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: | , , |
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| Format: | article |
| Language: | EN IT |
| Published: |
mediaGEO soc. coop.
2019
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| Subjects: | |
| Online Access: | https://doaj.org/article/31b5e0c6b3e44d689b57653a84d6d1fc |
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| Summary: | 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.
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