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Feng Gao

Research Physical Scientist


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Feng Gao, Ph.D.
Research Physical Scientist
USDA-ARS Hydrology and Remote Sensing Laboratory
Bldg. 007, Rm. 104, BARC-West
Beltsville, MD 20705-2350 USA
Voice: (301) 504-6576
Fax: (301) 504-8931
Feng.Gao@ars.usda.gov


Research Interests: (click here to see a list of current research projects)


Education:


Professional Experience:


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Honors and Awards:


Selected Publications: (please contact the author to determine reprint availability)

(view author's publications/interpretive summaries/technical abstracts since 2011)

Gao, F., Anderson, M., Zhang, X., Yang, Z., Alfieri, J., Kustas, B., Mueller, R., Johnson, D. and Prueger, J. Mapping crop progress at field scales using Landsat and MODIS imagery. Remote Sensing of Environment. 188:9-25. doi: 10.1016/j.rse.2016.11.004. 2017.

Gervais, N., Buyantuev, A., and Gao, F.  Modeling the effects of the urban built-up environment on plant phenology using fused satellite data. Remote Sensing. doi: doi:10.3390/rs9010099. 2017.

Houborg, R., Mccabe, M. and Gao, F. A Spatio-Temporal Enhancement Method for medium resolution LAI(STEM-LAI). International Journal of Applied Earth Observation and Geoinformation. 47:15-29. doi: 10.1016/j.jag.2015.11.013. 2016.

Yang, G., Weng, Q., Pu, R., Gao, F., Sun, C., Li H., Zhao, C. Evaluation of ESTARFM based algorithm for generating land surface temperature products by fusing ASTER and MODIS data during the HiWATER-MUSOEXE. Remote Sensing. 8(1). doi:10.3390/rs8010075. 2016.

Semmens, K., Anderson, M., Kustas, W., Gao, F., Alfieri, J., Mckee, L., Prueger, J. H., Hain, C., Cammalleri, C., Yang, Y., Xia, T., Sanchez, L., Alsina, M. and Velez, M. Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach. Remote Sensing of Environment. 185:155-170. doi: 10.1016/j.rse.2015.10.025. 2016.

Sheng, Y., Song, C., Wang, J., Lyons, E., Knox, B., Cox, J. and Gao, F. Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery. Remote Sensing of Environment. 185:129-141. doi: 10.1016/j.rse.2015.12.041. 2016. 

Zhu, X., Helmer, E., Gao, F., Liu, D., Chen, J. and Lefsky, M. A flexible spatiotemporal method for fusing satellite images with different resolutions. Remote Sensing of Environment. 172:165-177. doi: 10.1016/j.rse.2015.11.016. 2016.

Xia, T., Kustas, W. P., Anderson, M. C., Alfieri, J. G., Gao, F., McKee, L., Prueger, J. H., Geli, H. M. E., Neale, C. M. U., Sanchez, L., Mar Alsina, M., and Wang, Z. Mapping evapotranspiration with high resolution aircraft imagery over vineyards using one and two source modeling schemes, Hydrology and Earth System Sciences Discuss. 20:1523-1545. doi:10.5194/hess-20-1523-2016, 2016.

Gao, F., Hilker, T., Zhu, X., Anderson, M. A., Masek, J., Wang, P. and Yang, Y. Fusing Landsat and MODIS data for vegetation monitoring, IEEE Geoscience and Remote Sensing Magazine. 3(3): 47-60. doi: 10.1109/MGRS.2015.2434351. 2015.

Houborg, R., McCabe, M., Cescatti, A., Gao, F., Schull, M.A. and Gitelson, A. Joint leaf chlorophyll and leaf area index retrieval from Landsat data using a regularized model inversion system. Remote Sensing of Environment. 159:203-221. doi:10.1016/j.rse.2014.12.008. 2015.

Anderson, M. C., Zolin, C., Hain, C., Semmens, K., Yilmaz, M. T. and Gao, F. Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003-2013. Journal of Hydrology. 526:287-302. doi:10.1016/j.jhydrol.2015.01.005. 2015.

