%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Merlin, Olivier
%A Al Bitar, A.
%A Walker, J.P.
%A Kerr, Yann
%T A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors
%D 2009
%L fdi:010048191
%G ENG
%J Remote Sensing of Environment
%@ 0034-4257
%K Disaggregation ; Soil moisture ; Fractal ; Scaling ; Multi-sensor ; NAFE ; SMOS ; MODIS ; ASTER
%M ISI:000269277200022
%N 10
%P 2275-2284
%R 10.1016/j.rse.2009.06.012
%U https://www.documentation.ird.fr/hor/fdi:010048191
%> https://www.documentation.ird.fr/intranet/publi/2009/09/010048191.pdf
%V 113
%W Horizon (IRD)
%X 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.
%$ 126 ; 072