., Garcia-Tejera, O., Chen, F., Bambach, N., Gao, F.N., Alfieri, J.G., Hipps, L.E., Prueger, J.H., McKee, L.G., Zhan, E., Bou-Zeid, E., McElrone, A.J., Castro, S.J., Dokoozlian, N. 2022. Evaluating different metrics from the thermal-based two-source energy balance model for monitoring grapevine water stress. Irrigation Science. 40:697-713. https://doi.org/10.1007/s00271-022-00790-2.
Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards - (Peer Reviewed Journal)
Burchard-Levine, V., Nieto, H., Kustas, W.P., Gao, F.N., Alfieri, J.G., Prueger, J.H., Hipps, L.E., Bambach, N., McElrone, A.J., Castro, S., Alsina., McKee, L.G., Zhan, E., Bou-Zeid, E., Dokoozlian, N. 2022. Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards. Irrigation Science. 40:593-608. https://doi.org/10.1007/s00271-022-00787-x.
Inter-annual variability of land surface fluxes across vineyards: The role of climate, phenology, and irrigation management - (Peer Reviewed Journal)
Bambach, N.E., Kustas, W.P., Alfieri, J.G., Gao, F.N., Prueger, J.H., Hipps, L., McKee, L.G., Castro-Bustamante, S., Alsina, M.M., McElrone, A.J. 2022. Inter-annual variability of land surface fluxes across vineyards: The role of climate, phenology, and irrigation management. Irrigation Science. https://doi.org/10.1007/s00271-022-00784-0.
Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley - (Peer Reviewed Journal)
Kustas, W.P., Nieto, H., Garcia-Tejera, O., Bambach, N., McElrone, A.J., Gao, F.N., Alfieri, J.G., Hipps, L., Prueger, J.H., Torres, A., Anderson, M.C., Knipper, K.R., Alsina, M., McKee, L.G., Zahn, E., Bou-Zeid, E., Dokoozlian, N. 2022. Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley . Irrigation Science. 40:575-591. https://doi.org/10.1007/s00271-022-00778-y.
LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning - (Peer Reviewed Journal)
Gao, R., Torres, A., Aboutalebi, M., White, W.A., Anderson, M.C., Kustas, W.P., Agam, N., Alsina, N., Alfieri, J.G., Hipps, L., Dokoozlian, N., Nieto, H., Gao, F.N., McKee, L.G., Prueger, J.H., Sanchez, L., McElrone, A.J., Bambach, N., Coopmans, C., Gowing, I. 2022. LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning. Irrigation Science. 40:731-759. https://doi.org/10.1007/s00271-022-00776-0.
Influence of modeling domain and meteorological forcing data on daily evapotranspiration estimates from a Shuttleworth-Wallace model using Sentinel-2 surface reflectance data - (Peer Reviewed Journal)
Bhattarai, N., D'Urso, G., Kustas, W.P., Bambach, N., Anderson, M.C., McElrone, A.J., Knipper, K.R., Gao, F.N., Alsina, M., Aboutalebi, M., McKee, L.G., Alfieri, J.G., Prueger, J.H., Belfiore, O. 2022. Influence of modeling domain and meteorological forcing data on daily evapotranspiration estimates from a Shuttleworth-Wallace model using Sentinel-2 surface reflectance data. Irrigation Science. 40:497-513. https://doi.org/10.1007/s00271-022-00768-0.
Towards routine mapping of crop emergence within the season using the Harmonized Landsat and Sentinel-2 dataset - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Johnson, D., Seffrin, R., Wardlow, B., Suyker, A., Diao, C., Browning, D.M. 2021. Towards routine mapping of crop emergence within the season using the Harmonized Landsat and Sentinel-2 dataset. Remote Sensing. 13(24):5074 https://doi.org/10.3390/rs13245074.
Time-series clustering of remote-sensing retrievals for defining management zones in a vineyard - (Peer Reviewed Journal)
Ohana-Levi, N., Gao, F.N., Knipper, K.R., Kustas, W.P., Anderson, M.C., Alsina, M., Sanchez, L., Kameli, A. 2021. Time-series clustering of remote-sensing retrievals for defining management zones in a vineyard. Irrigation Science. https://doi.org/10.1007/s00271-021-00752-0.
Determining evapotranspiration by using combination equation models with Sentinel-2 data and comparison with thermalbased energy balance in a California irrigated vineyard - (Peer Reviewed Journal)
D'Urso, G., Falanga, B., Kustas, W.P., Knipper, K.R., Anderson, M.C., Alsina, M., Hain, C., Alfieri, J.G., Prueger, J.H., Gao, F.N., McKee, L.G., De Michele, C., Mcelrone, A.J. 2021. Determining evapotranspiration by using combination equation models with Sentinel-2 data and comparison with thermalbased energy balance in a California irrigated vineyard. Remote Sensing. 13(18):3720. https://doi.org/10.3390/rs13183720.
Evapotranspiration estimation and scaling effects on water resources management over a Mediterranean oak savanna in southern Spain - (Peer Reviewed Journal)
Carpintero, E., Anderson, M.C., Andreu, A., Hain, C., Gao, F.N., Kustas, W.P., Gonzalez-Dugo, M.P. 2021. Evapotranspiration estimation and scaling effects on water resources management over a Mediterranean oak savanna in southern Spain. Agricultural Water Management. 13(18):3701. https://doi.org/10.3390/rs13183701.
Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data - (Peer Reviewed Journal)
Zhang, X., Gao, F.N., Wang, J., Ye, Y. 2021. Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data. International Journal of Applied Earth Observation and Geoinformation. 104:102545. https://doi.org/10.1016/j.jag.2021.102545.
Hybrid phenology matching model for robust crop phenological retrieval - (Peer Reviewed Journal)
Diao, C., Yang, Z., Gao, F.N. 2021. Hybrid phenology matching model for robust crop phenological retrieval. Journal of Photogrammetry and Remote Sensing. 181:308-326. https://doi.org/10.1016/j.isprsjprs.2021.09.011.
Mapping daily evapotranspiration at field scale using the Harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy - (Peer Reviewed Journal)
Xue, J., Anderson, M.C., Gao, F.N., Hain, C., Yang, Y., Knipper, K.R., Kustas, W.P., Yang, Y. 2021. Mapping daily evapotranspiration at field scale using the Harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy. Remote Sensing. 13:3420. https://doi.org/10.3390/rs13173420.
Studying drought-induced forest mortality using high spatiotemporal resolution evapotranspiration data from thermal satellite imaging - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Wood, J.D., Gu, L., Hain, C. 2021. Studying drought-induced forest mortality using high spatiotemporal resolution evapotranspiration data from thermal satellite imaging. Remote Sensing of Environment. 265:112640. https://doi.org/10.1016/j.rse.2021.112640.
Constraints and opportunities for detecting land surface phenology in drylands - (Peer Reviewed Journal)
Taylor, S.D., Browning, D.M., Baca, R.A., Gao, F.N. 2021. Constraints and opportunities for detecting land surface phenology in drylands. Journal of Remote Sensing. 2:1-15. https://doi.org/10.1101/2021.05.21.445173.
Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series - (Peer Reviewed Journal)
Kearney, S.P., Porensky, L.M., Augustine, D.J., Derner, J.D., Gao, F.N. 2022. Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series. Ecological Applications. 32. Article e2503. https://doi.org/10.1002/eap.2503.
Multiscale assessment of agricultural consumptive water use in California's central valley - (Peer Reviewed Journal)
Wong, A., Jin, Y., Medellin-Azuara, J., Paw, K., Kent, E., Clay, J., Gao, F.N., Fisher, J., Rivera, G., Lee, C., Hemes, K., Echelmann, E., Baldocchi, D., Hook, S. 2021. Multiscale assessment of agricultural consumptive water use in California's central valley. Water Resources Research. 5. https://doi.org/10.1029/2020WR028876.
Estimation of the leaf area index from Landsat over the contiguous US Reprint Icon - (Peer Reviewed Journal)
Kang, Y., Ozdogan, M., Gao, F.N., Anderson, M.C., White, W.A., Yang, Y., Yang, Y., Erickson, T. 2021. Estimation of the leaf area index from Landsat over the contiguous US. Remote Sensing of Environment. 258:112383. https://doi.org/10.1016/j.rse.2021.112383.
Mapping crop phenology in near real-time using satellite remote sensing: challenges and opportunities - (Peer Reviewed Journal)
Gao, F.N., Zhang, X. 2021. Mapping crop phenology in near real-time using satellite remote sensing: challenges and opportunities. Journal of Remote Sensing. 2021:14. https://doi.org/10.34133/2021/8379391.
Phenological corrections to a field-scale, ET-based crop stress indicator: an application to yield forecasting across the U.S. Corn Belt - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Johnson, D., Yang, Y., Sun, L., Dulaney, W.P., Hain, C., Otkin, J., Prueger, J.H., Meyers, T., Bernacchi, C.J., Moore, C. 2021. Phenological corrections to a field-scale, ET-based crop stress indicator: an application to yield forecasting across the U.S. Corn Belt. Remote Sensing of Environment. 257:112337. https://doi.org/10.1016/j.rse.2021.112337.
