In relation to the meeting session "Learning from spatial data: rappresentazione, analisi e processi geo-ambientali" (Learning from data: representation, analysis and geo-environmental processes) we presented a geomorphometric analysis via ad-hoc developed robust surface texture operators, specifically designed for the analysis of high resolution DTMs (HRDTM); in particular we presented some comparison between our proposed surface texture operator and a classical operator based on variogram. The possibility to conduct a robust analysis on noisy and highly non-stationary spatial data, such the one represented by high resolution topography, is particularly interesting in the geomorphological and geo-engineering contexts; also, the usage of surface texture indexes can reveal important information on the typology and intensities of the geomorphic processes and factors.

Experimenting a robust surface texture operator in Alpine environment for high resolution geomorphometry

ROCCA, MICHELE;TREVISANI, SEBASTIANO
2015

Abstract

In relation to the meeting session "Learning from spatial data: rappresentazione, analisi e processi geo-ambientali" (Learning from data: representation, analysis and geo-environmental processes) we presented a geomorphometric analysis via ad-hoc developed robust surface texture operators, specifically designed for the analysis of high resolution DTMs (HRDTM); in particular we presented some comparison between our proposed surface texture operator and a classical operator based on variogram. The possibility to conduct a robust analysis on noisy and highly non-stationary spatial data, such the one represented by high resolution topography, is particularly interesting in the geomorphological and geo-engineering contexts; also, the usage of surface texture indexes can reveal important information on the typology and intensities of the geomorphic processes and factors.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11578/255883
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