On the Use of Sentinel-2 NDVI Time Series and Google Earth Engine to Detect Land-Use/Land-Cover Changes in Fire-Affected Areas

On the Use of Sentinel-2 NDVI Time Series and Google Earth Engine to Detect Land-Use/Land-Cover Changes in Fire-Affected Areas

This study aims to assess the potential of Sentinel-2 NDVI time series and Google Earth Engine to detect small land-use/land-cover changes (at the pixel level) in fire-disturbed environs. To capture both slow and fast changes, the investigations focused on the analysis of trends in NDVI time series,...

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Bibliographic Details
Main Authors: Rosa Lasaponara, Nicodemo Abate, Carmen Fattore, Angelo Aromando, Gianfranco Cardettini, Marco Di Fonzo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
wildfire
land-use/land-cover change
Sentinel-2
random forest
linear regression
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/19/4723

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