A dynamic approach for evaluating coarse scale satellite soil moisture products

Validating coarse scale remote sensing soil moisture products requires a comparison of gridded data to point-like ground measurements. The necessary aggregation of in situ measurements to the footprint scale of a satellite sensor (>100 km<sup>2</sup>) introduces un...

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Main Authors: A. Loew, F. Schlenz
Format: Article
Language:English
Published: Copernicus Publications 2011-01-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/15/75/2011/hess-15-75-2011.pdf
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author A. Loew
F. Schlenz
author_facet A. Loew
F. Schlenz
author_sort A. Loew
collection DOAJ
description Validating coarse scale remote sensing soil moisture products requires a comparison of gridded data to point-like ground measurements. The necessary aggregation of in situ measurements to the footprint scale of a satellite sensor (>100 km<sup>2</sup>) introduces uncertainties in the validation of the satellite soil moisture product. Observed differences between the satellite product and in situ data are therefore partly attributable to these aggregation uncertainties. The present paper investigates different approaches to disentangle the error of the satellite product from the uncertainties associated to the up-scaling of the reference data. A novel approach is proposed, which allows for the quantification of the remote sensing soil moisture error using a temporally adaptive technique. It is shown that the point-to-area sampling error can be estimated within 0.0084 [m<sup>3</sup>/m<sup>3</sup>].
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spelling doaj.art-950a7734268e48e881e5bd4642000b562022-12-22T01:44:35ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382011-01-01151759010.5194/hess-15-75-2011A dynamic approach for evaluating coarse scale satellite soil moisture productsA. LoewF. SchlenzValidating coarse scale remote sensing soil moisture products requires a comparison of gridded data to point-like ground measurements. The necessary aggregation of in situ measurements to the footprint scale of a satellite sensor (>100 km<sup>2</sup>) introduces uncertainties in the validation of the satellite soil moisture product. Observed differences between the satellite product and in situ data are therefore partly attributable to these aggregation uncertainties. The present paper investigates different approaches to disentangle the error of the satellite product from the uncertainties associated to the up-scaling of the reference data. A novel approach is proposed, which allows for the quantification of the remote sensing soil moisture error using a temporally adaptive technique. It is shown that the point-to-area sampling error can be estimated within 0.0084 [m<sup>3</sup>/m<sup>3</sup>].http://www.hydrol-earth-syst-sci.net/15/75/2011/hess-15-75-2011.pdf
spellingShingle A. Loew
F. Schlenz
A dynamic approach for evaluating coarse scale satellite soil moisture products
Hydrology and Earth System Sciences
title A dynamic approach for evaluating coarse scale satellite soil moisture products
title_full A dynamic approach for evaluating coarse scale satellite soil moisture products
title_fullStr A dynamic approach for evaluating coarse scale satellite soil moisture products
title_full_unstemmed A dynamic approach for evaluating coarse scale satellite soil moisture products
title_short A dynamic approach for evaluating coarse scale satellite soil moisture products
title_sort dynamic approach for evaluating coarse scale satellite soil moisture products
url http://www.hydrol-earth-syst-sci.net/15/75/2011/hess-15-75-2011.pdf
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