Summary: This paper presents the results of a two-year experiment carried out in mountain areas on soil moisture retrieval from remotely sensed images. In particular, fully polarimetric synthetic aperture radar (SAR) RADARSAT and single polarization ASAR images were used. During acquisitions of SAR over the test area in Alto Adige, Südtirol region, northern Italy, extensive field measurements were carried out to characterize the area in terms of soil moisture variability, vegetation cover and soil properties. The area is equipped with 17 meteorological stations that also provide information on soil moisture on an hourly basis. To deal with the process of soil moisture retrieval from SAR images in this challenging environment, an advanced algorithm based on the support vector regression (SVR) technique and the integration of ancillary data were successfully proposed. The selected method was also combined with an innovative multi-objective strategy for model selection. The results indica...
Soil moisture monitoring in mountain areas by using high-resolution SAR images: results from a feasibility study
Pasolli, Luca;Bruzzone, Lorenzo;
2014-01-01
Abstract
Summary: This paper presents the results of a two-year experiment carried out in mountain areas on soil moisture retrieval from remotely sensed images. In particular, fully polarimetric synthetic aperture radar (SAR) RADARSAT and single polarization ASAR images were used. During acquisitions of SAR over the test area in Alto Adige, Südtirol region, northern Italy, extensive field measurements were carried out to characterize the area in terms of soil moisture variability, vegetation cover and soil properties. The area is equipped with 17 meteorological stations that also provide information on soil moisture on an hourly basis. To deal with the process of soil moisture retrieval from SAR images in this challenging environment, an advanced algorithm based on the support vector regression (SVR) technique and the integration of ancillary data were successfully proposed. The selected method was also combined with an innovative multi-objective strategy for model selection. The results indica...I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione



