This study attempts to gain an areal understanding of potential soil loss due to water erosion in the lower Calore River valley (Southern Italy). To this end, the Universal Soil Loss Equation (USLE) was applied to data obtained from the processing of multitemporal satellite images acquired by the Sentinel 2A system, the elaboration of a digital terrain model and that of weather station records, and the re-elaboration of pre-existing information regarding soil characteristics. The information acquired regarding each USLE factor (i.e., rain erosivity, R; soil erodibility, K; slope and length steepness, LS; and cover management, C), was combined in a GIS environment to obtain a Map of the potential risk of soil erosion. The results showed that the potential soil losses due to water erosion are quite worrying, particularly in hilly and foothill agricultural areas, dominated by valuable crops such as vines and olives.

Use of satellite remote sensing and GIS for soil erosion mapping in the lower Calore river valley (Benevento Province, Southern Italy)

Paolo Magliulo;Alessio Valente
2026-01-01

Abstract

This study attempts to gain an areal understanding of potential soil loss due to water erosion in the lower Calore River valley (Southern Italy). To this end, the Universal Soil Loss Equation (USLE) was applied to data obtained from the processing of multitemporal satellite images acquired by the Sentinel 2A system, the elaboration of a digital terrain model and that of weather station records, and the re-elaboration of pre-existing information regarding soil characteristics. The information acquired regarding each USLE factor (i.e., rain erosivity, R; soil erodibility, K; slope and length steepness, LS; and cover management, C), was combined in a GIS environment to obtain a Map of the potential risk of soil erosion. The results showed that the potential soil losses due to water erosion are quite worrying, particularly in hilly and foothill agricultural areas, dominated by valuable crops such as vines and olives.
2026
soil water erosion, USLE equation, remote sensing, geographic information systems, Southern Italy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/72905
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