A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors

O. Merlin 1, * A. Al Bitar 1 J P. Walker 2 Y.H. Kerr 1
* Corresponding author
1 CESBIO - Centre d'études spatiales de la biosphère
2 Department of Civil and Environmental Engineering
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.
keyword : Disaggregation Soil moisture Fractal Scaling Multi-sensor MODIS ASTER SMOS NAFE
Document type :
Journal articles
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download
https://hal.ird.fr/ird-00403130
Contributor : Dominique Bruel <>
Submitted on : Thursday, July 9, 2009 - 2:03:25 PM
Last modification on : Saturday, October 26, 2019 - 1:45:36 AM
Long-term archiving on: Monday, October 15, 2012 - 3:10:56 PM

File

RSE_7453OlivierMerlin.pdf
Files produced by the author(s)

Identifiers

Collections

IRD | CNRS | OMP | OMP-CESBIO | UNIV-TLSE3

Citation

O. Merlin, A. Al Bitar, J P. Walker, Y.H. Kerr. A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors. Remote Sensing of Environment, Elsevier, 2009, pp.RSE-07453; No of Pages 10. ⟨10.1016/j.rse.2009.06.012⟩. ⟨ird-00403130⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

426

Files downloads

471

Contact

CCSD