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A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors
Abstract : A sequential model is developed to disaggregate microwave-derived soil moisture from 40 km to 4 km resolution using MODIS (Moderate Imaging Spectroradiometer) data and subsequently from 4 km to 500 m resolution using ASTER (Advanced Scanning Thermal Emission and Reflection Radiometer) data. The 1 km resolution airborne data collected during the three-week National Airborne Field Experiment 2006 (NAFE'06) are used to simulate the 40 km pixels, and a thermal-based disaggregation algorithm is applied using 1 km resolution MODIS and 100 m resolution ASTER data. The downscaled soil moisture data are subsequently evaluated using a combination of airborne and in situ soil moisture measurements. A key step in the procedure is to identify an optimal downscaling resolution in terms of disaggregation accuracy and sub-pixel soil moisture variability. Very consistent optimal downscaling resolutions are obtained for MODIS aboard Terra, MODIS aboard Aqua and ASTER, which are 4 to 5 times the thermal sensor resolution. The root mean square error between the 500 m resolution sequentially disaggregated and ground-measured soil moisture is 0.^062 vol./vol. with a bias of −0.045^ vol./vol. and values ranging from 0.08 to 0.40^ vol./vol.
Cited literature [10 references]
https://hal.ird.fr/ird-00403130
Contributor : Dominique Bruel <>
Submitted on : Thursday, July 9, 2009 - 2:03:25 PM
Last modification on : Friday, March 27, 2020 - 2:04:49 AM
Document(s) archivé(s) le : Monday, October 15, 2012 - 3:10:56 PM
Contributor : Dominique Bruel <>
Submitted on : Thursday, July 9, 2009 - 2:03:25 PM
Last modification on : Friday, March 27, 2020 - 2:04:49 AM
Document(s) archivé(s) le : Monday, October 15, 2012 - 3:10:56 PM
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RSE_7453OlivierMerlin.pdf
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