In this research we analyze the overall requirement and use of para- meters derived from geomorphic techniques for Deep-seated Gravita- tional Slope Deformation (DGSD) susceptibility assessment in the Cen- tral Apennine (Umbria-Marche area - Central Italy). The geometric pa- rameters characterizing the topography affected by DGSD are investi- gated by remote sensing data. In particular, Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) improved with Land- sat ETM+ imageries are used to detect the topography signature repre- sentative of DGSD susceptibility. Landsat ETM+ data are processed with Spectral Mixing Analysis (SMA). The topographic DGSD signa- ture is determined by different topographic parameters such as slope, relief, aspect and curvature which can be used as a DGSD index de- gree. To characterize important physical properties of the aforesaid sig- nature, the linear mixing model between the dark surface endmember and both the substrate and vegetation endmembers was used. That model highlights the extent to which shadowing and non-reflective sur- faces, combined with illuminated substrate and vegetation at sub-pixel scale, can modulate spectrally mixed ETM+ reflectances in a ridge topography within the DGSD signature. The final results indicate that when incorporated with optical SMA of the Landsat ETM+, the SRTM analysis should improve the capacity for mapping and identifying DGSD in specific landscapes.

Criteria for the elaboration of susceptibility maps for DGSD phenomena in central Italy

Taramelli, A.
2010

Abstract

In this research we analyze the overall requirement and use of para- meters derived from geomorphic techniques for Deep-seated Gravita- tional Slope Deformation (DGSD) susceptibility assessment in the Cen- tral Apennine (Umbria-Marche area - Central Italy). The geometric pa- rameters characterizing the topography affected by DGSD are investi- gated by remote sensing data. In particular, Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) improved with Land- sat ETM+ imageries are used to detect the topography signature repre- sentative of DGSD susceptibility. Landsat ETM+ data are processed with Spectral Mixing Analysis (SMA). The topographic DGSD signa- ture is determined by different topographic parameters such as slope, relief, aspect and curvature which can be used as a DGSD index de- gree. To characterize important physical properties of the aforesaid sig- nature, the linear mixing model between the dark surface endmember and both the substrate and vegetation endmembers was used. That model highlights the extent to which shadowing and non-reflective sur- faces, combined with illuminated substrate and vegetation at sub-pixel scale, can modulate spectrally mixed ETM+ reflectances in a ridge topography within the DGSD signature. The final results indicate that when incorporated with optical SMA of the Landsat ETM+, the SRTM analysis should improve the capacity for mapping and identifying DGSD in specific landscapes.
DGSD, SRTM, ETM, Spectral Mixing Analysis, Central Italy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12076/9591
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