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales - (Peer Reviewed Journal)
Anderson, M.C., Yang, Y., Xue, J., Knipper, K.R., Yang, Y., Gao, F.N., Hain, C., Kustas, W.P., Cawse-Nicholson, K., Hulley, G., Fisher, J., Alfieri, J.G., Meyers, T., Prueger, J.H., Baldocchi, D., Sanchez, C. 2020. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales. Remote Sensing of Environment. 252. Article 112189. https://doi.org/10.1016/j.rse.2020.112189.
Detecting cover crop end-of-season using VENS and Sentinel-2 satellite imagery - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Hively, W.D. 2020. Detecting cover crop end-of-season using VENS and Sentinel-2 satellite imagery. Remote Sensing. 12(21):3524. https://doi.org/10.3390/rs12213524.
Reconstructing daily 30 m vegetation index over complex agricultural landscapes using crop reference curves approach - (Peer Reviewed Journal)
Sun, L., Gao, F.N., Xie, D., Anderson, M.C., Chen, R., Yang, Y., Yang, Y., Chen, Z. 2020. Reconstructing daily 30 m vegetation index over complex agricultural landscapes using crop reference curves approach. Remote Sensing of Environment. 253:112156. https://doi.org/10.1016/j.rse.2020.112156.
Assessment of leaf area index derived from the harmonized Landsat and Sentinel-2 surface reflectance-based vegetation indices and crop height in semi-arid irrigated landscapes - (Peer Reviewed Journal)
Mourad, R., Jaafar, H., Anderson, M.C., Gao, F.N. 2020. Assessment of leaf area index derived from the harmonized Landsat and Sentinel-2 surface reflectance-based vegetation indices and crop height in semi-arid irrigated landscapes. Remote Sensing. 12(19):3121. https://doi.org/10.3390/rs12193121.
Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances - (Peer Reviewed Journal)
Xue, J., Anderson, M.C., Gao, F.N., Hain, C., Sun, L., Yang, Y., Knipper, K.R., Kustas, W.P., Torres, A., Schull, M. 2020. Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances. Remote Sensing of Environment. 251. Article 112055. https://doi.org/10.1016/j.rse.2020.112055.
Using satellite thermal-based evapotranspiration time series for defining management zones and spatial association to local attributes in a vineyard - (Peer Reviewed Journal)
Ohana-Levi, N., Knipper, K.R., Kustas, W.P., Anderson, M.C., Netzer, Y., Gao, F.N., del Mar Alsina, M., Sanchez, L., Karneli, A. 2020. Using satellite thermal-based evapotranspiration time series for defining management zones and spatial association to local attributes in a vineyard. Remote Sensing. 12(15):2436. https://doi.org/10.3390/rs12152436.
Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design - (Peer Reviewed Journal)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Nieto, H., Alfieri, J.G., Prueger, J.H., Hain, C.R., Gao, F.N., McKee, L.G., Mar Alsina, M., Sanchez, L. 2020. Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design. Agricultural Water Management. 241. Article 106361. https://doi.org/10.1016/j.agwat.2020.106361.
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Daughtry, C.S., Karnieli, A., Hively, W., Kustas, W.P. 2020. A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2020.111752.
Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion - (Peer Reviewed Journal)
Cao, Z., Chen, S., Gao, F.N., Li, X. 2020. Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion. Physics and Chemistry of the Earth. 116:102859. https://doi.org/10.1016/j.pce.2020.102859.
Development and evaluation of a new algorithm for detecting 30m land surface phenology from VIIRS and HLS time series - (Peer Reviewed Journal)
Zhang, X., Wang, J., Henebry, G., Gao, F.N. 2020. Development and evaluation of a new algorithm for detecting 30m land surface phenology from VIIRS and HLS time series. Journal of Photogrammetry and Remote Sensing. 161:37-51. https://doi.org/10.1016/j.isprsjprs.2020.01.012.
Re-understanding of land surface albedo and related terms in satellite-based retrievals - (Peer Reviewed Journal)
Shuai, Y., Tuerhanjiang, L., Shao, C., Gao, F.N., Zhou, Y., Xie, D., Liu, T., Liang, J., Chu, N. 2020. Re-understanding of land surface albedo and related terms in satellite-based retrievals. Big Earth Data. https://doi.org/10.1080/20964471.2020.1716561.
Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard - (Peer Reviewed Journal)
Lei, F., Crow, W.T., Kustas, W.P., Dong, J., Yang, Y., Knipper, K.R., Anderson, M.C., Gao, F.N., Notarnicola, C., Greifeneder, F., Mckee, L.G., Alfieri, J.G., Hain, C., Dokoozlian, N. 2020. Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111622.
Big data reveals drivers of vegetation phenology and cattle productivity in semi-arid rangelands - (Abstract Only)
Crop growth condition assessment at county scale based on heat-aligned growth stages - (Peer Reviewed Journal)
Quan, Y., Yang, Z., Di, L., Rahman, M., Xue, L., Tran, Z., Gao, F.N., Yu, E., Zhang, X. 2019. Crop growth condition assessment at county scale based on heat-aligned growth stages. Remote Sensing. 11:2439. https://doi.org/10.3390/rs11202439.
Using high-spatiotemporal thermal satellite ET retrievals for near-real time water use and stress monitoring in a California vineyard - (Peer Reviewed Journal)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Alsina, M., Hain, C., Alfieri, J.G., Prueger, J.H., Gao, F.N., McKee, L.G., Sanchez, L. 2019. Using high-spatiotemporal thermal satellite ET retrievals for near-real time water use and stress monitoring in a California vineyard. Remote Sensing. 11(18):2124. https://doi.org/10.3390/rs11182124.
Grass intercrop and soil water content have a secondary effect on soil heat flux (SHF) in a wine vineyard – implications on SHF measurements - (Peer Reviewed Journal)
Agam, N., Kustas, W.P., Alfieri, J.G., Gao, F.N., Mckee, L.G., Prueger, J.H., Hipps, L. 2019. Grass intercrop and soil water content have a secondary effect on soil heat flux (SHF) in a wine vineyard – implications on SHF measurements. Irrigation Science. https://doi.org/10.1007/s00271-019-00634-6.
Mapping climatological bare soil albedos over the contiguous United States using MODIS data - (Peer Reviewed Journal)
Tao, H., Gao, F.N., Liang, S., Peng, Y. 2019. Mapping climatological bare soil albedos over the contiguous United States using MODIS data. Remote Sensing. 11:666. https://doi.org/10.3390/rs11060666.
Current status of Landsat program, science, and applications - (Peer Reviewed Journal)
Wulder, M., Loveland, T., Roy, D., Crawford, C., Masek, J., Woodcock, C., Allen, R., Anderson, M.C., Belward, A., Cohen, W., Dwyer, J., Erd, A., Gao, F.N., Griffiths, P., Helder, D., Hermosilla, T., Hipple, J., Hostert, P., Hughes, M., Huntington, J., Johnson, D., Kennedy, R., Kilic, A., Li, Z., Lymburner, L. 2019. Current status of Landsat program, science, and applications. Remote Sensing of Environment. 225:127-147. https://doi.org/10.1016/j.rse.2019.02.015.
Application of a land surface temperature-based multi-scale modeling system for estimating surface energy balance over complex landscapes - (Abstract Only)
Challenges that beyond-visual-line-of-sight technology will create for UAS-based remote sensing in agriculture - (Abstract Only)
Mckee, M., Torres-Rua, A., Aboutalebi, M., Nassar, A., Coopmans, C., Kustas, W.P., Gao, F.N., Dokoozlian, N., Sanchez, L., Alsina, M. 2019. Challenges that beyond-visual-line-of-sight technology will create for UAS-based remote sensing in agriculture. Meeting Abstract. https://doi.org/10.1117/12.2520248.
Impact of insolation data source on remote sensing retrievals of evapotranspiration over the California Delta - (Peer Reviewed Journal)
Anderson, M.C., Diak, G., Gao, F.N., Knipper, K.R., Hain, C., Eichelmann, E., Hemes, K., Baldocchi, D., Kustas, W.P., Alfieri, J.G. 2019. Impact of insolation data source on remote sensing retrievals of evapotranspiration over the California Delta. Remote Sensing. 11:216. https://doi.org/10.3390/rs11030216.
Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Noormets, A., Sun, G., Wynne, R., Thomas, V. 2020. Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2018.12.017.
A multi-year intercomparison of micrometeorological observations at adjacent vineyards in California’s Central Valley during GRAPEX - (Peer Reviewed Journal)
Alfieri, J.G., Kustas, W.P., Prueger, J.H., McKee, L.G., Hipps, L., Gao, F.N. 2018. A multi-year intercomparison of micrometeorological observations at adjacent vineyards in California’s Central Valley during GRAPEX. Irrigation Science. 37(3):345-357. https://doi.org/10.1007/s00271-018-0599-3.
The influence of environmental conditions on the surface fluxes from adjacent vineyards in California’s Central Valley - (Abstract Only)
Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards - (Peer Reviewed Journal)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Hain, C., Gao, F.N., Yang, Y., McKee, L.G., Nieto, H., Hipps, L., Aisha, M., Sanchez, L. 2018. Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards. Irrigation Science. https://doi.org/10.1007/s00271-018-0591-y.
