DocumentCode :
3535611
Title :
Use of Radarsat-2 images to develop a scaling method of soil moisture over an agricultural area
Author :
Gherboudj, Imen ; Magagi, Ramata ; Berg, Aaron ; Toth, Brenda
Author_Institution :
Centre d´´Applic. et de Recherches en Teledetection (CARTEL), Univ. de Sherbrooke, Sherbrooke, QC, Canada
Volume :
3
fYear :
2009
fDate :
12-17 July 2009
Abstract :
Our objective is to describe and evaluate the spatial variability of the surface soil moisture at small scales using Radarsat-2 images acquired over an agricultural area. To reach this aim, a geostatistical analysis is applied to up scale the soil moisture from ground measurements to the resolution of radar images and also from retrieving soil moisture at different spatial resolution. To conduct this study, four RADARSAT-2 images acquired at different modes during the summer of 2008 over agriculture fields located in Saskatoon (Saskatchewan, Canada) were used. The available data are ground measurements of soil moisture, surface roughness and vegetation characteristics. The comparison between retrieval and ground soil moisture showed average absolute relative errors of about 35% and 55% for fine and ScanSAR mode images respectively. Indeed, a weak amelioration was obtained from the up scaling of the ground soil moisture data to the spatial scale of the different radar image.
Keywords :
agriculture; hydrology; remote sensing by radar; soil; statistical analysis; surface roughness; synthetic aperture radar; vegetation; Canada; RADARSAT-2 images; Saskatchewan; Saskatoon; ScanSAR mode images; agricultural area; geostatistical analysis; scaling method; surface roughness; surface soil moisture; vegetation characteristics; Image analysis; Image resolution; Image retrieval; Moisture measurement; Radar imaging; Radar measurements; Soil measurements; Soil moisture; Spatial resolution; Surface soil; RADARSAT-2; retrieval of roughness and soil moisture; up-scaling; vegetation canopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417804
Filename :
5417804
Link To Document :
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