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United States Department of Agriculture

Agricultural Research Service

Research Project: Leveraging Remote Sensing, Land Surface Modeling and Ground-based Observations ... Variables within Heterogeneous Agricultural Landscapes

Location: Hydrology and Remote Sensing Laboratory

2012 Annual Report


1a. Objectives (from AD-416):
Objective 1: Develop and verify new observational tools (both remote sensing- and ground observation-based) and scaling techniques for characterizing water balance components, from plot (~10 m) to regional scales (~100 km). Objective 2: Develop remote sensing and modeling approaches for monitoring the magnitude of agricultural drought and its subsequent impact on agricultural crop condition and yield. Objective 3: Develop remote sensing and modeling approaches for characterizing the multi-scale impacts of conservation practices on water quality variables.


1b. Approach (from AD-416):
Ground measurements, remote sensing observations, and modeling each provide a partial description of hydrologic variables required at different spatial scales for agricultural applications. This project seeks to integrate these various sources of information into true multi-scale assessments and leverage their mutual strengths.


3. Progress Report:
Ground measurements, remote sensing observations, and modeling each provide a partial description of hydrologic variables required at different spatial scales for agricultural applications. This project seeks to integrate these various sources of information into true multi-scale assessments and leverage their mutual strengths. To reach this goal, required research topics include: developing improved observational methods that exploit advances in both ground and satellite measurement methodologies, combining remote sensing retrievals derived from multiple satellite sensors, linking local measurements acquired from ground-based instrumentation to large-scale areal averages, and using remote sensing and modeling to scale-up the impact of local management practices to the watershed scale. Work on year 1 project objectives begun only recently (in February 2012). Nevertheless good progress has been made on preliminary analysis and early data collection tasks required to meet later project milestones.


4. Accomplishments


Review Publications
Anderson, M.C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J., Kustas, W.P. 2012. A thermal-based evaporative stress index for monitoring surface moisture depletion. Remote Sensing. 145-167.

Crow, W.T., Van Den Berg, M.J., Huffman, G.J., Pellarin, T. 2011. Correcting rainfall using satellite-based surfae soil moisture retrievals: The soil moisture analysis rainfall tool(SMART). Water Resources Research. 47:W08521. DOI: 10.1029/2011WR010576.

Chen, F., Crow, W.T., Starks, P.J., Moriasi, D.N. 2011. Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Advances in Water Resources. 34:526-536.

Yost, R., McCarty, G.W., Doumbia, M. 2011. Loss on ignition: Measuring soil organic carbon in soils of the Sahel, West Africa. African Journal of Agricultural Research. 5(22):3088-3095.

Jackson, T.J., Bindlish, R., Cosh, M.H., Zhao, T., Starks, P.J., Bosch, D.D., Moran, M.S., Seyfried, M.S., Kerr, Y., Leroux, D., Goodrich, D.C. 2012. SMOS validation of soil moisture and ocen salinity (SMOS) soil moisture over watershed networks in the U.S. IEEE Transactions on Geoscience and Remote Sensing. 50:1530-1543.

Crow, W.T., Berg, A., Cosh, M.H., Loew, A., Mohanty, B., Panciera, R., De Rosnay, P., Ryu, D., Walker, J. 2012. Upscaling sparse ground-based soil moisture observations for the validation of satellite surface soil moisture products. Review of Geophysics. DOI: 10.1029/2011RG000372.

Mirrales, D., Crow, W.T., Cosh, M.H. 2010. A technique for estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. Journal of Hydrometeorology. 11:1423-1429.

Choi, M., Tae, W.K., Kustas, W.P. 2011. Reliable estimation of evapotranspiration on agricultural fields predicted by Priestley-Taylor model using soil moisture data from ground and remote sensing observations compared with Common Land Model. International Journal of Remote Sensing. 32(16):4571-4587.

Mladenova, I., Lakshmi, V., Jackson, T.J., Walker, J.P., Merlin, O., De Jeu, R.A. 2011. Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006 (NAFE'06). Remote Sensing of Environment. 115:2096-2103.

Hain, C.R., Crow, W.T., Mecikalski, J.R., Anderson, M.C., Holmes, T.R. 2011. An intercomparison of available soil moisture estimates from thermal-infrared and passive microwave remote sensing and land-surface modeling. Journal of Geophysical Research Atmospheres. 116:D15107.

