Mardianis, Reza and Razi, Pakhrur and Yuta, Izumi (2022) Mapping The Rate of Deforestation in South Kalimantan Using Landsat Imagery. Geores: Geoscience and Remote Sensing Technology, 30 (2). pp. 1-15. ISSN 2963-7767
2023-reza-mardianis-new-template.pdf
Download (423kB)
Abstract
South Kalimantan Province is an area that has a very large forest area, but this forest continues to decrease
due to deforestation. Deforestation continues to be one of the factors causing flooding. Flooding in this area
is a recurring disaster that must be overcome. For this reason, it is necessary to calculate changes in forest
area so that forest processing can be carried out properly and that banners can be overcome. In this study,
the rate of deforestation was calculated using a map of land use change in South Kalimantan Province
through the google earth engine platform using Landsat imagery. The method in this research is supervised
classification, which is taking polygon samples in land use classification. The image classification
algorithm with javascript on the google earth engine platform will classify the same pixel values into the
same classification based on the samples that have been made. Through this platform, images in geo.tif
format will be obtained. then the image is processed using ArcGIS software to process the image into a map
and the area of each classification. This map was then overlaid between 2015, 2018, and 2020 to see the
changes. Based on the results of the study, it was found that there was a change in land use, especially in
the forest class and community plantations. Forests decreased to 311,255 hectares with a decreasing rate of
62,251 hectares every year, while community plantations increased by 328,858 hectares with an increase of
65,771 hectares every year.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Deforestation, Land Use, South Kalimantan |
Subjects: | Q Science > QC Physics |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Fisika-S1 |
Depositing User: | Wiwi Sartika S.Sos |
Date Deposited: | 03 Feb 2025 07:48 |
Last Modified: | 03 Feb 2025 07:52 |
URI: | https://repository.unp.ac.id/id/eprint/620 |