Gao, F., He, T., Wang, Z., Ghimire, B., Shuai, Y., Masek, J., Schaaf, C. and Williams, C. Multi-scale climatological albedo look-up maps derived from MODIS BRDF/albedo products. Journal of Applied Remote Sensing. doi:10.1117/1.JRS.8.083532. 2014.

Gao, F., He, T., Masek, J., Shuai, Y. Schaaf, C. and Wang, Z. Angular effects and correction for medium resolution sensors to support crop monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(11):4480-4489. doi: 10.1109/JSTARS.2014.2343592. 2014.

Weng, Q., Fu, P. and Gao, F. Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. Remote Sensing of Environment. 145:55-67. doi:10.1016/j.rse.2014.02.003. 2014

Ghimire, B., Williams, C., Masek, J., Gao, F., Wang,Z., Schaaf, C. and He, T. 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. 41(24):9087–9096. doi:10.1002/2014GL061671. 2014.

Shuai, Y., Masek, J., Gao, F., Schaaf, C. and Tao, H. 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. doi:10.1016/j.rse.2014.07.009. 2014.

Zhang, Q., Cheng, Y., Lyapustin, A., Wang, Y., Gao, F., Suyker, A., Verman, S. and Middleton, E.M. Estimation of crop gross primary production (GPP): fAPAR_chl versus MOD15A2 FPAR. Remote Sensing of Environment. 153:1-6. doi:10.1016/j.rse.2014.07.012. 2014.

Roy, D., Wulder, M., Loveland, T., Woodcock, C., Allen, R.G., Anderson, M.C., Helder, D., Irons, J., Johnson, D., Kennedy, R., Scambos, T., Schott, J., Sheng, Y., Vermote, Eric, Belward, A., Bindschadler, R., Cohen, Warren, Gao, F., Hipple, J., Hostert, P., Huntington, J., Justice, C., Kilic, A., Kovalskyy, V. and Lee, Z. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment. 145:154-172. doi:10.1016/j.rse.2014.02.001. 2014.

Wang, P., Gao, F. and Masek, J. Operational data fusion framework for building frequent Landsat-like images in cloudy regions. IEEE Transactions on Geoscience and Remote Sensing. 52(11):7353-7365. doi: 10.1109/TGRS.2014.2311445. 2014.

Liang, L., Schwartz, M., Wang, Z., Gao, F., Schaaf, C., Tan, B., Morisette, J. and Zhang, X. A cross comparison of spatiotemporally enhanced springtime phenological measurements from satellites and ground in a northern U.S. mixed forest. IEEE Transactions on Geoscience and Remote Sensing. 52(12): 7513-7526. doi: 10.1109/TGRS.2014.2313558. 2014.

Cammalleri, C., Anderson, M. C., Gao, F., Hain, C. R. and Kustas, W. P. Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion. Agricultural and Forest Meteorology. 186:1-11. doi: 10.1016/j.agrformet.2013.11.001. 2014.

Gao, F., Anderson, M.C., Kustas, W.P. and Houborg, R. Retrieving leaf area index from Landsat using MODIS LAI products and field measurements. IEEE Geoscience and Remote Sensing Letters. 11:773-777, doi: 10.1109/LGRS.2013.2278782. 2013.

He, T., Liang, S., Yu, Y., Gao, F. and Liu, Q. Greenland surface albedo changes in July 1981-2012 from satellite observations. Environmental Research Letters, doi:10.1088/1748-9326/8/4/044043. 2013.

Cammalleri, C., Anderson, M. C., Gao, F., Hain, C. R. and Kustas W. P.  A data fusion approach for mapping daily evapotranspiration at field scale. Water Resources Research. 49:4672-4686, doi:10.1002/wrcr.20349. 2013.

Roman, M., Gatebe, C., Shuai, Y., Wang, Z., Gao, F., Masek, J., He, T., Liang, S. and Schaaf, C. 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, doi: 10.1109/TGRS.2013.2243457. 2013.

Tan, B., Masek, J., Wolfe, R., Gao, F., Huang, C., Vermote, E., Sexton, J. and Ederer, G. Improved forest change detection with terrain illumination corrected Landsat images. Remote Sensing of Environment. 136:469-483, doi: 10.1016/j.rse.2013.05.013. 2013.