Real-time monitoring of crop phenology in the midwestern United States using VIIRS observations - (Peer Reviewed Journal)
Liu, L., Zhang, X., Yu, Y., Gao, F.N., Yang, Z. 2018. Real-time monitoring of crop phenology in the midwestern United States using VIIRS observations. Remote Sensing. 10:1540. https://doi.org/10.3390/rs10101540.
Assessing variability of corn and soybean yields in central Iowa using high spatiotemporal resolution multi-satellite imagery - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Daughtry, C.S., Johnson, D. 2018. Assessing variability of corn and soybean yields in central Iowa using high spatiotemporal resolution multi-satellite imagery. Remote Sensing of Environment. 10:1489. https://doi.org/10.3390/rs10091489.
Using APAR to predict aboveground plant productivity in semi-arid rangelands: Spatial and temporal relationships differ - (Peer Reviewed Journal)
Gaffney, R.M., Porensky, L.M., Gao, F.N., Irisarri, J., Durante, M., Derner, J.D., Augustine, D.J. 2018. Using APAR to predict aboveground plant productivity in semi-arid rangelands: Spatial and temporal relationships differ. Remote Sensing. 10:1474. https://doi.org/10.3390/rs10091474.
Utility of the Two-Source Energy Balance (TSEB) model in vine and interrow flux partitioning over the growing season - (Peer Reviewed Journal)
Kustas, W.P., Alfieri, J.G., Nieto, H., Wilson, T.G., Gao, F.N., Anderson, M.C. 2018. Utility of the Two-Source Energy Balance (TSEB) model in vine and interrow flux partitioning over the growing season. Irrigation Science. https://doi.org/10.1007/s00271-018-0586-8.
Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery Reprint Icon - (Peer Reviewed Journal)
Nieto, H., Kustas, W.P., Torres, A., Alfieri, J.G., Gao, F.N., Anderson, M.C., White, W.A., Song, L., Alsina, M., Prueger, J.H., McKee, L.G. 2018. Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrigation Science. https://doi.org/10.1007/s00271-018-0585-9.
Integration of a physically-based soil moisture module into SWAT to improve hydrology model structure - (Peer Reviewed Journal)
Qi, J., Zhang, X., McCarty, G.W., Sadeghi, A.M., Cosh, M.H., Zeng, X., Gao, F.N., Daughtry, C.S., Haung, C., Lang, M., Arnold, J.G. 2018. Integration of a physically-based soil moisture module into SWAT to improve hydrology model structure. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2018.08.024.
Determining a robust indirect measurement of leaf area index in California vineyards for validating remote sensing-based retrievals - (Peer Reviewed Journal)
White, W.A., Alsina, M., Nieto, H., McKee, L.G., Gao, F.N., Kustas, W.P. 2018. Determining a robust indirect measurement of leaf area index in California vineyards for validating remote sensing-based retrievals. Irrigation Science. https://doi.org/10.1007/s00271-018-0614-8.
The retrieval of high-resolution LAI from Landsat data by combining MODIS products - (Peer Reviewed Journal)
Zhou, J., Zhang, S., Yang, H., Xiao, Z., Gao, F.N. 2018. The retrieval of high-resolution LAI from Landsat data by combining MODIS products. Remote Sensing. 10(8):1187. https://doi.org/10.3390/rs10081187.
Improving spatial-temporal data fusion by choosing optimal input image pairs - (Peer Reviewed Journal)
Xie, D., Gao, F.N., Sun, L., Anderson, M.C. 2018. Improving spatial-temporal data fusion by choosing optimal input image pairs. Remote Sensing. 10:1142. https://doi.org/10.3390/rs10071142.
Mapping daily leaf area index at 30m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data - (Peer Reviewed Journal)
Li, Z., Huag, C., Zhu, Z., Gao, F.N., Tang, H., Xin, X., Ding, L., Shen, B., Liu, J., Chen, B., Wang, X., Yan, R. 2018. Mapping daily leaf area index at 30m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data. International Journal of Remote Sensing. 39(23):9025-9053. https://doi.org/10.1080/01431161.2018.1504342.
Field-scale assessment of land and water use change over the California Delta using remote sensing - (Peer Reviewed Journal)
Anderson, M.C., Gao, F.N., Knipper, K.R., Hain, C., Dulaney, W.P., Baldocchi, D., Eichelmann, E., Hemes, K., Yang, Y., Medellin, A., Kustas, W.P. 2018. Field-scale assessment of land and water use change over the California Delta using remote sensing. Remote Sensing. 10(6):889. https://doi.org/10.3390/rs10060889.
Mapping paddy rice area and yields over Thai Binh province in Viet Nam from MODIS, Landsat and ALOS-2/PALSAR-2 - (Peer Reviewed Journal)
Guan, K., Li, Z., Rao, N., Gao, F.N., Xie, D., Zeng, Z. 2018. Mapping paddy rice area and yields over Thai Binh province in Viet Nam from MODIS, Landsat and ALOS-2/PALSAR-2. Remote Sensing of Environment. 1-15. https://doi.org/10.1109/JSTARS.2018.2834383.
Assessment of spatiotemporal fusion algorithms for Planet and Worldview images - (Peer Reviewed Journal)
Kwan, C., Zhu, X., Gao, F.N., Chou, B., Perez, D., Li, J., Shen, Y., Koperski, K., Marchsio, G. 2018. Assessment of spatiotemporal fusion algorithms for Planet and Worldview images. Sensors. 18(4):1051. https://doi.org/10.3390/s18041051.
The grape remote sensing atmospheric profile and evapotranspiration experiment - (Peer Reviewed Journal)
Kustas, W.P., Anderson, M.C., Alfieri, J.G., Knipper, K.R., Torres, A., Parry, C.K., Nieto, H., Agam, N., White, W.A., Gao, F.N., McKee, L.G., Prueger, J.H., McElrone, A.J., Los, S., Alsina, M., Sanchez, L., Sam, B., Dokoozlian, N., McKee, M., Jones, S., Hipps, L., Heitman, J., Howard, A., Post, K., Melton, F. 2018. An overview of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Bulletin of the American Meterological Society. 99(9):1791-1812. https://doi.org/10.1175/BAMS-D-16-0244.1.
A hybrid color mapping approach to fusing MODIS and Landsat images for forward prediction - (Peer Reviewed Journal)
Kwan, C., Budavari, B., Gao, F.N. 2018. A hybrid color mapping approach to fusing MODIS and Landsat images for forward prediction. Remote Sensing. 10:520. https://doi.org/10.3390/rs10040520.
Field-scale mapping of evaporative stress indicators of crop yield: an application over Mead, Nebraska - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Wardlow, B., Hain, C., Otkin, J., Alfieri, J.G., Yang, Y., Sun, L., Dulaney, W.P. 2018. Field-scale mapping of evaporative stress indicators of crop yield: an application over Mead, Nebraska. Remote Sensing of Environment. 210:387-402.
Investigating water use over the Choptank River Watershed using a multi-satellite data fusion approach - (Peer Reviewed Journal)
Sun, L., Anderson, M.C., Gao, F.N., Hain, C., Alfieri, J.G., Sharifi, A., McCarty, G.W., Yang, Y., Yang, Y., Kustas, W.P., Mckee, L.G. 2017. Investigating water use over the Choptank River Watershed using a multi-satellite data fusion approach. Water Resources Research. 53:5298-5319.
Deriving a global land surface albedo product from Landsat MSS, TM, ETM+, and OLI data based on the unified direct estimation approach - (Peer Reviewed Journal)
Tao, H., Liang, S., Wang, D., Cao, Y., Gao, F.N., Yu, Y., Feng, M. 2017. Deriving a global land surface albedo product from Landsat MSS, TM, ETM+, and OLI data based on the unified direct estimation approach. Remote Sensing of Environment. 24:181-196. https://doi.org/10.1016/j.rse.2017.10.031.
Monitoring water use and stress with evapotranspiration estimates derived using thermal-based satellite remote sensing in California vineyards - (Abstract Only)
Knipper, K., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Gao, F., McKee, L.G., Hipps, L.E., Alsina, M. 2018. Monitoring water use and stress with evapotranspiration estimates derived using thermal-based satellite remote sensing in California vineyards. AMS Annual Meeting Abstract. [online] https://ams.confex.com/ams/98Annual/webprogram/Paper327040.html.
Continuous evapotranspiration monitoring and water stress at watershed scale in a Mediterranean oak savanna - (Abstract Only)
Carpintero, E., Gonzalez-Dugo, M., Hain, C., Nieto, H., Gao, F.N., Andreu, A., Kustas, W.P., Anderson, M.C. 2017. Continuous evapotranspiration monitoring and water stress at watershed scale in a Mediterranean oak savanna. Proceedings of SPIE.Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 99980N;doi:10.1117/12.2241521.
Spatial and temporal remote sensing data fusion for vegetation monitoring - (Abstract Only)
Estimating daily Landsat-scale evapotranspiration over a managed pine plantation in North Carolina, USA using a data fusion method - (Abstract Only)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P., Noormets, A., Wynne, R., Thomas, V., Sun, G. 2016. Estimating daily Landsat-scale evapotranspiration over a managed pine plantation in North Carolina, USA using a data fusion method. Meeting Abstract. New Orleans, Louisiana, 10th -14th January 2016 CDRDM.
