Darhamsyah, Ari Affandy Mahyuddin, Samsu Arif

Spatial Analysis of Vegetation Condition in the El Nino Phase of 2023 in Parangloe District, Gowa Regency

Introduction

Spatial analysis of vegetation condition in the el nino phase of 2023 in parangloe district, gowa regency. Analyzes El Nino 2023's impact on vegetation in Parangloe, Gowa, using remote sensing. Reveals a 43% decrease in high vegetation, increasing ecological stress and disaster risk.

Abstract

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.

Review

This paper presents a timely and pertinent spatial analysis of vegetation conditions in Parangloe District, Gowa Regency, during the 2023 El Nino phase. By employing a remote sensing approach, specifically utilizing the Normalised Difference Vegetation Index (NDVI) derived from satellite images, the study effectively investigates the significant environmental impacts of this climate anomaly. The chosen methodology is appropriate for assessing large-scale vegetation changes and is crucial for understanding the widespread effects of El Nino-induced drought in tropical regions like Indonesia. The findings are compelling and clearly demonstrate a substantial degradation of vegetation cover. The research highlights a dramatic decrease in areas with high vegetation index, dropping from 13,155 hectares in July to 7,477 hectares in September 2023, representing a 43% reduction. Concurrently, areas with no vegetation saw a drastic increase from 725 to 3,040 hectares, and low vegetation areas expanded from 607 to 2,215 hectares. These quantitative results provide robust evidence of widespread ecological stress and the severe impact of the drought on the local environment within a relatively short period. The implications drawn from these findings are significant, extending beyond ecological function to potential disruptions in local food security and increased vulnerability to environmental disasters such as erosion and future extreme droughts. This study offers valuable, data-driven insights that are essential for local environmental management and disaster preparedness. While the abstract effectively communicates the core findings, a comprehensive paper would ideally elaborate on the specific satellite data and resolutions used, and potentially include a comparative analysis with non-El Nino years to further contextualize the observed changes. Nevertheless, this work underscores the critical need for monitoring and adaptive strategies in regions prone to El Nino's climatic effects.

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