DocumentCode :
1882918
Title :
Spatial and temporal mapping of soil moisture content with polarimetric RADARSAT 2 SAR imagery in the Alpine area
Author :
Pasolli, Luca ; Notarnicola, Claudia ; Bruzzone, Lorenzo ; Bertoldi, Giacomo ; Niedrist, Georg ; Tappeiner, Ulrike ; Zebish, Marc ; Del Frate, Fabio ; Laurin, Gaia Vaglio
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1067
Lastpage :
1070
Abstract :
In this work, fully polarimetric RADARSAT2 SAR images and advanced feature extraction strategies are investigated for improving the retrieval of soil moisture content in Alpine meadows and pastures. More in detail, standard Intensity & Phase polarimetric features, polarimetric decompositions and general purpose feature extraction strategies are exploited in combination with a sequential forward selection to increase the accuracy of the system. The capability of the system to provide spatially and temporally distributed estimates of soil moisture is also addressed by using different satellite acquisitions. The achieved results indicate that the polarimetric information in the SAR data, if properly exploited, allows one to improve the estimation of soil moisture content in the investigated mountain area. Concerning the mapping of the target variable, the analysis of the results suggest that the proposed estimation system is promising and effectively maps the soil moisture status both in time and space.
Keywords :
feature extraction; geophysical image processing; moisture; radar polarimetry; remote sensing by radar; soil; synthetic aperture radar; Alpine meadows; feature extraction strategy; pastures; phase polarimetric feature; polarimetric RADARSAT 2 SAR imagery; polarimetric decomposition; sequential forward selection; soil moisture content; spatial mapping; temporal mapping; Data mining; Estimation; Feature extraction; Remote sensing; Soil moisture; Synthetic aperture radar; Remote Sensing; Synthetic Aperture Radar (SAR); biophysical parameters; estimation; soil moisture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049380
Filename :
6049380
Link To Document :
بازگشت