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

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...

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Main Authors:	Sergio Grauso, Vladimiro Verrubbi, Alessandro Zini
Format:	article
Language:	EN IT
Published:	mediaGEO soc. coop. 2019
Subjects:	telerilevamento NDVI uso del suolo RUSLE analisi di regressione Cartography GA101-1776 Cadastral mapping GA109.5
Online Access:	https://doaj.org/article/31b5e0c6b3e44d689b57653a84d6d1fc
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spelling	oai:doaj.org-article:31b5e0c6b3e44d689b57653a84d6d1fc2021-11-09T17:45:56ZValutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.10.48258/geo.v23i2.15761128-81322283-5687https://doaj.org/article/31b5e0c6b3e44d689b57653a84d6d1fc2019-07-01T00:00:00Zhttps://www.mediageo.it/ojs/index.php/GEOmedia/article/view/1576https://doaj.org/toc/1128-8132https://doaj.org/toc/2283-5687 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. Sergio GrausoVladimiro VerrubbiAlessandro ZinimediaGEO soc. coop.articletelerilevamentoNDVIuso del suoloRUSLEanalisi di regressioneCartographyGA101-1776Cadastral mappingGA109.5ENITGEOmedia, Vol 23, Iss 2 (2019)
institution	DOAJ
collection	DOAJ
language	EN IT
topic	telerilevamento NDVI uso del suolo RUSLE analisi di regressione Cartography GA101-1776 Cadastral mapping GA109.5
spellingShingle	telerilevamento NDVI uso del suolo RUSLE analisi di regressione Cartography GA101-1776 Cadastral mapping GA109.5 Sergio Grauso Vladimiro Verrubbi Alessandro Zini Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.
description	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.
format	article
author	Sergio Grauso Vladimiro Verrubbi Alessandro Zini
author_facet	Sergio Grauso Vladimiro Verrubbi Alessandro Zini
author_sort	Sergio Grauso
title	Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.
title_short	Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.
title_full	Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.
title_fullStr	Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.
title_full_unstemmed	Valutazione dinamica del fattore copertura del suolo (C-factor) della RUSLE attraverso immagini telerilevate.
title_sort	valutazione dinamica del fattore copertura del suolo (c-factor) della rusle attraverso immagini telerilevate.
publisher	mediaGEO soc. coop.
publishDate	2019
url	https://doaj.org/article/31b5e0c6b3e44d689b57653a84d6d1fc
work_keys_str_mv	AT sergiograuso valutazionedinamicadelfattorecoperturadelsuolocfactordellarusleattraversoimmaginitelerilevate AT vladimiroverrubbi valutazionedinamicadelfattorecoperturadelsuolocfactordellarusleattraversoimmaginitelerilevate AT alessandrozini valutazionedinamicadelfattorecoperturadelsuolocfactordellarusleattraversoimmaginitelerilevate
_version_	1718440916749910016

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

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