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November 1, 2025JURNAL BIOLOGI TROPISOpen Access

Forest Biomass Modeling Based on Landsat-8 Spectral Indices Using Google Earth Engine

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Authors

APAgung Yoga PangestuSAShantu AminNSNurika Arum Sari

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Overview

This analysis demonstrates the effective use of spectral indices for estimating aboveground biomass and carbon stocks in tropical rehabilitation forests, highlighting the role of remote sensing.

Key Points

  • Aboveground biomass estimates varied across a rehabilitation site, affecting carbon stock assessments.
  • NDWI showed the highest correlation with aboveground biomass, indicating its effectiveness in monitoring biomass variation.
  • Vegetation indices were derived and analyzed through the Google Earth Engine platform to enhance biomass estimation.
  • The results highlight the cost-efficiency and replicability of remote sensing methods for forest monitoring.

Cite This Study

Pangestu et al. (2025) studied this question.

synapsesocial.com/papers/690550001a99e50463de6acehttps://doi.org/10.29303/jbt.v25i4.10266
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