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September 10, 2025Jurnal Penelitian Pendidikan IPAOpen Access

Application of Remote Sensing for Mapping Vegetation Density Using Normalized Difference Vegetation Index (NDVI) in Langsa City Mangrove Forest

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Authors

FUFuji Attariq UnshaSRSaida RasnoviDDDahlan Dahlan

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Overview

This analysis uncovers vegetation density patterns in a coastal forest using NDVI and GIS tools, suggesting implications for conservation.

Key Points

  • High vegetation density, accounting for 57.2%, was identified in the Langsa City mangrove forest.
  • NDVI values categorized vegetation into four classes, with notable findings in the very low to high density ranges.
  • Utilizing Sentinel-2A satellite imagery, the study assessed vegetation health, which can inform sustainable management.
  • The analysis emphasizes the importance of NDVI for ongoing monitoring of mangrove ecosystems in coastal areas.

Cite This Study

Unsha et al. (2025) studied this question.

synapsesocial.com/papers/68c1c31254b1d3bfb60f05f7https://doi.org/10.29303/jppipa.v11i7.11530
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