Very high-resolution satellite stereo images play an important role in cartographical and geomorphological applications, provided that all the processing steps follow strict procedures and the result of each step is carefully assessed.We outline a general process for assessing a reliable analysis of terrain morphometry starting from a GeoEye-1 stereo-pair acquired on an area with different morphological features. The key steps were critically analyzed to evaluate the uncertainty of the results. A number of maps of morphometric features were extracted from the digital elevation models in order to characterize a landslide; on the basis of the contour line and feature maps, we were able to accurately delimit the boundaries of the various landslide bodies.

Barbarella, M., Fiani, M., Zollo, C. (2017). Assessment of DEM derived from very high-resolution stereo satellite imagery for geomorphometric analysis. EUROPEAN JOURNAL OF REMOTE SENSING, 50(1), 534-549 [10.1080/22797254.2017.1372084].

Assessment of DEM derived from very high-resolution stereo satellite imagery for geomorphometric analysis

BARBARELLA, MAURIZIO;
2017

Abstract

Very high-resolution satellite stereo images play an important role in cartographical and geomorphological applications, provided that all the processing steps follow strict procedures and the result of each step is carefully assessed.We outline a general process for assessing a reliable analysis of terrain morphometry starting from a GeoEye-1 stereo-pair acquired on an area with different morphological features. The key steps were critically analyzed to evaluate the uncertainty of the results. A number of maps of morphometric features were extracted from the digital elevation models in order to characterize a landslide; on the basis of the contour line and feature maps, we were able to accurately delimit the boundaries of the various landslide bodies.
2017
Barbarella, M., Fiani, M., Zollo, C. (2017). Assessment of DEM derived from very high-resolution stereo satellite imagery for geomorphometric analysis. EUROPEAN JOURNAL OF REMOTE SENSING, 50(1), 534-549 [10.1080/22797254.2017.1372084].
Barbarella, Maurizio; Fiani, Margherita; Zollo, Cesarino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/607507
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