Russian Journal of Agricultural and Socio-Economic Sciences (Sep 2023)

MANGROVE VEGETATION DENSITY MAPPING IN UNTIA MAKASSAR VILLAGE USING SENTINEL 2A SATELLITE IMAGERY

  • Rosalina D.,
  • Rombe K.H.,
  • Khasanah R.I.

DOI
https://doi.org/10.18551/rjoas.2023-09.03
Journal volume & issue
Vol. 141, no. 9
pp. 18 – 23

Abstract

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Mangroves are one part of coastal ecosystems, mangroves are very important in coastal ecosystems where, the presence of mangroves can prevent abrasion. This study aims to identify mangrove density in Untia Makassar Village using sentinel 2A satellite imagery. The method used in this study is the Normalized Difference Vegetation Index (NDVI) method, This method is a technique of remote sensing. The results of this study show that in 2022 the mangrove land area is 19.23 ha with the most extensive mangrove density is the normal density with a land area of 13.34 and the lowest mangrove density with a very poor density has a land area of 0.72 ha.

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