Analysis of Land Cover Change Using Sentinel-2 Images at Natural Laboratory of Peat Swamp Forest Area CIMTROP University of Palangka Raya: Analisis Perubahan Tutupan Lahan Menggunakan Citra Sentinel 2 Areal Laboratorium Alam Hutan Gambut CIMTROP Universitas Palangka Raya

Gery Ardianto; Hendrik Segah; Yusuf Aguswan; Antonius Triyadi; Grace Siska

doi:10.59032/jpsi.v1i1.7541

Authors

Gery Ardianto
Hendrik Segah Department of Forestry, University of Palangka Raya; Center for Development of Science, Technology, and Peatland Innovation (PPIIG) University of Palangka Raya
Yusuf Aguswan Department of Forestry, University of Palangka Raya; Center for Development of Science, Technology, and Peatland Innovation (PPIIG) University of Palangka Raya
Antonius Triyadi Department of Forestry, University of Palangka Raya
Grace Siska Department of Forestry, University of Palangka Raya

DOI:

https://doi.org/10.59032/jpsi.v1i1.7541

Keywords:

Sentinel-2 Images, Remote Sensing, Land Cover Change, GIS

Abstract

The Natural Laboratory of Peat Swamp Forest Area known as the Center For International Co-operation in Management of Trofical Peatland (CIMTROP) University of Palangka Raya has been set as specific research area of tropical peat swamps since 1993 and has a 50.000 hectares total area. Natural Laboratory of Peat Swamp Forest Area – CIMTROP University of Palangka Raya is peat and sandy land and as a catchment water area, that is crucial to preserve and protect its ecosystem. This research used remote sensing and GIS technology for land cover monitoring utilize Sentinel-2 images. The purpose of this research was to determine (1) land cover changes in the Natural Laboratory/CIMTROP UPR in 2016 and 2021, (2) The rate of land cover change in the Natural Laboratory/CIMTROP UPR and (3) the causes of land cover change in the Natural Laboratory/CIMTROP UPR. Land cover analysis by interpreting Sentinel-2 images in 2016 and 2021 used Supervised Classification Technique. Based on results of the analysis, there were five land cover classes: forest, shurbs, brush, swamp grass and open land. The accuracy testing process performed uses a confusion matrix method to produce mapping accuracy values for each land cover class. Between 2016 to 2021, the change in forest class decreased from 31.809,40 hectares (67,37%) to 29.888,10 hectares (63,30%). Contrary to the shrub class, there was and increase of 1.762,30 hectares (3,73%) to 2.585,20 hectares (5,47%). The increase in shrub area was due to forest reforestation, degradation and deforestation from the forest and land fires which occurred in previors years.

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