This Author published in this journals
All Journal MEDIA KONSERVASI
Ananta Fikri Ramadya
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Detection of Tree Cover Dynamic on Belitung Island using Random Forest Regression Aurellia, Najla Natasya; Putra, Tubagus Nur Rahmat; Wakano, Qashdina Saimima; Ananta Fikri Ramadya; Desenaldo, Rania Alifa; Dharmawan, Irwan Ary
Media Konservasi Vol. 30 No. 2 (2025): Media Konservasi Vol 30 No 2 May 2025
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.30.2.250

Abstract

Belitung Island faces a series of interconnected environmental problems, particularly in forest conservation. Protected forest areas play a crucial role in supporting life but their sustainability is threatened by human activities such as mining exploitation and forest conversion for plantations. Therefore, protecting and restoring protected forest areas are priorities for maintaining the ecosystem's sustainability on Belitung Island. An evaluation was conducted to assess the ecological conditions of conservation areas on Belitung Island by visualizing changes in protected land cover to assist conservation efforts. In this study, the evaluation system for vegetation cover conditions on Belitung Island and Gunung Lalang Grand Forest Park used random forest (RF) regression algorithms and remote sensing data. Satellite image data were used to determine the extent of vegetation cover on Belitung Island, utilizing combinations of bands from Landsat Satellites and MODIS Percent Tree Cover. Satellite images from 2013 to 2023 were used for comparison. This evaluation revealed several class changes in vegetation cover on Belitung Island based on percent tree cover classification over the years serving as an evaluation of land use in the areas under review. The R-squared value of 0.73 indicated that the samples used to predict land cover demonstrated a relatively high level of accuracy. This study could serve as an effective means of predicting and estimating large-scale vegetation changes, as well as a monitoring tool for conservation areas on Belitung Island.