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All Journal GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi GeoEco
Komura, Al Ikhsan Rama
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Earth & Planetary Sciences Education Environmental Science Social Sciences Other

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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>
ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU Komura, Al Ikhsan Rama; Sumarmi, Sumarmi; Bachri, Syamsul
GeoEco Vol 11, No 2 (2025): GeoEco July 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v11i2.86711

Abstract

This study was conducted in the mangrove forest area of Bengkulu City, Indonesia, which is rich in ecosystem diversity and has a long coastline. By utilising remote sensing technology, this study aimed to provide accurate information on the condition of mangrove forests and their role in the local ecosystem. Sentinel image analysis using NDVI, SAVI, and NDWI vegetation indices showed that NDVI was dominated by high density with values between 0.35 and 1, covering an area of 674.19 hectares. In the SAVI analysis, an extremely high density class with values 1.22 to 1.38 covered an area of 457.82 hectares. Conversely, NDWI indicated a low-density class with values between 0.17 and 0.27, covering an area of 457.82 hectares. Accuracy tests conducted with 30 samples showed an accuracy level of 83.33%. It is hoped that this study's results can significantly contribute to the understanding and management of mangrove ecosystems in Bengkulu City. 
Co-Authors Diky Al Khalidy Gastama, Aulia Nindy Fadila Maghfiroh, Ainun Nuryadin, Muhammad Taufan Syamsul Bachri Widya Nur Hidayati