An intercomparison of evapotranspiration estimates derived using thermal-based satellite remote sensing for irrigation management in California vineyards - (Abstract Only)
Knipper, K., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Gao, F., McKee, L.G., Hipps, L.E., Alsina, M. 2018. An intercomparison of evapotranspiration estimates derived using thermal-based satellite remote sensing for irrigation management in California vineyards [abstract]. Pecora Abstracts. p. 29.
How does spatial and temporal resolution of vegetation index impact crop yield estimation? - (Abstract Only)
Daily monitoring of vegetation conditions and evapotranspiration at field scale by fusing multi-satellite images - (Abstract Only)
Use of high resolution remotely sensed evapotranspiration retrievals for calibration of a process-based hydrologic model in data-poor basins - (Abstract Only)
Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data - (Peer Reviewed Journal)
Sun, L., Chen, Z., Gao, F.N., Anderson, M.C., Song, L., Wang, L., Hu, B., Yang, Y. 2017. Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data. IEEE Transactions on Geoscience and Remote Sensing. 105:10-20. doi:10.1016/j.cageo.2017.04.007.
Improving crop condition monitoring at field scale by using optimal Landsat and MODIS images - (Abstract Only)
Satellite-based mapping of field-scale stress indicators for crop yield forecasting: an application over Mead, NE - (Abstract Only)
Evaluation of evapotranspiration estimates derived using satellite remote sensing for irrigation management in California vineyards - (Abstract Only)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Gao, F.N., Mckee, L.G., Hipps, L., Alsina, M. 2018. Evaluation of evapotranspiration estimates derived using satellite remote sensing for irrigation management in California vineyards. Beltsville Agricultural Research Center Symposium. pg 44.
Toward daily monitoring of vegetation conditions at field scale through fusing data from multiple sensors - (Abstract Only)
Global climate forcing from albedo change caused by large-scale deforestation and reforestation: quantification and attribution of geographic variation - (Peer Reviewed Journal)
Jiao, T., Williams, C., Ghimire, B., Masek, J., Gao, F.N., Schaaf, C. 2017. Global climate forcing from albedo change caused by large-scale deforestation and reforestation: quantification and attribution of geographic variation. Journal of Climate Change. doi:10.1007/s10584-017-1962-8.
Daily mapping of 30m LAI and NDVI for grape yield prediction in California vineyards - (Peer Reviewed Journal)
Sun, L., Gao, F.N., Anderson, M.C., Kustas, W.P., Alsina, M., Sanchez, L., Sams, B., Mckee, L.G., Dulaney, W.P., White, W.A., Alfieri, J.G., Prueger, J.H., Melton, F. 2017. Daily mapping of 30m LAI and NDVI for grape yield prediction in California vineyards. Remote Sensing. doi:10.3390/rs9040317.
Evaluating high temporal and spatial resolution vegetation index for crop yield prediction - (Abstract Only)
Applications for remotely sensed evapotranspiration data in monitoring water quality, water use, and water security - (Abstract Only)
Anderson, M.C., Hain, C., Gao, F.N., Yang, Y., Sun, L., Yang, Y., Dulaney, W.P., Sharifi, A., Kustas, W.P., Holmes, T. 2017. Applications for remotely sensed evapotranspiration data in monitoring water quality, water use, and water security [abstract]. European Geosciences Union General Assembly Proceedings. Abstract No. HSA2.1.5.
Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic data from Landsat and MODIS BRDF/albedo product - (Peer Reviewed Journal)
Wang, Z., Schaaf, C., Sun, Q., Kim, J., Erb, A., Gao, F.N., Roman, M., Yang, Y., Petroy, S., Taylor, J., Masek, J., Morisette, J., Zhang, X. 2017. Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic data from Landsat and MODIS BRDF/albedo product. Geophysical Research Letters. 59:104-117.
Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards - (Abstract Only)
Impact of tile drainage on evapotranspiration in South Dakota, USA based on high spatiotemporal resolution ET timeseries from a multi-satellite data fusion system - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P., Meyers, T., Crow, W.T., Finocchiaro, R., Otkin, J., Sun, L., Yang, Y. 2017. Impact of tile drainage on evapotranspiration in South Dakota, USA based on high spatiotemporal resolution ET timeseries from a multi-satellite data fusion system. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2017.2680411.
A Thermal-based Two-Source Energy Balance Model for Estimating Evapotranspiration over Complex Canopies - (Abstract Only)
Kustas, W.P., Anderson, M.C., Nieto, H., Andreu, A., Yang, Y., Carmmalleri, C., Alfieri, J.G., Gao, F.N., Hain, C., Torres, A. 2017. A Thermal-based Two-Source Energy Balance Model for Estimating Evapotranspiration over Complex Canopies. European Geosciences Union General Assembly Proceedings. /EGU2017/EGU2017-2973.pdf.
Daily Landsat-scale evapotranspiration estimation over a managed pine plantation in North Carolina, USA using multi-satellite data fusion - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Semmens, K., Kustas, W.P., Noormets, A., Wynne, R., Thomas, V., Sun, G. 2017. Daily Landsat-scale evapotranspiration estimation over a managed pine plantation in North Carolina, USA using multi-satellite data fusion. Hydrology and Earth System Sciences. 21:1017-1037. doi:10.5194/hess-21-1017-2017.
Modeling the effects of the urban built-up environment on plant phenology using fused satellite data - (Peer Reviewed Journal)
Gervais, N., Buyantuev, A., Gao, F.N. 2017. Effects of the urban built-up environment on plant phenology: high-resolution analysis with fused Landsat and MODIS data. Remote Sensing of Environment. doi:10.3390/rs9010099.
Exploration of scaling effects on coarse resolution land surface phenology - (Peer Reviewed Journal)
Zhang, X., Wang, J., Gao, F.N., Liu, Y., Schaaf, C., Henebry, G., Friedl, M., Yu, Y., Jayavelu, S., Gray, J., Liu, L., Yan, D. 2017. Exploration of scaling effects on coarse resolution land surface phenology. Remote Sensing of Environment. 190:318-330.
Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk - (Peer Reviewed Journal)
Mollor, M., Gerstmann, H., Forster, M., Dahms, T., Gao, F.N. 2016. Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk. Catena. 150:192-205.
Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery Reprint Icon - (Peer Reviewed Journal)
Gao, F., Anderson, M.C., Zhang, X., Yang, Z., Alfieri, J.G., Kustas, W.P., Mueller, R., Johnson, D., Prueger, J.H. 2016. Mapping crop progress at field scales using Landsat and MODIS. Remote Sensing of Environment. 188:9-25.
Agricultural applications for remotely sensed evapotranspiration data in monitoring water use, water quality, and water security - (Abstract Only)
Anderson, M.C., Hain, C., Gao, F.N., Yang, Y., Sun, L., Yang, Y., Dulaney, W.P., Sharifi, A., Holmes, T., Kustas, W.P. 2016. Agricultural applications for remotely sensed evapotranspiration data in monitoring water use, water quality, and water security. American Geophysical Union.2016 CD-ROM.
Utility of thermal-based two-source energy balance model for estimating vineyard evapotranspiration at field and regional scales - (Abstract Only)
Kustas, W.P., Anderson, M.C., Nieto, H., Ting, X., Prueger, J.H., Mckee, L.G., Alfieri, J.G., Gao, F.N., Hain, C., Torres, A., Alarab, M., Geli, H., Sanchez, L. 2017. Utility of thermal-based two-source energy balance model for estimating vineyard evapotranspiration at field and regional scales. American Meteorological Society. https://ams.confex.com/ams/97Annual/webprogram/Paper307102.html.
Mapping evapotranspiration at fine spatial and temporal resolution by fusing multiple satellite resources - (Abstract Only)
Anderson, M.C., Hain, C., Gao, F.N., Yang, Y., Sun, L., Yang, Y., Kustas, W.P. 2016. Mapping evapotranspiration at fine spatial and temporal resolution by fusing multiple satellite resources [abstract]. Ninth International Symposium on Biological Control. 2016 CD-ROM.
Calibration of a complex watershed model using high resolution remotely sensed evapotranspiration retrievals - (Abstract Only)
Sharifi, A., Sun, L., Anderson, M.C., Mccarty, G.W., Crow, W.T., Gao, F.N., Sadeghi, A.M. 2016. Calibration of a complex watershed model using high resolution remotely sensed evapotranspiration retrievals. [abstract] American Geophysical Union. San Francisico December 12-16, 2016. CDROM.
Investigating water use over the Choptank River Watershed using a multi-satellite data fusion approach - (Abstract Only)
Sun, L., Anderson, M.C., Gao, F.N., Hain, C., Alfieri, J.G., Sharifi, A., Yang, Y., Yang, Y., Dulaney, W.P. 2017. Investigating water use over the Choptank River Watershed using a multi-satellite data fusion approach. American Meteorological Society of the Conference on Hydrology Proceedings. 2017 CD-ROM.
Impact of tile drainage on evapotranspiration (ET) using long-term daily high resolution ET estimated with a multi-satellite data fusion method - (Abstract Only)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P., Meyers, T., Wilson, T., Crow, W.T., Sun, L., Yang, Y. 2017. Impact of tile drainage on evapotranspiration (ET) using long-term daily high resolution ET estimated with a multi-satellite data fusion method. American Meteorological Society. 2017 CD-ROM.
