TR32-Database: Database of Transregio 32

[743] - Variability of Surface Soil Moisture Observed from Multi-temporal C-band SAR and Field Data

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Koyama, C. N., Korres, W., Fiener, P., Schneider, K., 2010. Variability of Surface Soil Moisture Observed from Multi-temporal C-band SAR and Field Data. Vadose Zone Journal, 9 (4), 1 - 11. DOI: 10.2136/vzj2009.0165.
Identification
Title(s):Main Title: Variability of Surface Soil Moisture Observed from Multi-temporal C-band SAR and Field Data
Description(s):Abstract: The study aimed to analyze the spatial variability of surface soil moisture at different spatial scales based on field measurements and remote sensing estimates. Multitemporal Envisat satellite Advanced Synthetic Aperture Radar (ASAR) data were used to derive the surface soil moisture utilizing an empirical C-band retrieval algorithm. Eight wide-swath (WS) images with a spatial resolution of 150 m acquired between February and October 2008 were used to determine the surface soil moisture contents. The accuracy of the surface soil moisture retrievals was evaluated by comparison with in situ measurements. This comparison yielded a root mean square error of 5% (v/v). Based on our in situ measurements as well as remote sensing results, the relationship of the coefficient of variation of the spatial soil moisture patterns and the mean soil moisture was analyzed at different spatial scales ranging from the catchment scale to the field scale. Our results show that the coefficient of variation decreases at all scales with increasing soil moisture. The gain of this relationship decreases with scale, however, indicating that at a given soil moisture state, the spatial variation at the large scale of whole catchments is larger than at the field scale. Knowledge of the spatial variability of the surface soil moisture is important to better understand energy exchange processes and water fluxes at the land surface as well as their scaling properties.
Identifier(s):DOI: 10.2136/vzj2009.0165
Responsible Party
Creator(s):Author: Christian N. Koyama
Author: Wolfgang Korres
Author: Peter Fiener
Author: Karl Schneider
Publisher:Soil Science Society of America
Topic
TR32 Topic:Remote Sensing
Subject(s):CRC/TR32 Keywords: ASAR, SAR, Soil Moisture, Multi-Temporal, Backscatter, PALSAR, Radar/L-Band, ALOS
File Details
File Name:2010_Koyama_VZJ.pdf
Data Type:Text
Size(s):11 Pages
File Size:2626 kB (2.564 MB)
Date(s):Issued: 2010-11-01
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:51.5915435
East:7.4236328
South:50.2058789
West:5.2263672
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2010
Type:Article
Article Type:Journal
Source:Vadose Zone Journal
Issue:4
Volume:9
Number Of Pages:11
Page Range:1 - 11
Metadata Details
Metadata Creator:Christian N. Koyama
Metadata Created:2013-12-02
Metadata Last Updated:2013-12-02
Subproject:C3
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:145
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features