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All Journal Sociae Polites: Majalah Ilmiah Sosial-Politik
Mahendra Zhafir Pratama
Department of Geography, State University of Semarang, Semarang, Indonesia
Social Sciences

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PEAT FOREST HEALTH ANALYSIS ON LANDSAT 8 OLI / TIRS IMAGERY USING NDVI METHOD IN KOTAWARINGIN TIMUR REGENCY Rois Saida Sanjaya; Mitha Fitria Anggraini; Mahendra Zhafir Pratama
Sociae Polites Vol. 21 No. 2 (2020): Youth Peatland Conference 2020
Publisher : Faculty of Social and Political Sciences Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/sp.v21i3.2257

Abstract

The degradation of peatland ecosystem has been a mayor impact on the local environment as well as its surroundings such as fires, irriversible drying and dome collapse. This paper presents the application of satellite remote sensing dan GIS techniques to detect and identify peat forest healt in Kotawaringin Timur, Cental Kalimantan Province, Indonesia. Mapping the spasial distribution of peat forest healt is important for making in land management and mitigation of peatland forest fires. This study uses the integration beetwen GIS software and Landsat 8 OLI/TIRS satellite data to identify peatland healt using NDVI in Kotawaringin Timur Regency. This area were picked up as pilot project area for this research because these areas historically had many fire spots on last few years. The result data processing of landsat 8 satellite image shows that 116586,4 hectares of Kotawaringin Timur area is disturbed peatland. Base on the result of landsat 8 image processing data can be seen some areas of Kotawaringin Timur indicate green color means the peat area, and the health level of the peat forest in Kotawaringin Timur Regency is already in the damaged category. Keywords: Peat forest healt, NDVI, GIS, Landsat 8
Co-Authors Mitha Fitria Anggraini Rois Saida Sanjaya