Study of water use in the central sands of Wisconsin at high spatiotemporal resolution - (Abstract Only)
Yang, Y., Anderson, M.C., Gao, F.N., Yang, Y., Sun, L., Dulaney, W.P., Nocco, M. 2017. Study of water use in the central sands of Wisconsin at high spatiotemporal resolution. American Meteorological Society. 2017 CD-ROM..
Calibration of a complex watershed model using high resolution remotely sensed evapotranspiration retrievals - (Abstract Only)
An energy balance approach for mapping crop waterstress and yield impacts over the Czech Republic - (Peer Reviewed Journal)
Anderson, M.C., Hain, C., Jurecka, F., Trnka, M., Hlavinka, Dulaney, W.P., Otkin, J., Johnson, D., Gao, F.N. 2016. An energy balance approach for mapping crop waterstress and yield impacts over the Czech Republic. Climate Research. 70:215-230.
Compositing MODIS Terra and Aqua 250m daily surface reflectance data sets for vegetation monitoring - (Abstract Only)
Yang, Z., Gao, F.N., Hu, L., Yu, G., Di, L. 2016. Compositing MODIS Terra and Aqua 250m daily surface reflectance data sets for vegetation monitoring. Meeting Abstract. 2016 CDROM.
Study of water use in the Central Sands of Wisconsin at high spatiotemporal resolution - (Abstract Only)
Yang, Y., Anderson, M.C., Gao, F.N., Yang, Y., Sun, L. 2016. Study of water use in the Central Sands of Wisconsin at high spatiotemporal resolution. BARC Poster Day. maryland.
Investigating trends in water use over the Choptank River watershed using a multi-satellite data fusion approach - (Abstract Only)
Sun, L., Anderson, M.C., Gao, F., Yang, Yun, Yang, Yang, Dulaney, W.P. 2016. Investigaing trends in water use over the Choptank River watershed using a multi-satellite data fusion approach [abstract]. 2016 BARC Poster Day, April 27, 2016, Beltsville, Maryland
Spatial and temporal information fusion for crop condition monitoring - (Proceedings)
Gao, F.N., Anderson, M.C., Xie, D. 2016. Spatial and temporal information fusion for crop condition monitoring. Meeting Abstract. 2016 CDROM.
Mapping evapotranspiration with high resolution aircraft imagery over vineyards using one and two source modeling schemes - (Peer Reviewed Journal)
Xia, T., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Gao, F.N., Mckee, L.G., Prueger, J.H., Geli, H., Neale, C., Sanchez, L., Alsina, M., Wang, Z. 2016. Mapping evapotranspiration with high resolution aircraft imagery over vineyards using one and two source modeling schemes. Hydrology and Earth System Sciences. 20:1523-1545.
Monitoring crop condition at field scale using multiple remote sensing data - (Abstract Only)
Gao, F.N., Anderson, M.C. 2016. Monitoring crop condition at field scale using multiple remote sensing data. Meeting Abstract. 2016 CDROM.
Daily mapping of Landsat-like LAI and correlation to grape yield - (Proceedings)
Sun, L., Gao, F.N., Anderson, M.C., Dulaney, W.P., Alsina, M., Sanchez, L., Sams, B., Mckee, L.G., White, W.A., Kustas, W.P., Alfieri, J.G., Prueger, J.H. 2016. Daily mapping of Landsat-like LAI and correlation to grape yield. Meeting Abstract. 2016 CDROM.
Evaluation of ASTER-like daily land surface temperature by fusing ASTER and MODIS data during the HiWATER-MUSOEXE Reprint Icon - (Peer Reviewed Journal)
Yang, G., Weng, Q., Pu, R., Gao, F.N., Sun, C., Li, H., Zhao, C. 2016. Evaluation of ESTARFM based algorithm for generating land surface temperature products by fusing ASTER and MODIS data during the HiWATER-MUSOEXE. Remote Sensing. 8, 75; doi:10.3390/rs8010075.
Comprehensive lake dynamics mapping at continental scales using Landsat 8 Reprint Icon - (Peer Reviewed Journal)
Sheng, Y., Song, C., Wang, J., Lyons, E., Knox, B., Cox, J., Gao, F.N. 2016. Comprehensive lake dynamics mapping at continental scales using Landsat 8. Remote Sensing of Environment. doi:10.1016/j.rse.2015.12.041.
Assessing correlations of satellite-derived evapotranspiration, precipitation and leaf area index anomalies with yields of major Brazilian crops - (Peer Reviewed Journal)
Anderson, M.C., Zolin, C., Sentelhas, P., Hain, C., Semmens, K., Yilmaz, M., Gao, F.N., Otkin, J., Tetrault, R. 2016. Assessing correlations of satellite-derived evapotranspiration, precipitation and leaf area index anomalies with yields of major Brazilian crops. Remote Sensing of Environment. 174:82-99.
Framework for automated spatio-temporal enhancement of coarse resolution leaf area index (FASE-LAI) – Application to MODIS LAI Reprint Icon - (Peer Reviewed Journal)
Houborg, R., Mccabe, M., Gao, F.N. 2015. Framework for automated spatio-temporal enhancement of coarse resolution leaf area index (FASE-LAI) – Application to MODIS LAI. Remote Sensing of Environment. 47:15-29.
A Flexible Spatiotemporal Method for Fusing Satellite Images with Different Resolutions Reprint Icon - (Peer Reviewed Journal)
Zhu, X., Lefsky, M., Helmer, E., Liu, D., Chen, J., Gao, F.N. 2015. A flexible spatiotemporal method for fusing satellite images with different resolutions. Remote Sensing of Environment. 172:165-177.
Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach Reprint Icon - (Peer Reviewed Journal)
Semmens, K., Anderson, M.C., Kustas, W.P., Gao, F.N., Alfieri, J.G., Mckee, L.G., Prueger, J.H., Hain, C., Cammalleri, C., Yang, Y., Xia, T., Sanchez, L., Alsina, M., Velez, M. 2016. Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach. Remote Sensing of Environment. doi: 10.1016/j.rse.2015.1010.1025.
Upscaling and downscaling of land surface fluxes with surface temperature - (Abstract Only)
Kustas, W.P., Anderson, M.C., Hain, C., Albertson, J., Gao, F.N., Yang, Y. 2015. Upscaling and downscaling of land surface fluxes with surface temperature [abstract]. https://agu.confex.com/agu/fm15/meetingapp.cgi/paper/63549.
Monitoring of water use, drought and yield impacts using imagery from multiple satellites - (Abstract Only)
Anderson, M.C., Jurecka, F., Trnka, M., Hlavinka, P., Gao, F.N., Hain, C., Yang, Y., Holmes, T.R., Crow, W.T., Kustas, W.P. 2015. Monitoring of water use, drought and yield impacts using imagery from multiple satellites. Meeting Abstract.Evaluation of drought and drought impacts through interdisciplinary methods , abstract for the 2015 InterDrought Project Summer School, Mikulov, Czech Republic, June 7-13 2015. CD-ROM CD-ROM..
Using a data fusion method to estimate daily stand-scale evapotranspiration over a managed pine plantation in North Carolina, USA - (Abstract Only)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, Kustas, W.P., Noormets, A., Wynne, R., Thomas, V., Sun, G. 2015. Using a data fusion method to estimate daily stand-scale evapotranspiration over a managed pine plantation in North Carolina, USA. Meeting Abstract. San Francisco, December 14th to 18th, 2015 CDROM.
A thermal-based remote sensing modeling system for estimating daily evapotranspiration from field to global scales - (Abstract Only)
Kustas, W.P., Anderson, M.C., Hain, Gao, F.N., Yang, Y. 2015. A thermal-based remote sensing modeling system for estimating daily evapotranspiration from field to global scales [abstract]. https://scisoc.confex.com/scisoc/2015am/webprogram/paper94723.html.
Monitoring agricultural water use, water productivity and drought using multi-platform satellite data - (Abstract Only)
A thermal-based remote sensing modeling system for estimating evapotranspiration from field to global scales - (Abstract Only)
Kustas, W.P., Anderson, M.C., Hain, C., Gao, F.N., Alfieri, J.G., Yang, Y., Cammalleri, C. 2015. A thermal-based remote sensing modeling system for estimating evapotranspiration from field to global scales [abstract]. Earth Observation for Water Cycle Science, ESA Abstract Book: pp.34-35.
Daily high spatial resolution evapotranspiration estimation using multi-satellite data fusion over a managed pine plantation in North Carolina, USA - (Abstract Only)
Mapping tillage intensity by integrating multiple remote sensing data - (Abstract Only)
Gao, F.N., Daughtry, C.S., Stern, A.J., Quemada, M. 2015. Mapping tillage intensity by integrating multiple remote sensing data [abstract]. 20th International Soil Tillage Research Organization (ISTRO) Conference, Nanjing, China, September 14-18, 2015. 2015 CDROM.
Fusing Landsat and MODIS data for vegetation monitoring Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Hilker, T., Zhu, X., Anderson, M.C., Masek, J., Wang, P., Yang, Y. 2015. Fusing Landsat and MODIS data for vegetation monitoring. IEEE Geoscience and Remote Sensing Magazine. 3:47-60.
