Evaluation of Vegetation Health in the PT X Reclamation Area Using the NDVI Method Based on Unmanned Aerial Vehicle (UAV) Multispectral Orthophoto Data

Abstract According to the International Energy Agency (IEA) in 2023, Indonesia became the third-largest coal-producing country globally after China and India. Indonesia’s coal production amounted to 775.2 million tons in 2023, and around 27% was used for domestic needs. Coal mining in Indonesia generally uses an open-pit mining system, which impacts changes in land cover, landscape form, and the loss of flora and fauna. To dismiss this stigma, good mining practices must be applied in every process to ensure the balance of post-mining land’s natural and social functions. One effort to restore the condition of post-mining land is revegetation. Revegetation activities on ex-mining land require much time, money, and energy, so the planted vegetation must be monitored and evaluated. The problem often encountered when using Landsat and Sentinel satellite image data is that clouds cover many areas because the island of Kalimantan has a tropical climate with high rainfall, humidity, and temperature throughout the year. Then, using multispectral aerial photography data is one solution for monitoring plant health. With the advancement of photogrammetric technology using multispectral cameras, it is possible to analyze the health of reclaimed plants using the NDVI method. The results of the NDVI analysis on reclaimed plants produced the highest index value of 0.877 and the lowest value of 0.013. With very healthy plant criteria covering 12.47 ha (71.5%), healthy plant criteria covering 4.95 ha (28.4%), and unhealthy criteria covering 0.02 ha (0.1%).

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-12-01
DOI
https://doi.org/10.1088/1755-1315/1418/1/012010
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Evaluation of Vegetation Health in the PT X Reclamation Area Using the NDVI Method Based on Unmanned Aerial Vehicle (UAV) Multispectral Orthophoto Data

A Sediyo Adi Nugraha, Teguh Hariyanto
IOP Conference Series Earth and Environmental Science
Remote Sensing in Agriculture
article

Evaluation of Vegetation Health in the PT X Reclamation Area Using the NDVI Method Based on Unmanned Aerial Vehicle (UAV) Multispectral Orthophoto Data

A Sediyo Adi Nugraha, Teguh Hariyanto
article en

Abstract

Abstract According to the International Energy Agency (IEA) in 2023, Indonesia became the third-largest coal-producing country globally after China and India. Indonesia’s coal production amounted to 775.2 million tons in 2023, and around 27% was used for domestic needs. Coal mining in Indonesia generally uses an open-pit mining system, which impacts changes in land cover, landscape form, and the loss of flora and fauna. To dismiss this stigma, good mining practices must be applied in every process to ensure the balance of post-mining land’s natural and social functions. One effort to restore the condition of post-mining land is revegetation. Revegetation activities on ex-mining land require much time, money, and energy, so the planted vegetation must be monitored and evaluated. The problem often encountered when using Landsat and Sentinel satellite image data is that clouds cover many areas because the island of Kalimantan has a tropical climate with high rainfall, humidity, and temperature throughout the year. Then, using multispectral aerial photography data is one solution for monitoring plant health. With the advancement of photogrammetric technology using multispectral cameras, it is possible to analyze the health of reclaimed plants using the NDVI method. The results of the NDVI analysis on reclaimed plants produced the highest index value of 0.877 and the lowest value of 0.013. With very healthy plant criteria covering 12.47 ha (71.5%), healthy plant criteria covering 4.95 ha (28.4%), and unhealthy criteria covering 0.02 ha (0.1%).

IOP Conference Series Earth and Environmental ScienceVol. 1418(1)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 52%
Remote Sensing in Agriculture
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