Soil moisture estimation by using multipolarization SAR image |
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| Authors: | MR Saradjian M Hosseini |
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| Institution: | Remote Sensing Division, Surveying and Geomatics Engineering Department, University College of Engineering, University of Tehran, Iran |
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| Abstract: | In the past studies, different soil moisture estimation models were developed for bare soil areas by using remotely-sensed data. However, there are few models that can be used to estimate soil moisture in vegetated areas. Water Cloud Model (WCM) model is a widely used soil moisture estimation model has been developed for vegetated areas. In this study, the WCM model was extended to take soil roughness parameter into consideration. The modeling and its accuracy assessment were done by using multi-polarization Airborne Synthetic Aperture Radar (AIRSAR) images and ground data collected during field Soil Moisture Experiments. |
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| Keywords: | Soil moisture SAR Multipolarization Least square Regression |
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