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Abstract
This paper addresses the local incidence angle dependence of several polarimetric indices corresponding to landslides in forested areas. Landslide is deeply related to the loss of human lives and their property. Various kinds of remote sensing techniques, including aerial photography, high-resolution optical satellite imagery, LiDAR and SAR interferometry (InSAR), have been available for landslide investigations. SAR polarimetry is potentially an effective measure to investigate landslides because fully-polarimetric SAR (PolSAR) data contain more information compared to conventional single- or dual-polarization SAR data. However, research on landslide recognition utilizing polarimetric SAR (PolSAR) is quite limited. Polarimetric properties of landslides have not been examined quantitatively so far. Accordingly, we examined the polarimetric scattering properties of landslides by an assessment of how the decomposed scattering power components and the polarimetric correlation coefficient change with the local incidence angle. In the assessment, PolSAR data acquired from different directions with both spaceborne and airborne SARs were utilized. It was found that the surface scattering power and the polarimetric correlation coefficient of landslides significantly decrease with the local incidence angle, while these indices of surrounding forest do not. This fact leads to establishing a method of effective detection of landslide area by polarimetric information.
Highlights
This paper addresses the availability of indices derived from fully-polarimetric SAR (PolSAR) data, especially the surface and volume scattering power components derived by model-based scattering power decomposition and the correlation coefficient in the linear polarization basis for landslide investigation
For verification of the above results obtained from PALSAR-2 data analysis, the relationship between polarimetric indices (ps, pv and Re(γ(θ)HH-VV)) were examined with the PolSAR data acquired by the airborne SAR system, Pi-SAR-L2
It is observed that the ps and the Re(γ(θ)HH-VV) decrease from 0.8, while the pv values gradually increase with the local incidence angle for landslides
Summary
This paper addresses the availability of indices derived from fully-polarimetric SAR (PolSAR) data, especially the surface and volume scattering power components derived by model-based scattering power decomposition and the correlation coefficient in the linear polarization basis for landslide investigation. We examined the polarimetric scattering properties of landslides by an assessment of how the decomposed scattering power components and the correlation coefficient change with the local incidence angle It is worth studying the characteristics of polarimetric scattering from landslides for automated identification of landslides from PolSAR data. SAR is an active sensor that transmits and receives microwaves It has an all-weather and day and night imaging capability because the microwave can penetrate clouds and a certain level of rain. Taking these advantages of SAR, it has been used in a wide field of research, including oceanography, agriculture, geology, and so forth. Fully-polarimetric SAR data consist of more information on the electromagnetic scattering characteristics of the terrain targets compared to conventional single- or dual-polarization
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