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Spatial Analysis of Flood Vulnerability Levels in Makassar City Using Geographic Information Systems Maru, Rosmini; Nasrul , Nasrul; Nuryadin, Muhammad Taufan; Nur, Medar M; Amdah, Misdar; Hasja, Aulia Diar; Musyawarah, Rahma; Mulianti, Mulianti; Tripaldi, Agus
Jurnal Ilmu Alam dan Lingkungan Vol. 15 No. 2 (2024): Jurnal Ilmu Alam dan Lingkungan
Publisher : Universitas Hasanuddin

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Abstract

This research aims to determine the flood intensity in Makassar City, which is influenced by several factors, including land use, slope gradient, land cover, and rainfall. The research method is a quantitative approach using spatial analysis to examine spatial phenomena. The spatial analysis was conducted using an overlay method with a scoring technique to map each variable that affects flood intensity. The analysis results indicate that the flood intensity in Makassar City is categorized into three levels: low, moderate, and high.. The analysis results suggest that in Makassar City, 37.4 km² or 21% of the total area falls into the low rainfall intensity category. In contrast, the moderate rainfall intensity category encompasses 73.3 km² or 41% of the city, while the high rainfall intensity category represents 68.1 km² or 38% of the total area. This research has implications for efforts to control the pace of regional development that influences and potentially exacerbates flooding, thereby enabling early mitigation of environmental issues.
Analisis Spasial Perubahan Tutupan Lahan terhadap Suhu Permukaan di Kota Malang Komura, Al Ikhsan Rama; Khalidy, Diky Al; Gastama, Aulia Nindy Fadila; Nuryadin, Muhammad Taufan; Hidayati, Widya Nur; Maghfiroh, Ainun; Bachri, Syamsul
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i2.10849

Abstract

This study aims to analyze the impact of land cover changes on land surface temperature LST in Malang City for the years 2015 2019 and 2024 using geospatial technology The methods include supervised classification for land cover analysis and LST extraction using Sentinel 2 and Landsat 8 imagery The results show a significant increase in built up areas from 5 793 ha 2015 to 8 419 ha 2024 while vegetated areas declined sharply from 3 952 ha to 2 356 ha during the same period Surface temperatures rose from 28 4 C 2015 to 30 2 C 2024 indicating a negative correlation between NDVI and LST R = 0 5521 in 2024 The decline in vegetation due to urbanization contributes to rising surface temperatures This study recommends sustainable land management policies through environmentally friendly regional spatial planning< em>< p>