Universität zu Köln

Esch, Sabrina, Korres, Wolfgang, Reichenau, Tim G. and Schneider, Karl ORCID: 0000-0002-4381-2151 (2018). Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas. J. Appl. Remote Sens., 12 (2). BELLINGHAM: SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS. ISSN 1931-3195

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Abstract

Soil moisture is an important factor influencing hydrological and meteorological exchange processes at the land surface. Synthetic aperture radar (SAR) backscatter is strongly affected by the volumetric soil moisture content, thus providing the potential to derive spatially distributed soil moisture information. Archives of historic SAR data exist, in which the use is limited by the lack of corresponding ground truth measurements. This study analyzes the potential of using a soil moisture index (SMI) with high spatial resolution to assess the soil moisture status in the absence of ground truth data. The index method is applied to agricultural areas in the catchment of the river Rur in Germany. The SMI was evaluated using antecedent precipitation and the wetting and drying behavior. The spatial patterns of the SMI were analyzed using semi-variograms. This study confirms the applicability of a high resolution soil moisture index for monitoring near-surface soil moisture changes, to analyze soil moisture patterns, and indicates the possibility to complement antecedent precipitation as an input to hydrological models. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Esch, Sabrina UNSPECIFIED UNSPECIFIED UNSPECIFIED Korres, Wolfgang UNSPECIFIED UNSPECIFIED UNSPECIFIED Reichenau, Tim G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, Karl UNSPECIFIED orcid.org/0000-0002-4381-2151 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-189557
DOI:	10.1117/1.JRS.12.022206
Journal or Publication Title:	J. Appl. Remote Sens.
Volume:	12
Number:	2
Date:	2018
Publisher:	SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Place of Publication:	BELLINGHAM
ISSN:	1931-3195
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SURFACE-ROUGHNESS; WATER-CONTENT; RETRIEVAL; BACKSCATTERING; VARIABILITY; LANDSCAPE Multiple languages Environmental Sciences; Remote Sensing; Imaging Science & Photographic Technology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/18955