Daily stand-scale evapotranspiration estimation over a managed pine plantation in North Carolina, USA, using multisatellite data fusion - (Abstract Only)
Daily stand-scale evapotranspiration estimation over a managed pine plantation in North Carolina, USA, using multisatellite data fusion - (Abstract Only)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P., Noormets, A., Wynne, R., Thomas, V., Ge, S. 2015. Daily stand-scale evapotranspiration estimation over a managed pine plantation in North Carolina, USA, using multisatellite data fusion. BARC Poster Day. 63.
A thermal-based remote sensing modelling system for estimating crop water use and stress from field to regional scales - (Proceedings)
Kustas, W.P., Anderson, M.C., Semmens, K.A., Hain, C., Cammalleri, C., Alfieri, J.G., Gao, F.N. 2016. A thermal-based remote sensing modelling system for estimating crop water use and stress from field to regional scales. Acta Horticulturae. (ISHS) 1112/71-80.
Multi-scale satellite assessment of water availability and agricultural drought: from field to global scales - (Abstract Only)
Anderson, M.C., Hain, C., Gao, F.N., Yang, Y., Kustas, W.P. 2015. Multi-scale satellite assessment of water availability and agricultural drought: from field to global scales. Meeting Abstract. 2015 [CD-Com].
Monitoring evapotranspiration, drought impacts and yield at field-to-continental scales using multi-platform satellite data - (Abstract Only)
Coupling of phenological information and synthetically generated time-series for crop types as indicator for vegetation coverage information - (Abstract Only)
Moller, M., Gerstmann, H., Gao, F.N., Forster, M., Thurkow, D. 2015. Coupling of phenological information and synthetically generated time-series for crop types as indicator for vegetation coverage information [abstract]. 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, July 22-24, 2015, Annecy, France.
Evaluating the temporal stability of synthetically generated time-series for crop types in central Germany - (Abstract Only)
Forster, M., Moller, M., Gao, F.N., Schmidt, T., Gartner, P., Kleinschmit, B. 2015. Evaluating the temporal stability of synthetically generated time-series for crop types in central Germany [abstract]. 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, July 22-24, 2015 – Annecy, France.
Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data Reprint Icon - (Peer Reviewed Journal)
Weng, Q., Fu, P., Gao, F.N. 2014. Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. Remote Sensing of Environment. 145:55-67.
Using multi-satellite data fusion to estimate daily high spatial resolution evapotranspiration over a forested site in North Carolina - (Abstract Only)
Yang, Y., Anderson, M.C., Semmens, K.A., Gao, F.N., Kustas, W.P., Hain, C., Schull, M.A., Noormets, A., Wynne, R. 2015. Using multi-satellite data fusion to estimate daily high spatial resolution evapotranspiration over a forested site in North Carolina.[abstract]. 2015 North American Carbon Program and Ameriflux joint meeting, Jan 26-30, 2015, Washington, DC.2015 CD-ROM..
Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003-2013 - (Peer Reviewed Journal)
Anderson, M.C., Zolin, C., Hain, C., Semmens, K.A., Yilmaz, M., Gao, F.N. 2015. Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003-2013. Journal of Hydrology. doi: 10.1016/j.jhydrol.2015.1001.1005.
Joint Leaf chlorophyll and leaf area index retrieval from Landsat data using a regularized model inversion system Reprint Icon - (Peer Reviewed Journal)
Houborg, R., Mccabe, M., Cescatti, A., Gao, F.N., Schull, M.A., Gitelson, A. 2015. Joint Leaf chlorophyll and leaf area index retrieval from Landsat data using a regularized model inversion system. Remote Sensing of Environment. 159:203-221.
Global albedo change and radiative cooling from anthropogenic land-cover change, 1700 to 2005 based on MODIS, land-use harmonization and radiative kernels Reprint Icon - (Peer Reviewed Journal)
Ghimire, B., Williams, C., Masek, J., Gao, F.N., Wang, Z., Schaaf, C., He, T. 2014. Global albedo change and radiative cooling from anthropogenic land-cover change, 1700 to 2005 based on MODIS, land-use harmonization and radiative kernels. Geophysical Research Letters. DOI: 10.1002/2014GL061671.
Generating multi-scale albedo look-up maps using MODIS BRDF/Albedo products and landsat imagery Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., He, T., Wang, Z., Ghimire, B., Shuai, Y., Masek, J., Schaaf, C., Williams, C. 2014. Generating multi-scale albedo look-up maps using MODIS BRDF/Albedo products and landsat imagery. Geoscience and Remote Sensing Letters. 8(1) 083532 DOI: 10.1117/1.JRS.8.083532
Monitoring crop phenology and growth stages from space: opportunities and challenges - (Abstract Only)
Gao, F.N., Anderson, M.C., Mladenova, I., Kustas, W.P., Alfieri, J.G. 2014. Monitoring crop phenology and growth stages from space: opportunities and challenges [abstract]. American Geophysical Union. 2014 CDROM.
Multi-scale assessment of water availability and agricultural drought: from field to global scales - (Abstract Only)
Daily field-scale ET mapping using a data fusion approach - (Abstract Only)
An approach for the long-term 30-m land surface snow-free albedo retrieval from historic Landsat surface reflectance and MODIS-based a priori anisotropy knowledge Reprint Icon - (Peer Reviewed Journal)
Shuai, Y., Masek, J., Gao, F.N., Schaaf, C., Tao, H. 2014. An approach for the long-term 30-m land surface snow-free albedo retrieval from historic Landsat surface reflectance and MODIS-based a priori anisotropy knowledge. Remote Sensing of Environment. 152:467-479.
Estimation of crop gross primary production (GPP): fAPAR_chl versus MOD15A2 FPAR Reprint Icon - (Peer Reviewed Journal)
Houborg, R., McCabe, M., Cescatti, A., Gao, F.N., Schull, M.A., Gitelson, A. 2015. Joint Leaf chlorophyll and leaf area index retrieval from Landsat data using a regularized model inversion system. Remote Sensing of Environment. 159:203-221.
Application of thermal-based two-source energy balance model for estimating vineyard evapotranspiration at field and regional scales - (Abstract Only)
Kustas, W.P., Anderson, M.C., Semmens, K.A., Prueger, J.H., Mckee, L.G., Alfieri, J.G., Xia, T., Gao, F.N., Hain, C., Geli, H., Sanchez, L., Mendez-Costabel, M. 2014. Application of thermal-based two-source energy balance model for estimating vineyard evapotranspiration at field and regional scales [abstract]. 4th International Symposium: Recent Advances in Quantitative Remote Sensing Program and Abstract Book. p. 106.
Mapping daily water use and vegetation stress at field to global scales using multi-satellite thermal infrared imagery - (Abstract Only)
Anderson, M.C., Hain, C., Gao, F.N., Semmens, K.A., Kustas, W.P., Schull, M.A., Yang, Y. 2014. Mapping daily water use and vegetation stress at field to global scales using multi-satellite thermal infrared imagery [abstract]. Evapotranspiration Seminar, Alameda del Obispo, Cordoba, Spain.
Using daily field-scale evapotranspiration (ET) derived with multi-sensor data fusion for monitoring crop condition and yield in central Iowa, United States - (Abstract Only)
Semmens, K.A., Anderson, M.C., Gao, F.N., Kustas, W.P., Mladenova, I., Hain, C., Johnson, D., Otkin, J., Prueger, J.H. 2014. Using daily field-scale evapotranspiration (ET) derived with multi-sensor data fusion for monitoring crop condition and yield in central Iowa, United States [abstract]. 4th International Symposium on Recent Advances in Quantitative Remote Sensing, September 22-26, 2014, Torrent (Valencia), Spain.
Data fusion techniques for mapping daily water use and vegetation stress at field scales - (Abstract Only)
Anderson, M.C., Cammalleri, C., Semmens, K.A., Gao, F.N., Hain, C., Kustas, W.P. 2014. Data fusion techniques for mapping daily water use and vegetation stress at field scales [abstract]. 4th International Symposium on Recent Advances in Quantitative Remote Sensing, September 22-26, 2014, Torrent (Valencia), Spain.
The unique value of landsurface temperature for mapping evapotranspiration and drought - (Abstract Only)
Anderson, M.C., Hain, C., Semmens, K.A., Otkin, J., Cammalleri, C., Kustas, W.P., Gao, F.N. 2014. The unique value of landsurface temperature for mapping evapotranspiration and drought [abstract]. 31st Conference on Agricultural and Forest Meteorology.
Angular effects and correction on medium resolution sensors for crop monitoring Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., He, T., Masek, J., Shuai, Y., Schaaf, C., Wang, Z. 2014. Angular effects and correction on medium resolution sensors for crop monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99:1-10.
Monitoring water use and crop condition in California vineyards at multiple scales using multi-sensor satellite data fusion - (Abstract Only)
Semmens, K.A., Anderson, M.C., Gao, F.N., Kustas, W.P., Alfieri, J.G., Mckee, L.G., Prueger, J.H., Hain, C. 2014. Monitoring water use and crop condition in California vineyards at multiple scales using multi-sensor satellite data fusion [abstract]. 2014 BARC Poster Day, Beltsville, MD.
