DOAJ Open Access 2019

Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.

Sergio Grauso Vladimiro Verrubbi Alessandro Zini

Abstrak

A correlation analysis between mean Normalized Difference Vegetation Index (NDVI), derived from MODIS imagery time-series (2001-2016), and mean long-term cover management data derived from the C-factor map of the European Union, is here reported. The aim was to find out a model equation helpful to easily estimate the C-factor of the RUSLE by using the remotely sensed vegetation index as predictor. A sigmoid logistic function resulted to fit well with the observed data (R-square = 0.989, RMSE = 0.015). Two examples of simulations at annual timescale are provided, proving the versatility of the proposed model to estimate the C-factor at differently refined timescales and to easily draw updated maps basing on the availability of NDVI data-series.

Topik & Kata Kunci

Cartography Cadastral mapping

Penulis (3)

Sergio Grauso

Vladimiro Verrubbi

Alessandro Zini

Format Sitasi

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Grauso, S., Verrubbi, V., Zini, A. (2019). Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.. https://doi.org/10.48258/geo.v23i2.1576

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Informasi Jurnal

Tahun Terbit: 2019
Sumber Database: DOAJ
DOI: 10.48258/geo.v23i2.1576
Akses: Open Access ✓