Holmes, T.R., Jackson, T.J., Reichle, R., Basara, J. 2012. An assessment of numerical weather prediction (NWP) models surface soil temperature products using ground-based measurements. Water Resources Research. DOI: 10.1029/2011WR010538.

Brunsell, N., Anderson, M.C. 2011. Characterizing the multi–scale spatial structure of remotely sensed evapotranspiration with information theory. Biogeosciences. 8:2269-2280.

Tang, R., Jia, Y., Li, C., Sun, X., Kustas, W.P., Anderson, M.C. 2011. An intercomparison of three remote sensing-based energy balance models using large aperture scintillometer measurements over a wheat-corn production region. Remote Sensing of Environment. 115:3187-3202.

Kim, Y., Jackson, T.J., Bindlish, R., Lee, H., Hong, S. 2012. Radar vegetation indices for estimating the vegetation water content of rice and soybean. Geoscience and Remote Sensing Letters. 9:564-568.

Li, L., Gaiser, P.W., Gao, B.C., Bevilacqua, R.M., Jackson, T.J., Njoku, E.G., Rudiger, C., Calvet, J.C., Bindlish, R. 2010. WindSat global soil moisture retrieval and validation. IEEE Transactions on Geoscience and Remote Sensing. 48(5):2224-2241.

Narvekar, P., Heygster, G., Tonboe, R., Jackson, T.J. 2011. Analysis of windsat 3rd and 4th stokes components over Arct Sea ice. IEEE Transactions on Geoscience and Remote Sensing. 49:1627-1636.

Kurum, M., Lang, R.H., O'Neill, P.E., Joseph, A.T., Jackson, T.J., Cosh, M.H. 2011. A first-order radiative transfer model for microwave radiometry of forest canopies at L-band. IEEE Transactions on Geoscience and Remote Sensing. 49:3167-3179.

Liu, Q., Reichle, R., Bindlish, R., Cosh, M.H., Crow, W.T., De Jeu, R., De Lannoy, G., Huffman, G., Jackson, T.J. 2011. The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system. Journal of Hydrometeorology. 12:750-765.

Dorigo, W.A., Wagner, W., Hohensinn, R., Hahn, S., Paulik, C., Drusch, Mecklenburg, S., Van Oevelen, P., Robock, A., Jackson, T.J. 2011. The international soil moisture network: A data hosting facility for global in situ soil moisture measurements. Hydrology and Earth System Sciences. 15:1675-1698.

Brunsell, N., Mechem, D.B., Anderson, M.C. 2011. Surface heterogeneity impacts on boundary layer dynamics via energy balance partitioning. Atmospheric Chemistry and Physics. 11:3403-3416.

Mehmet, K., O'Neill, P.E., Lang, R.H., Cosh, M.H., Joseph, A.T., Jackson, T.J. 2011. Impact of conifer forest litter on microwave emission at L-band. IEEE Transactions on Geoscience and Remote Sensing. 50(4):1071-1084.

Parinussa, R., Holmes, T.R., Crow, W.T. 2011. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations. Hydrology and Earth System Sciences. 15(10):3135-3151.

Colaizzi, P.D., Evett, S.R., Howell, T.A., Gowda, P., O'Shaughnessy, S.A., Tolk, J.A., Kustas, W.P., Anderson, M.C. 2012. Two source energy balance model: Refinements and lysimeter tests in the Southern High Plains. Transactions of the ASABE. 55(2):551-562.

Zaitchik, B.F., Simane, B., Habib, S., Anderson, M.C., Ozdogan, M., Foltz, J.D. 2012. Building climate resilience in the Blue Nile/Abay Highlands: Part II-arole for earth system sciences. International Journal of Environmental Research and Public Health. 9:435-461.

Kurum, M., O'Neill, P.E., Lang, R.H., Joseph, A.T., Cosh, M.H., Jackson, T.J. 2012. Effective tree scattering and opacity at L-band. IEEE Transactions on Geoscience and Remote Sensing. 118:1-9.

Colliander, A., Chan, S., Kim, S., Das, N., Yueh, S., Cosh, M.H., Bindlish, R., Jackson, T.J., Njoku, E. 2012. Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development. Remote Sensing of Environment. 121:309-322.

Vanderlilnden, K., Vereecken, H., Hardelauf, H., Herbst, M., Martinez, G., Cosh, M.H., Pachepsky, Y.A. 2012. Temporal stability of soil water contents: A review of data and analyses. Vadose Zone Journal. DOI:10.2136/vzj2011.0178.

Last Modified: 10/16/2017
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