Validation of spatiotemporally dense springtime land surface phenology with intensive and upscale in situ Reprint Icon - (Peer Reviewed Journal)
Liang, L., Schwartz, M., Wang, Z., Gao, F.N., Schaaf, C., Tan, B., Morisette, J., Zhang, X. 2014. Validation of spatiotemporally dense springtime land surface phenology with intensive and upscale in situ. Remote Sensing of Environment. 52:7513-7526.
Landsat-8: science and product vision for terrestrial global change research Reprint Icon - (Peer Reviewed Journal)
Roy, D., Wulder, M., Loveland, T., Woodcock, C., Allen, R., Anderson, M.C., Helder, D., Irons, J., Johnson, D., Kennedy, R., Scambos, T., Schott, J., Sheng, Y., Vermote, E., Belward, A., Bindschadler, R., Cohen, W., Gao, F.N., Hipple, J., Hostert, P., Huntington, J., Justice, C., Kilic, A., Kovalskyy, V., Lee, Z., Lymburner, L., Masek, J., McCorkel, J., Shuai, Y., Trezza, R., Vogelmann, J., Wynne, R., Zhu, Z. 2014. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment. 145:154-172.
Estimating evapotranspiration in a rice field using a remote-sensing based two source energy balance model - (Abstract Only)
Han, K., Kustas, W.P., Anderson, M.C., Gao, F., Lee, K., Zhang, Y. 2014. Estimating evapotranspiration in a rice field using a remote-sensing based two source energy balance model [abstract]. American Geophysical Union, Fall Meeting Supplement. Abstract: H43G-1566.
A data mining approach for sharpening satellite thermal imagery over land - (Peer Reviewed Journal)
Gao, F.N., Kustas, W.P., Anderson, M.C. 2012. A data mining approach for sharpening satellite thermal imagery over land. Remote Sensing. 4:3287-3319.
Data fusion techniques for mapping daily water use and vegetation stress at field scales - (Abstract Only)
Anderson, M.C., Cammalleri, C., Gao, F.N., Wang, P., Hain, C., Yilmaz, M.T., Kustas, W.P. 2014. Data fusion techniques for mapping daily water use and vegetation stress at field scales [abstract]. 28th Conference on Hydrology at 94th American Meteorological Society Annual Meeting, February 2-6, 2014, Atlanta, GA.
Operational data fusion framework for building frequent Landsat-like imagery in a cloudy region Reprint Icon - (Peer Reviewed Journal)
Wang, P., Gao, F.N., Masek, J. 2014. Operational data fusion framework for building frequent Landsat-like imagery in a cloudy region. IEEE Transactions on Geoscience and Remote Sensing. 52(11):7353-7365.
Sharpening landsat 8 thermal imagery for field scale ET mapping - (Abstract Only)
Gao, F.N., Cammalleri, C.N., Wang, P., Kustas, W.P. 2013. Sharpening landsat 8 thermal imagery for field scale ET mapping. ASA-CSSA-SSSA Annual Meeting Abstracts. 2013 CD-ROM.
Mapping surface fluxes and moisture conditions from field to global scales using ALEXI/DisALEXI - ()
Anderson, M.C., Kustas, W.P., Hain, C., Cammalleri, C., Gao, F.N., Yilmaz, M.T., Mladenova, I., Otkin, J., Schull, M.A., Houborg, R. 2013. Mapping surface fluxes and moisture conditions from field to global scales using ALEXI/DisALEXI.In: Petropoulos, G. Remote Sensing of Energy Fluxes and Soil Moisture Content. Boca Raton, FL: CRC Press.
A thermal remote sensing modeling system for estimating evapotranspiration ovee complex landscapes - (Abstract Only)
Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion Reprint Icon - (Peer Reviewed Journal)
Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P. 2013. Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion. Agricultural and Forest Meteorology. 186:1-11.
Use of light-use efficiency and land-surface temperature as joint constraints in coupled water, energy and carbon flux retrievals - (Abstract Only)
Anderson, M.C., Schull, M.A., Norman, J.M., Kustas, W.P., Cammalleri, C.N., Gao, F.N., Houborg, R. 2013. Use of light-use efficiency and land-surface temperature as joint constraints in coupled water, energy and carbon flux retrievals [abstract]. 2013 Annual Meeting of the American Society of Agronomy, Nov 3-6 2013, Tampa FL.
A data fusion approach for mapping daily evapotranspiration at field scale - (Peer Reviewed Journal)
Cammalleri, C.N., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P. 2013. A data fusion approach for mapping daily evapotranspiration at field scale. Water Resources Research.
Use of in situ and airborne multiangle data to assess MODIS-and landsat-based estimates of directional reflectance and albedo Reprint Icon - (Peer Reviewed Journal)
Roman, M., Gatebe, C., Shuai, Y., Wang, Z., Gao, F.N., Masek, J., He, T., Schaaf, C. 2013. Use of in situ and airborne multiangle data to assess MODIS-and landsat-based estimates of directional reflectance and albedo. IEEE Transactions on Geoscience and Remote Sensing. 51(3):1393-1404.
Improved forest change detection with terrain illumination corrected landsat images Reprint Icon - (Peer Reviewed Journal)
Tan, B., Masek, J., Wolfe, R., Gao, F.N., Huang, C., Vermote, E., Sexton, J., Ederer, G. 2013. Improved forest change detection with terrain illumination corrected landsat images. Remote Sensing of Environment. 136:469-483.
Data fusion techniques for mapping daily water use at field scales - (Abstract Only)
Anderson, M.C., Gao, F.N., Hain, C., Schull, M.A., Kustas, W.P. 2013. Data fusion techniques for mapping daily water use at field scales [abstract]. 2013 Hyperspectral Infrared Imager Symposium Symposium, NASA/GSFC, May 29-30, 2013, Greenbelt, MD.
Integrating remote sensing data from multiple optical sensors for ecological and crop condition monitoring - (Abstract Only)
Gao, F.N., Wang, P., Masek, J. 2013. Integrating remote sensing data from multiple optical sensors for ecological and crop condition monitoring [abstract]. SPIE Optical Engineering and Applications. DOI: 10.1117/12.2023417.
Mapping land-surface fluxes of carbon, water and energy from field to regional scales - (Abstract Only)
Schull, M.A., Anderson, M.C., Kustas, W.P., Gao, F.N., Houborg, R. 2013. Mapping land-surface fluxes of carbon, water and energy from field to regional scales [abstract]. 2013 NASA Terrestrial Ecology Science Team Meeting, Scripps Seaside Forum, April 30 - May 2, 2013, La Jolla, CA.
Influence of angular effects on surface reflections for crops - (Abstract Only)
Gao, F.N., He, T., Masek, J. 2013. Influence of angular effects on surface reflections for crops [abstract]. Second International Conference on Agro-Geoinformatics 2013. DOI:10.1109/Argo-Geoinformatics.2013.6621925.
Monitoring crop and vegetation condition using the fused dense time-series landsat-like imagery - (Abstract Only)
Wang, P., Gao, F.N., Masek, J. 2013. Monitoring crop and vegetation condition using the fused dense time-series landsat-like imagery [abstract]. BARC Poster Day.
Global, long-term surface reflectance records from Landsat - (Peer Reviewed Journal)
Feng, M., Sexton, J., Huang, C., Masek, J., Vermote, E., Gao, F.N., Narasimhan, R., Channan, S., Wolfe, R., Townshend, J. 2013. Global, long-term surface reflectance records from Landsat. Remote Sensing of Environment. 134:276-293.
Retrieving leaf area index from landsat using MODIS LAI products and field measurements Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Kustas, W.P., Houborg, R. 2013. Retrieving leaf area index from landsat using MODIS LAI products and field measurements. Geoscience and Remote Sensing Letters. 11:773-777.
Greenland surface albedo changes 1981-2012 from satellite observations Reprint Icon - (Peer Reviewed Journal)
He, T., Liang, S., Yu, Y., Gao, F.N., Liu, Q. 2014. Greenland surface albedo changes 1981-2012 from satellite observations. Geophysical Research Letters. DOI:10.1088/1748-9326/8/4/044043.
Integrating landsat with MODIS products for vegetationn monitoring - ()
Monitoring vegetative land cover and water use using satellite imagery - (Abstract Only)
Gao, F.N., Anderson, M.C., Kustas, W.P., Crow, W.T. 2012. Monitoring vegetative land cover and water use using satellite imagery. Meeting Abstract. 2012 CDROM.
Monitoring NEON terrestrial sites phenology with daily MODIS BRDF/albedo product and landsat data - (Abstract Only)
Wang, Z., Schaaf, C., Strahler, A., Gao, F.N., Zhang, X., Yang, X., Shuai, Y., Kim, J., Morisette, J., Meier, C. 2013. Monitoring NEON terrestrial sites phenology with daily MODIS BRDF/albedo product and landsat data[abstract]. 4th North American Carbon Program All-Investigators Meeting. 2013 CDROM.
Sharpening landsat thermal infrared imagery for mapping evapotranspiration at field scale - (Abstract Only)
Gao, F.N., Kustas, W.P., Anderson, M.C. 2012. Sharpening landsat thermal infrared imagery for mapping evapotranspiration at field scale[abstract]. 2012 Western States Remote Sensing of ET Workshop. 2012 CDROM.
