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All Journal Indonesian Journal of Forestry Research Geoid - Journal of Geodesy and Geomatics
Filsa Bioresita
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science

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ESTIMATION OF FOREST FIRE AREAS IN PALANGKA RAYA, CENTRAL KALIMANTAN, INDONESIA USING NBR2 AND ITS IMPACT ON ENVIRONMENT Filsa Bioresita; Dennis Euro Pongdatu; Noorlaila Hayati; Udiana Wahyu Deviantari; Cherie Bhekti Pribadi
Indonesian Journal of Forestry Research Vol. 12 No. 1 (2025): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2025.12.1.1-12

Abstract

Indonesia, particularly Palangka Raya City in Central Kalimantan, boasts approximately 241,736.25 hectares of forested areas crucial for human survival. Despite their significance, these areas are plagued by annual forest fires that lead to damage and adverse effects on the environment, including vegetation health and air quality. This research sought to pinpoint the extent of forest fire occurrences and their repercussions by analyzing changes in vegetation health and air quality through remote sensing technology. The study employed various remote sensing techniques, such as the Normalized Burn Ratio 2 (NBR2) for detecting burned areas, the Enhanced Vegetation Index (EVI) for assessing vegetation health, and PM2.5 for analyzing air quality. Utilizing Landsat-8 satellite imagery data as the primary source, the research successfully identified burned areas with an impressive overall accuracy of 82.229% using the NBR2 index. The findings revealed a direct correlation between forest fires and increased air pollution, particularly in PM2.5 levels, as well as a decline in vegetation health in the vicinity of the burned areas. These results highlight the importance of continuous monitoring of forest fire occurrences and their impact through remote sensing data to mitigate their adverse effects.
Land Cover Mapping and Prediction Using Cellular Automata and Markov Chain (Case Study: Depok City, Indonesia) Muhammad Arya Pradipta; Megivareza Putri Hanansyah; Filsa Bioresita; Noorlaila Hayati; Lalu Muhamad Jaelani; Bangun Muljo Sukojo, Husnul Hidayat
GEOID Vol. 21 No. 1 (2026)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v21i1.8766

Abstract

Depok City, a satellite city of Jakarta, is experiencing massive urbanization due to Jakarta's role as an economic hub, leading to significant land-use changes. This study analyses land cover in Depok City annually from 2017 to 2024 across five categories: Built-up Area, Vegetation, Agricultural Land, Bare Land, and Water Body. This process utilizes the Extreme Gradient Boosting algorithm applied to Sentinel-2 Level-1C satellite imagery for the specified period. Subsequently, we predict Depok City's land cover conditions for the year 2042 using a Cellular Automata-Markov Chain simulation. This simulation incorporates historical land cover maps, which were generated previously, along with driving factors such as distance from main roads and distance from health and educational facilities. The year 2042 was chosen to coincide with the expiration of Peraturan Daerah Nomor 9 Tahun 2022, law product concerning the Depok City Spatial Plan for 2022-2042. The final outputs of this research are land cover maps of Depok City for each year from 2017 to 2024, as well as a predicted land cover map for Depok City in 2042. The study found that from 2017 to 2024, the built-up area and vegetation land cover category showed an increasing trend in extent, while the remaining land cover categories decreased. Prediction model of year 2042 shows predicted expansion of Built-Up land and Vegetation land cover categories, while other land cover categories predicted to decrease.
Co-Authors Bangun Muljo Sukojo, Husnul Hidayat Cherie Bhekti Pribadi Dennis Euro Pongdatu Jaelani, Lalu Muhamad Megivareza Putri Hanansyah Muhammad Arya Pradipta Noorlaila Hayati Udiana Wahyu Deviantari