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Individual Tree Segmentation in TropicalNatural Forest Based on Point CloudGenerated from UAV RGB Image Irlan, Irlan; Adzkia, Ulfa; Suhartono, Suhartono; Meliani, Meliani; Jenos, Alpri Sri; Bimantara, Teguh; A, Chairil
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/kx7bhn83

Abstract

Different techniques have been developed for segmenting individual trees using point clouds from UAVs and other remote sensing technologies. A more accurate and reasonably priced method is still required, nevertheless, especially for tropical natural forests. This study evaluates the accuracy of individual tree segmentation using point clouds derived from RGB images in Indonesian natural forests. Compared to other sensors like LiDAR, RGB-based point clouds are significantly more cost-effective. We employed a point cloud-based segmentation algorithm, which has demonstrated superior performance over raster-based or hybrid methods. The results show that this approach is feasible for segmenting individual trees, although it tends to produce over-segmentation. This was attributed to the constraints of incomplete ground measurements resulting from dense canopy cover. The method achieved an overall segmentation accuracy of r (0.68), p (0.76), and F (0.72). Tree position accuracy had an RMSE of 1.95 meters, while the RMSE for crown radius was 1.59 meters. Future work will focus on enhancing the quality of RGB point clouds and improving algorithms to increase segmentation accuracy in natural forests.
ANALISIS KEBERLANJUTAN DESA WISATA (STUDI KASUS DESA WISATA SEPAKUNG, KECAMATAN BANYUBIRU, KABUPATEN SEMARANG) Hafida, Siti Hadiyati Nur; Dewi, Ratih Puspita; kesumaningtyas, mayang arum; Nastiti, Bening Ati; Puspitasari, Windy; Masruroh, Laila; Meliani, Meliani; Satria, Alviedo Bagoes; Ali, Fierda Abdullah; Bima, Dadang Surya
Jurnal Ilmiah Pariwisata Vol 24 No 3 (2019): Jurnal Ilmiah Pariwisata
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Pariwisata Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30647/jip.v24i3.1313

Abstract

Tourism sustainability is a process to determine the impact and implementation of prevention in tourism activity. The potential tourism is rural tourism. In rural tourism, development will be very helpful in improving the economy and welfare of the community. Communities become active manage in participating rural tourism to boost the economy and their own welfare. Tourism activities will appreciate the potential of local and community-based resources. It is with such considerations in anticipation of changes in land ownership, social structure, and culture. One of the rural tourism in Indonesia is the Sepakung Village, that located in Banyubiru, Semarang District. This study used a quantitative research. This study was conducted to determine the sustainability of Sepakung based on the ecological, economic, and social dimensions. Collecting data using random sampling with 100 respondents. Sustainability analysis using Multi-Dimensional Scaling (MDS) in Rapfish method. The results showed that the sustainability of the ecological, economic, and social dimensions have higher indeks, that is 80.8; 70.3 and 98.9. Need a cooperation between communities, village government and private organization to develop rural tourism so, the management in rural tourism will be good and can help the community to improve their welfare.