Feng, M., Sexton, J., Huang, C., Masek, J., Vermote, E., Gao, F., Narasimhan, R., Channan, S., Wolfe, R. and Townshend, J. Global surface reflectance products from Landsat: Assessment using coincident MODIS observations. Remote Sensing of Environment. 134:276-293, doi:10.1016/j.rse.2013.02.031. 2013.

Townshend, J., Masek, J., Huang, C., Vermote, E., Gao, F., Channan, S., Sexton, J., Feng, M. Narasimhan, R., Kim, D., Song, K., Song, D., Song, X., Noojipady, P., Tan, B., Hansen, M., Li, M. and Wolfe, R. Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges. International Journal of Digital Earth. 5(5):373-397, doi:10.1080/17538947.2012.713190. 2012.

Gao, F., Anderson, M. C., Kustas, W. P. and Wang, Y. Simple method for retrieving leaf area index from Landsat using MODIS LAI products as reference. Journal of Applied Remote Sensing. 6, 063554. doi:10.1117/1.JRS.6.063554. 2012.

Gao, F., Kustas, W.P. and Anderson M.C. A Data Mining Approach for Sharpening Satellite Thermal Imagery over Land. Remote Sensing. 4(11):3287-3319, doi:10.3390/rs4113287. 2012.

Anderson, M. C., Kustas, W. P., Alfieri, J. G., Gao, F., Hain, C., Prueger, J. H., Evett, S. R., Colaizzi, P. D., Howell, T. A. and Chaves, J. L. Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign. Advances in Water Resources, 50:162-177, doi:10.1016/j.advwatres.2012.06.005. 2012.

Walker, J., Beurs, K. M., Wynne, R. H., and Gao, F. Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology, Remote Sensing of Environment. 117:381-393, doi:10.1016/j.rse.2011.10.014. 2012.

Zhu, X., Gao, F., Liu, D. and Chen, J. A modified neighborhood similar pixel interpolator approach for removing thick clouds in Landsat images. IEEE Geoscience and Remote Sensing Letters. 9(3):521-525, doi: 10.1109/LGRS.2011.2173290. 2012

Gao, F., Colstoun, E., Ma, R., Weng, Q., Masek, J., Chen, J., Pan, Y. and Song, C. 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(24):7609-7628, doi:10.1080/01431161.2012.700424. 2012.

Ganguly, S., Nemani, R., Zhang, G., Hashimoto, H., Milesi, C., Michaelis, A., Wang, W., Votava, P., Samanta, A., Melton, F., Dungan, J., Vermote, E., Gao, F., Knyazikhin, Y. and Myneni, R. Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration. Remote Sensing of Environment. 122:185-202, doi:10.1016/j.rse.2011.10.032. 2012.

Liu, S., Ding, W., Gao F., and Stepinski T. F. Adaptive selective learning for automatic identification of sub-kilometer craters. Neurocomputing, 92:78-87, doi:10.1016/j.neucom.2011.11.023. 2012.

Shuai, Y., Masek, J. G., Gao, F. and Schaaf, C. B. An algorithm for the retrieval of 30-m snow-free albedo from Landsat surface reflectance and MODIS BRDF. Remote Sensing of Environment. 115(9):2204-2216.  doi:10.1016/j.rse.2011.04.019. 2011.

Chen, J., Zhu, X., Vogelmann, J. E., Gao, F. and Jin, S. A simple and effective method for filling gaps in Landsat ETM+ SLC-off images. Remote Sensing of Environment. 115(4): 1053-1064.  doi:10.1016/j.rse.2010.12.010. 2011.

Zhu, X., Chen, J., Gao, F., Chen, X. and Masek, J. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions, Remote Sensing of Environment. 114: 2610-2623. doi:10.1016/j.rse.2010.05.032. 2010.

Tan, B., Morisette, J. T., Wolfe, R. E., Gao, F., Ederer, G. A., Nightingale, J. and Pedelty, J. A. An Enhanced TIMESAT algorithm for estimating vegetation phenology metrics from MODIS data. IEEE Journal of Selected Topics in Earth Observations and Remote Sensing. doi:10.1109/JSTARS.2010.2075916. 2010.