Exploring the use of multi-sensor data fusion for daily evapotranspiration mapping at field scale - (Abstract Only)
Cammalleri, C.N., Anderson, M.C., Gao, F.N., Kustas, W.P. 2012. Exploring the use of multi-sensor data fusion for daily evapotranspiration mapping at field scale [abstract]. Western States Evapotranspiration (ET) Workshop - Using Remote Sensing of ET to Reduce Costs and Improve Efficiency in Resource Management, October 24-25, 2012, Boise, ID.
Use of remotely sensed evapotranspiration maps for monitoring drought impacts at field to continental scales - (Abstract Only)
Anderson, M.C., Hain, C., Otkin, J., Cammalleri, C.N., Gao, F.N. 2012. Use of remotely sensed evapotranspiration maps for monitoring drought impacts at field to continental scales[abstract]. National Oceanic and Aeronautic Administration's 37th Climate Diagnostics and Prediction Workshop. 2012 CDROM.
Global characterization and monitoring of forest cover using Landsat data: opportunities and challanges - (Peer Reviewed Journal)
Townshend, J., Masek, J., Huang, C., Vermonte, E., Gao, F.N., Channan, C., Sexton, J., Fenng, M., Narasimhan, R., Kim, D., Song, K., Song, D., Song, X. 2012. Global characterization and monitoring of forest cover using Landsat data: opportunities and challanges. International Journal of Digital Earth. DOI: 10.1080/17538947.2012.713190.
A thermal-based remote sensing modeling system for estimating water use of irrigated crops - (Abstract Only)
Kustas, W.P., Anderson, M.C., Gao, F.N. 2012. A thermal-based remote sensing modeling system for estimating water use of irrigated crops [abstract]. Agricultural Engineering and Agronomy, University of Naples.
An integrated approach for high spatial resolution mapping of water and carbon fluxes using multi-sensor data - (Abstract Only)
Cammalleri, C.N., Anderson, M.C., Houborg, R., Gao, F.N., Kustas, W.P., Schull, M.A. 2012. An integrated approach for high spatial resolution mapping of water and carbon fluxes using multi-sensor data [abstract]. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE) 2012 Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology, July 22-27, 2012, Munich, Germany.
A multi-sensor methodology for mapping daily evapotranspiration at high resolution - (Abstract Only)
Cammalleri, C.N., Kustas, W.P., Anderson, M.C., Gao, F.N., Evett, S.R. 2012. A multi-sensor methodology for mapping daily evapotranspiration at high resolution [abstract]. 2012 Annual Meeting of the American Society of Agromony, Crop Science Society of America, and Soil Science Society of America. 2012 CDROM.
Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign - (Peer Reviewed Journal)
Anderson, M.C., Kustas, W.P., Alfieri, J.G., Gao, F.N., Hain, C., Prueger, J.H., Evett, S.R., Colaizzi, P.D., Howell, T.A., Chavez, J. 2012. Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign. Advances in Water Resources. 50:162-177.
A simple method for retrieving leaf area index from landsat using MODIS LAI products as reference - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Kustas, W.P., Wang, Y. 2012. A simple method for retrieving leaf area index from landsat using MODIS LAI products as reference. Journal of Applied Remote Sensing (JARS). 6(1):063554.
Generating high temporal and spatial resolution thermal band imagery using robust sharpening approach - (Abstract Only)
Gao, F.N., Anderson, M.C., Kustas, W.P. 2012. Generating high temporal and spatial resolution thermal band imagery using robust sharpening approach [abstract]. The First International Conference on Agro-Geoinformatics. 2012 CDROM.
A multi-sensor approach to retrieving high resolution daily evapotranspiration maps - (Abstract Only)
Cammalleri, C.N., Anderson, M.C., Gao, F.N., Schull, M.A., Houborg, R., Kustas, W.P. 2012. A multi-sensor approach to retrieving high resolution daily evapotranspiration maps [abstract]. Hyperspectral Infrared Imager Symposium, May 16-17, 2012, NASA Goddard Space Flight Center, Greenbelt, MD.
Using satellites to provide reliable daily water use estimates at field scales - (Abstract Only)
Cammalleri, C.N., Anderson, M.C., Gao, F.N., Houborg, R., Schull, M.A., Kustas, W.P. 2012. Using satellites to provide reliable daily water use estimates at field scales [abstract]. Moderate Resolution Imaging Spectroradiometer Science Team Meeting, May 7-9, 2012, Silver Spring, MD.
A thermal remote sensing modeling system for estimating evapotranspiration over complex landscapes - (Abstract Only)
Mapping impervious surface expansion using medium resolution satellite image time series: A case study in Yangtze river delta, China - (Peer Reviewed Journal)
Gao, F.N., Eric, B.U., Ma, R., Weng, Q., Masek, J.G., Chen, J., Pan, Y., Song, C. 2012. Mapping impervious surface expansion using medium resolution satellite image time series: A case study in Yangtze river delta, China. International Journal of Remote Sensing. 33:7609-7628.
Generating 30-m land surface albedo by integrating landsat and MODIS data for understanding the disturbance - (Abstract Only)
Shuai, Y., Masek, J., Gao, F.N., Schaaf, C., Williams, C. 2012. Generating 30-m land surface albedo by integrating landsat and MODIS data for understanding the disturbance. Meeting Abstract. 2012 CDROM.
Using satellites to provide reliable daily water use estimates at field scales - (Abstract Only)
Cammalleri, C.N., Anderson, M.C., Gao, F.N., Kustas, W.P. 2012. Using satellites to provide reliable daily water use estimates at field scales [abstract}. BARC Poster Day. Poster No. 10.
Integrating multiple satellite data for crop monitoring - (Abstract Only)
Gao, F.N., Anderson, M.C., Kustas, W.P. 2012. Integrating multiple satellite data for crop monitoring. BARC Poster Day. 2012 CDROM.
Estimating leaf area index from Landsat using MODIS LAI products and field measurements as reference - (Abstract Only)
Gao, F.N., Anderson, M.C., Houborg, R., Kustas, W.P. 2012. Estimating leaf area index from Landsat using MODIS LAI products and field measurements as reference[abstract]. IEEE Geoscience and Remote Sensing Symposium. 2012 CDROM.
Generating 30-m land surface albedo by integrating landsat and MODIS data for understanding the disturbance evolution - (Abstract Only)
Shuai, Y., Masek, J., Gao, F.N., Schaaf, C., Williams, C. 2012. Generating 30-m land surface albedo by integrating landsat and MODIS data for understanding the disturbance evolution[abstract]. IEEE Geoscience and Remote Sensing Symposium. 2012 CDROM.
An enhanced neighborhood similar pixel interpolator approach for removing thick clouds in landsat images - (Peer Reviewed Journal)
Zhu, X., Gao, F.N., Liu, D., Chen, J. 2012. An enhanced neighborhood similar pixel interpolator approach for removing thick clouds in landsat images. Geoscience and Remote Sensing Letters. 9(3):521-525.
The factors influencing seasonal variations in evaporative fluxes from spatially distributed Agro-Ecosystems - (Abstract Only)
Alfieri, J.G., Kustas, W.P., Gao, F.N., Prueger, J.H., Baker, J.M., Hatfield, J.L. 2012. The factors influencing seasonal variations in evaporative fluxes from spatially distributed Agro-Ecosystems [abstract]. Chapman Conference on Remote Sensing of the Terrestrial Water Cycle. 2012 CDROM.
Utility of thermal remote sensing for determining evapotranspiration - (Abstract Only)
Kustas, W.P., Anderson, M.C., Hain, C., Gao, F.N., Micikalski, J. 2012. Utility of thermal remote sensing for determining evapotranspiration [abstract]. Chapman Conference on Remote Sensing of the Terrestrial Water Cycle. p. 86.
A satellite-based drought product using thermal remote sensing of evapotranspiration - (Abstract Only)
Anderson, M.C., Hain, C., Kustas, W.P., Mecikalski, J., Gao, F.N. 2011. A satellite-based drought product using thermal remote sensing of evapotranspiration [abstract]. American Geophysical Union 2012 Chapman Conference on Remote Sensing of the Terrestrial Water Cycle. 2012 CDROM.
Evaluation of landsat and MODIS data fusion products for analysis of dryland forest phenology - (Peer Reviewed Journal)
Walker, J., Beurs, K.M., Wynne, R.H., Gao, F.N. 2012. Evaluation of landsat and MODIS data fusion products for analysis of dryland forest phenology. Remote Sensing of Environment. 117:381-393.
Application of remote sensing for multi-scale monitoring of evapotranspiration - (Abstract Only)
Kustas, W.P., Anderson, M.C., Gao, F.N. 2011. Application of remote sensing for multi-scale monitoring of evapotranspiration [abstract]. Hyperspectral Infrared Imager Decadal Survey Mission Science Workshop. http://hyspiri.jpl.nasa.gov/documents/2011-workshop.
Developing consistent time series landsat data products - (Abstract Only)
Gao, F.N. 2011. Developing consistent time series landsat data products [abstract]. Landsat Science Team Meeting. 2011 CDROM.