# The NDVI algorithm utilization on the google earth engine platform to monitor changes in forest density in mining area
> Nursaputra M.

URL kanonis: https://discover.unhas.ac.id/publications/the-ndvi-algorithm-utilization-on-the-google-earth-engine-platform-to-monitor-ch
Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science
Tahun terbit: 2021
DOI: https://doi.org/10.1088/1755-1315/886/1/012100
ISSN: 17551307
Citations: 4

## Authors
- Nursaputra M.

## Abstract
Abstract Periodic forest monitoring needs to be done to avoid forest degradation. In general, forest monitoring can be conducted manually (field surveys) or using technological innovations such as remote sensing data derived from aerial images (drone results) or cloud computing-based image processing. Currently, remote sensing technology provides large-scale forest monitoring using multispectral sensors and various vegetation index processing algorithms. This study aimed to evaluate the use of the Google Earth Engine (GEE) platform, a geospatial dataset platform, in the Vale Indonesia mining concession area to improve accountable forest monitoring. This platform integrates a set of programming methods with a publicly accessible time-series database of satellite imaging services. The method used is NDVI processing on Landsat multispectral images in time series format, which allows for the description of changes in forest density levels over time. The results of this NDVI study conducted on the GEE platform have the potential to be used as a tool and additional supporting data for monitoring forest conditions and improvement in mining regions.

## Keywords
- Normalized Difference Vegetation Index
- Multispectral image
- Remote sensing
- Geospatial analysis
- Computer science
- Scale (ratio)
- Cloud computing
- Satellite imagery
- Database
- Data mining
- Environmental science
- Leaf area index
- Geography
- Cartography
- Biology
- Operating system
- Ecology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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