Basri, Nurul Muchlisah
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Profile of Sentinel 2 Vegetation Index as Impact of Forest Change: Case Study Enrekang Regency 2019 – 2024 Periods Rijal, Syamsu; Nursaputra, Munajat; Ahmad, Afandi; Chairil; Sinaga, Revalina Theresia; Kasang, Helen Natalia; Tangdilintin, Yulanda Angel; Natsir, Anugrahandini; Basri, Nurul Muchlisah
Jurnal Hutan dan Masyarakat VOLUME 17 NO 2, DESEMBER 2025
Publisher : Fakultas Kehutanan, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jhm.v17i2.48920

Abstract

Land cover change is one of the key factors influencing environmental quality and ecosystem dynamics, especially in areas experiencing pressure from land use and the growth of anthropogenic activities. The Indonesian Government’s commitment to reducing greenhouse gas emissions from the land-use sector by national FOLU Net Sink 2030. This study was conducted to provide a quantitative of the vegetation indices as a response to forest cover dynamic. The study showed that the SAVI and NDVI are able to describe the change of forest to other vegetated land cover. Meanwhile, EVI index only sensitive to the change of forest to settlement area. It could be concluded that monitoring of forest change could be done by utilizing vegetation indices from Sentinel 2 satellite imagery. However, it is also necessary to pay attention to variables such as weather data, pioneer vegetation on the shrub or bareland area, as well as band processing of satellite imagery that could affect the sensitivity of vegetation indices to land cover changes in an area.
Dinamika Spasial dan Kesehatan Ekologis Ekosistem Mangrove: Perspektif dari Lantebung, Makassar, Indonesia Sabar, Adrayanti; Nursaputra, Munajat; Jusuf, Yusran; Supratman, Supratman; Makassau, Ahmad Rifqi; Basri, Nurul Muchlisah; Nurjanna, Nurjanna; Araya, Ahmad
Jurnal Ilmu Kehutanan Vol 20 No 1 (2026): March
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jik.v20i1.20360

Abstract

The mangrove ecosystem is crucial for coastal protection, carbon sequestration, and biodiversity conservation. Therefore, this research aimed to investigate the spatial dynamics and health of the Lantebung Mangrove Ecosystem in Bira Village, Makassar from 2017 to 2023, using the Mangrove Health Index (MHI) derived from satellite imagery to assess changes in mangrove area, evaluate health using Normalized Burn Ratio (NBR), Green Chlorophyll Index (GCI), Structure Insensitive Pigment Index (SIPI), and Atmospherically Resistant Vegetation Index (ARVI) indices, and identify influencing factors, including urbanization, pollution, and conservation efforts. The analysis used Landsat 8 imagery to calculate MHI values and classify health levels. The results showed an increase in mangrove area from 14.45 ha in 2017 to 18.19 ha in 2023, attributed to effective conservation programs. However, MHI values fluctuated, peaking at 370.32 in 2020 and declining to 148.60 in 2023, indicating persistent environmental pressures. This research underscored the need for integrated management practices to enhance mangrove health and resilience against urbanization, pollution, and climate change. The results underscored the importance of remote sensing for monitoring and guiding conservation strategies in the mangrove ecosystem.