The Mulargia river basin is located in central Sardinia (Italy) and is characterized by the presence of geomorphologically active processes and human activities whose overall effect results in a environmental impact on superficial water quality, in the framework of a droughtorone region. On this subject, a large multidisciplinary project is in progress in which the elaboration of remotely sensed images constitutes an important part, allowing to understand the seasonal land-use evolution and to monitor the presence and movement of organic materials. These data have been combined with those derived from ground truth and ground survey campaigns concerning geology and geomorphology. Furthermore, rainfall simulations have been carried out in order to evaluate the principal parameters involved in the soil erosion processes. On these data an hydrologic model has been applied based on a DTM of the whole area, providing information on the spatial prevalence of the different erosion processes. Then, in order to reasonably assess the vegetation cover effect on landscape evolution, a set of classified data concerning the latter have been extracted from Landsat TM imagery and subsequently fed into the model. Results show a clear improvement in the model forecasting concerning soil erosion hazardous areas.

Hydro-geomorphologic models and remote sensing in drought-prone regions: the example of the Mulargia basin in Sardinia / Bianchi F.; Moretti S.; Catani F.; Dessena M.A.. - STAMPA. - 5:(2000), pp. 2008-2010. (Intervento presentato al convegno IGARSS 2000 tenutosi a Honolulu (Hawaii), USA nel 24-28 July 2000) [10.1109/IGARSS.2000.858247].

Hydro-geomorphologic models and remote sensing in drought-prone regions: the example of the Mulargia basin in Sardinia

MORETTI, SANDRO;CATANI, FILIPPO;
2000

Abstract

The Mulargia river basin is located in central Sardinia (Italy) and is characterized by the presence of geomorphologically active processes and human activities whose overall effect results in a environmental impact on superficial water quality, in the framework of a droughtorone region. On this subject, a large multidisciplinary project is in progress in which the elaboration of remotely sensed images constitutes an important part, allowing to understand the seasonal land-use evolution and to monitor the presence and movement of organic materials. These data have been combined with those derived from ground truth and ground survey campaigns concerning geology and geomorphology. Furthermore, rainfall simulations have been carried out in order to evaluate the principal parameters involved in the soil erosion processes. On these data an hydrologic model has been applied based on a DTM of the whole area, providing information on the spatial prevalence of the different erosion processes. Then, in order to reasonably assess the vegetation cover effect on landscape evolution, a set of classified data concerning the latter have been extracted from Landsat TM imagery and subsequently fed into the model. Results show a clear improvement in the model forecasting concerning soil erosion hazardous areas.
2000
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
IGARSS 2000
Honolulu (Hawaii), USA
24-28 July 2000
Bianchi F.; Moretti S.; Catani F.; Dessena M.A.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/240229
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