Anderson, M., Kustas, W. P., Norman, J. M., Hain, C. R., Mecikalski, J. R., Schultz, L., Gonzalez-Dugo, M. P., Cammalleri, C., d’Urso, G., Pimstein, A. and Gao, F. Mapping daily evapotranspiration at field to global scales using geostationary and polar orbiting satellite imagery. Hydrology and Earth System Sciences Discussion. 7:1-34, doi:10.5194/hessd-7-1-2010. 2010.

Gao, F., Masek, J., Wolfe, R. and Huang, C. Building consistent medium resolution satellite data set using moderate resolution imaging spectroradiometer products as reference, Journal of Applied Remote Sensing. 4, 043526. doi:10.1117/1.3430002. 2010.

Román M., Schaaf, C., Lewis, P., Gao, F., Anderson, G. P., Privette, J., Strahler, A. H., Woodcock, C. and Barnsley, M. Assessing the coupling between surface albedo derived from MODIS and the fraction of diffuse skylight over spatially-characterized landscapes. Remote Sensing of Environment. 114:738-760. doi: 10.1016/j.rse.2009.11.014. 2010.

Huang, C., Goward, S. N., Masek, J. G., Gao, F., Vermote, E. F., Thomas, N., Schleeweis, K., Kennedy, R. E., Zhu, Z., Eidenshink, J. C. and Townshend, J. R. G. Development of time series stacks of Landsat images for reconstructing forest disturbance history. International Journal of Digital Earth. doi:10.1080/17538940902801614. 2009.

Gao, F., Masek, J. and Wolfe, R. An automated registration and orthorectification package for Landsat and Landsat-like data processing, Journal of Applied Remote Sensing. doi:10.1117/1.3104620. 2009.

Hilker, T., Wulder, M. A., Coops, N. C., Seitz, N., White, J. C., Gao, F., Masek, J. G. and Stenhouse, G. Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model. Remote Sensing of Environment.  113(9):1988-1999. doi:10.1016/j.rse.2009.05.011. 2009.

Hilker, T., Wulder, M. A., Coops, N. C., Linke, J., McDermid, G., Masek, J. G., Gao, F. and White, J. C. A new data fusion model for high spatial- and temporal- resolution mapping of forest disturbance based on Landsat and MODIS. Remote Sensing of Environment. 113:1613-1627. doi:10.1016/j.rse.2009.03.007. 2009.

Nightingale, J., Morisette, J., Wolfe, R., Tan, B., Gao, F., Ederer, G., Collatz, J. and Turner, D. Temporally smoothed and gap-filled MODIS land products for carbon modeling: application of the FPAR product. International Journal of Remote Sensing Research Letter. 30 (4):1083-1090. doi: 10.1080/01431160802398064. 2008.

Roy D. P., Ju, J., Lewis, P., Choate, M. J., Schaaf, C., Gao, F., Hansen, M. and Lindquist, E. Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data. Remote Sensing of Environment. 112:3112-3130. doi: 10.1016/j.rse.2008.03.009. 2008.

Gao, F., Morisette, J. T., Wolfe, R. E., Ederer, G., Pedelty, J., Masuoka, Ed., Myneni, R., Tan B. and Nightingale, J. An algorithm to produce temporally and spatially continuous MODIS LAI time series, IEEE Geoscience and Remote Sensing Letters. 5 (1):60-64. doi: 10.1109/LGRS.2007.907971. 2008.

Gao, F., Masek, J., Schwaller M. and Hall, F. On the blending of the Landsat and MODIS surface reflectance: predict daily Landsat surface reflectance. IEEE Transactions on Geoscience and Remote Sensing. 44 (8): 2207-2218. doi: 10.1109/TGRS.2006.872081. 2006.

Tsvetsinskaya, E. A., Schaaf, C. B., Gao, F., Strahler, A. H. and Dickinson, R. E. Spatial and temporal variability in Moderate Resolution Imaging Spectroradiometer-derived surface albedo over global arid regions. J. Geophys. Res. 111 (D20106). doi:10.1029/2005JD006772. 2006.

