Spatial Analysis of Vegetation Condition in the El Nino Phase of 2023 in Parangloe District, Gowa Regency
DOI:
https://doi.org/10.20956/ijesca.v0i0.6442Keywords:
El Nino, Vegetation, NDVI, Remote sensing, Parangloe sub-districtAbstract
The El Nino phenomenon is a climate anomaly that has a significant impact on environmental conditions, including decreased rainfall and vegetation degradation in tropical regions such as Indonesia. This study aims to analyse vegetation conditions during the El Nino phase in 2023 in Parangloe District, Gowa Regency spatially using a remote sensing approach. The data used includes satellite images to calculate the Normalised Difference Vegetation Index (NDVI). This research shows that the El Nino phenomenon in 2023 has a significant impact on vegetation conditions in Parangloe District, Gowa Regency. There was a decrease in the area with high vegetation index from 13,155 hectares in July, to 7,477 hectares in September, which means a decrease of 5,678 hectares or about 43%. In contrast, the area with no vegetation increased drastically from 725 hectares to 3,040 hectares. In addition, the area of low vegetation also increased from 607 hectares to 2,215 hectares, reflecting the widespread ecological stress caused by the drought. This decline in vegetation not only impacts the ecological function of the area, but also has the potential to disrupt local food security and increase vulnerability to environmental disasters such as erosion and extreme drought.Downloads
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Published
2025-06-05
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