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MONITORING MODEL OF LAND COVER CHANGE FOR THE INDICATION OF DEVEGETATION AND REVEGETATION USING SENTINEL-2

S. Arifin,T. Kartika

Published 2021 in International Journal of Remote Sensing and Earth Sciences

ABSTRACT

Information on land cover change is very important for various purposes, including the monitoring of changes for environmental sustainability. The objective of this study is to create a monitoring model of land cover change for the indication of devegetation and revegetation using data from Sentinel-2 from 2017 to 2018 of the Brantas watershed. This is one of the priority watersheds in Indonesia, so it is necessary to observe changes in its environment, including land cover change. Such change can be detected using remote sensing data. The method used is a hybrid between Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) which aims to detect land changes with a focus on devegetation and revegetation by determining the threshold value for vegetation index (ΔNDVI) and open land index (ΔNBR). The study found that the best thresholds to detect revegetation were  NDVI > 0.0309 and NBR < 0.0176 and to detect devegetation  NDVI < 0.0206 and NBR > 0.0314. It is concluded that Sentinel-2 data can be used to monitor land changes indicating devegetation and revegetation with established NDVI and NBR threshold conditions.

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