Salomon, J. G., Schaaf, C. B., Strahler, A. H., Gao, F. and Jin, Y. Validation of the MODIS bidirectional reflectance distribution function and albedo retrievals using combined observations from the Aqua and Terra platforms. IEEE Transactions on Geoscience and Remote Sensing. 44 (6): 1555-1565. doi: 10.1109/TGRS.2006.871564. 2006.

Masek, J. G., Vermote, E. F., Saleous, N. E., Wolfe, R., Hall, F. G., Huemmrich, F., Gao, F., Kutler, J. T. and Lim, T. K. A Landsat surface reflectance data set for North America. 1990-2000, IEEE Geoscience and Remote Sensing Letters. 3 (1):69-72. doi: 10.1109/LGRS.2005.857030. 2006.

Gao, F., Schaaf, C. B., Strahler, A. H., Roesch, A., Lucht, W. and Dickinson, R. MODIS bidirectional reflectance distribution function and albedo climate modeling grid products and the variability of albedo for major global vegetation types. Journal of Geophysical Research. 110 (D01104). doi:10.1029/2004JD005190. 2005.

Moody, E. G., King, M. D., Platnick, S. P., Schaaf, C. B. and Gao, F. Spatially complete global spectral surface albedos: value-added datasets derived from Terra MODIS land products. IEEE Transactions on Geoscience and Remote Sensing. 43 (1):144-158. doi:10.1109/TGRS.2004.838359. 2005.

Stroeve, J., Box, J. E., Gao, F., Liang, S., Nolin A. and Schaaf, C. B. Accuracy assessment of the MODIS 16-day albedo product for snow: comparisons with Greenland in situ measurements. Remote Sensing of Environment. 94:46-60. doi: doi:10.1016/j.rse.2004.09.001. 2005.

Liang, X.-Z., Xu, M., Gao, W., Kunkel, K., Slusser, J., Dai, Y., Min, Q., Houser, P. R., Rodell, M., Schaaf C. B. and Gao, F. Development of land surface albedo parameterization based on Moderate Resolution Imaging Spectroradiometer (MODIS) data. Journal of Geophysical Research. 110 (D11107). doi:10.1029/2004JD005579. 2005.

Roesch, A., Schaaf C. B. and Gao, F. Use of Moderate-Resolution Imaging Spectroradiometer bidirectional reflectance distribution function products to enhance simulated surface albedos. Journal of Geophysical Research. 109 (D12). doi:10.1029/2004JD004552. 2004.

Tian, Y., Dickinson, R. E., Zhou, L., Myneni, R. B., Friedl, M., Schaaf, C. B., Carroll, M. and Gao, F. Land boundary conditions from MODIS data and consequences for the albedo of a climate model. Geophysical Research Letters. 31. doi:10.1029/2003GL019104. 2004.

Wang, Z., Zeng, X., Barlage, M., Dickinson, R. E., Gao, F. and Schaaf, C. B. Using MODIS BRDF/albedo data to evaluate global model land surface albedo. Journal of Hydrometeorology. 5:3-14. doi: 10.1175/1525-7541. 2004.

Gao, F., Schaaf, C. B., Li, X., Jin, Y. and Strahler, A. H. Detecting vegetation structure using a kernel-based BRDF model. Remote Sensing of Environment. 86:198-205. doi: 10.1016/S0034-4257(03)00100-7. 2003.

Zhou, L., Dickinson, R. E., Tian, Y., Zeng, X., Dai, Y., Yang, Z., Schaaf, C. B., Gao, F., Jin, Y., Strahler, A., Myneni, R. B., Yu, H., Wu, W. and Shaikh, M. Comparison of seasonal and spatial variations of albedo from MODIS and common land model. Journal of Geophysical Research. 108 (D15). doi:10.1029/2002JD003326. 2003.

Oleson, K. W., Bonan, G. B., Schaaf, C. B., Gao, F., Jin, Y. and Strahler, A. H. Assessment of global climate model land surface albedo using MODIS data. Geophysical Research Letters. 30 (8). doi:10.1029/2002GL016749. 2003.

Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C. F., Gao, F. and Reed, B. C. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment. 84 (3):471-475. doi: 10.1016/S0034-4257(02)00135-9. 2003.

