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

O. Merlin; A. Al Bitar; J P. Walker; Y.H. Kerr

HAL : ird-00403130, version 1

DOI : 10.1016/j.rse.2009.06.012

Code IRD Horizon : fdi:010048191

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A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors
Merlin O., Al Bitar A., Walker J. P., Kerr Y.H.
Remote Sensing of Environment (2009) RSE-07453; No of Pages 10 - http://hal.ird.fr/ird-00403130

type de publication :

Articles dans des revues avec comité de lecture

domaine :

Sciences du Vivant/Ecologie, Environnement/Ecosystèmes

titre :

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

auteur(s) :

O. Merlin (

) ¹, A. Al Bitar ¹, J P. Walker ², Y.H. Kerr (

) ¹

laboratoire :

1 :	Centre d'études spatiales de la biosphère (CESBIO)

	http://www.cesbio.ups-tlse.fr

	CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III

	bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4

	France

2 :	Department of Civil and Environmental Engineering

	University of Melbourne

	Australie

résumé :

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.

langue du texte
intégral :

Anglais

journal :

Remote Sensing of Environment
Publisher	Elsevier
ISSN	0034-4257

Audience :

non spécifiée

date de publication :

2009

page, identifiant, ... :

RSE-07453; No of Pages 10

mots-clés :

Disaggregation – Soil moisture – Fractal – Scaling – Multi-sensor – NAFE – SMOS – MODIS – ASTER

Liste des fichiers attachés à ce document :

PDF

RSE_7453OlivierMerlin.pdf

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ird-00403130, version 1
http://hal.ird.fr/ird-00403130
oai:hal.ird.fr:ird-00403130
Contributeur : Dominique Bruel <>
Soumis le : Jeudi 9 Juillet 2009, 14:03:25
Dernière modification le : Jeudi 9 Juillet 2009, 14:15:33