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All Journal Jurnal Hutan Tropika
Noor Hadi, Wirawan
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Agriculture, Biological Sciences & Forestry

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Dinamika Kerapatan Vegetasi di Kawasan Hutan Dengan Tujuan Khusus Universitas Lambung Mangkurat Menggunakan Indeks EVI (2019–2024): Vegetation Density Dynamics in the Special Purpose Forest Area of Lambung Mangkurat University Using Enhanced Vegetation Index (2019–2024) Rosadi, Hadi; Nur Shiba, Yasinta; Noor Hadi, Wirawan
JURNAL HUTAN TROPIKA Vol 20 No 2 (2025): Volume 20 Nomor 2 Tahun 2025
Publisher : Jurusan Kehutanan, Fakultas Pertanian Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/jht.v20i2.23091

Abstract

The Special Purpose Forest Area (KHDTK) of Lambung Mangkurat University plays a vital role as a natural laboratory for research, education, and conservation. Monitoring vegetation cover is essential to evaluate the effectiveness of sustainable forest management. This study analyzes the temporal and spatial dynamics of vegetation cover in KHDTK ULM during 2019–2024 using the Enhanced Vegetation Index (EVI) derived from Google Earth Engine (GEE) and assesses the net change over the period. Sentinel-2 imagery was processed into annual composites in GEE and analyzed through EVI classification combined with spatial analysis in ArcGIS. The results show that mean EVI increased from 0.438 in 2019 to 0.529 in 2024, representing a 20.77% rise. Dense vegetation expanded by +1163.26 ha (+111.74%), while medium and non-vegetation classes declined significantly. These changes indicate a major transition from medium to dense vegetation, particularly in the forest core, where as reductions were concentrated along edges dominated by grasslands and open areas. The findings demonstrate that conservation, rehabilitation, and management efforts in KHDTK ULM have effectively enhanced forest recovery and provide a scientific basis for adaptive and sustainable forest education management.
Evaluasi Indeks Vegetasi Merah Hijau Biru dari Citra UAV untuk Pemantauan Tutupan Tajuk pada Area Revegetasi Pascatambang Batubara di Kalimantan Selatan: Evaluation of Red Green Blue Vegetation Index (RGBVI) from UAV Imagery for Monitoring Canopy Cover in Post Coal Mining Revegetation Areas of South Kalimantan Noor Hadi, Wirawan; Satriadi, Trisnu
JURNAL HUTAN TROPIKA Vol 20 No 2 (2025): Volume 20 Nomor 2 Tahun 2025
Publisher : Jurusan Kehutanan, Fakultas Pertanian Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/jht.v20i2.23206

Abstract

The success of revegetation in post-coal mining areas is generally evaluated through manual field surveys, which are time-consuming, costly, and often subjective. This study offers an alternative quantitative approach using the Red-Green-Blue Vegetation Index (RGBVI) calculated from high-resolution drone imagery to monitor canopy cover in coal mine reclamation areas. The research was conducted on a 1-hectare reclamation site located in Tabalong District, South Kalimantan, Indonesia. UAV flights were carried out using a DJI Phantom 4 Pro at an altitude of 100 meters and analyzed with QGIS 3.34. Vegetation cover was classified using the RGBVI formula with a threshold value of 0.30 and validated through field measurements of canopy diameter. The results showed that canopy cover derived from image analysis reached 69%, while the ground check data indicated 75%, yielding an accuracy level of 92%. The RGBVI effectively distinguished between vegetated and non-vegetated areas and demonstrated a strong correlation with field data. These findings confirm that RGB drone imagery is a reliable, efficient, and low-cost ecological monitoring tool that supports the development of digital reclamation evaluation systems in tropical mining regions.
Co-Authors Nur Shiba, Yasinta Rosadi, Hadi Trisnu Satriadi