Jin, Y., Schaaf, C. B., Gao, F., Li, X., Strahler, A. H., Lucht, W. and Liang, S. Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 1. Algorithm performance. Journal of Geophysical Research. 108 (D5). doi:10.1029/2002JD002803. 2003.

Jin, Y., Schaaf, C. B., Woodcock, C. E., Gao, F., Li, X., Strahler, A. H., Lucht, W. and Liang, S. Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation. Journal of Geophysical Research. 108 (D5). doi:10.1029/2002JD002804. 2003.

Gao, F., Jin, Y., Li, X., Schaaf, C. B. and Strahler, A. H. Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy, IEEE Transactions on Geoscience and Remote Sensing. 40 (6):1269-1278. doi: 10.1109/TGRS.2002.800241. 2002.

Jin, Y., Gao, F., Schaaf, C. B., Li, X., Strahler, A. H., Bruegge, C. and Martonchik, J. Improving MODIS surface BRDF/Albedo retrieval with MISR multiangle observations. IEEE Transactions on Geoscience and Remote Sensing. 40 (7): 1593-1604. doi: 10.1109/TGRS.2002.801145. 2002.

Schaaf, B. C., Gao, F., Strahler, A. H., Lucht, W., Li, X. and Tsang T. First operational BRDF, albedo and nadir reflectance products from MODIS. Remote Sensing of Environment. 83:135-148. doi: 10.1016/S0034-4257(02)00091-3.2002.

Friedl, M. A., McIver, D. K., Hodges, J. C. F., Zhang, X., Muchoney, D., Strahler, A. H., Woodcock, C. E., Gopal, S., Schnieder, A., Cooper, A., Baccini, A., Gao, F. and Schaaf, C. B. Global land cover from MODIS: Algorithms and early results, Remote Sensing of Environment, 83:135-148. doi: 10.1016/S0034-4257(02)00078-0. 2002.

Jin, Y., Schaaf, C. B., Gao, F., Li, X., Strahler, A. H., Zeng, X. and Dickinson, R. E. How does snow impact the albedo of vegetated land surfaces as analyzed with MODIS data?. Geophysical Research Letters. 29 (10). doi:10.1029/2001GL014132. 2002.

Tsvetsinskaya, E., Schaaf, C. B., Gao, F., Strahler, A. H., Dickinson, R. E., Zeng, X. and Lucht, W. Relating MODIS derived surface albedo to soils and landforms over Northern Africa and the Arabian peninsula. Geophysical Research Letters. 29 (9). doi:10.1029/2001GL014096. 2002.

Gao, F., Schaaf, C. B., Strahler, A. H. and Lucht, W.  Using a multi-kernel least variance approach to retrieve and evaluate albedo from limited bi-directional measurements, Remote Sensing of Environment. 76:57-66. doi: 10.1016/S0034-4257(00)00192-9. 2001.

Li, X., Gao, F., Wang J. and Strahler, A. H. A priori knowledge accumulation and its application to constrain inversion of kernel-driven linear BRDF models. Journal of Geophysical Research. 106 (D11):11,925-11,936. doi: 10.1029/2000JD900639. 2001.

Gao, F., Li, X., Strahler, A. H. and Schaaf, C. B. Comparison and validation of the new Li-Transit kernel, Remote Sensing Reviews, 19:205-224. doi: 10.1080/02757250009532419. 2000.

Li, X., Gao, F., Wang, J. and Strahler, A. H. Estimation of the parameter error propagation in inversion based on BRDF observations at single sun position. Science in China (Series E), 43(supp):9-16. doi: 10.1007/BF02916573. 2000.

Friedl, M. A., Muchoney, D., McIver, D., Gao, F., Hodges, J. F. C. and Strahler, A. H. Characterization of North American land cover from NOAA-AVHRR data using the EOS MODIS land cover classification algorithm. Geophysical Research Letters. 27 (7):977-980. doi:10.1029/1999GL011010. 2000.

Kimes, D., Knjazikhin, Y., Privette, J., Abuelgasim, A. and Gao, F. Inversion methods for physically based models. Remote Sensing Review. 18 (2-4):381-439. doi: 10.1080/02757250009532396. 2000.


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