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Proceedings Paper

Utilization of UAV technology for vegetation cover mapping using object based image analysis in restoration area of Gunung Halimun Salak National Park, Indonesia
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Paper Abstract

Halimun Salak Corridor (HSC) is an important area that connects the Mount Halimun and Mount Salak, and has important role of animals movements. As the corridor have become degraded over the last ten years, ecosystem restoration action is required. In order to monitor that restoration program, then, it is necessary to mapping the vegetation cover in the corridor. Unmanned Aerial Vehicle (UAV) technology is an alternative technology that can be used to provide a detail vegetation cover map based on a high resolution image. This research aim to mapping vegetation cover based on a combination of structural characteristics of height and vegetation indices by using Object Based Image Analysis (OBIA) method. Structural characteristics was defined from the canopy height model (CHM) using the Structure from Motion (SfM) method, meanwhile, several spectral indices (NDVI, NDWI, and SAVI) were produced from multispectral images. We applied Object Based Image Analysis (OBIA) to classify vegetation cover based on their structure and spectral characteristics. The results shown that the most dominant vegetation cover is the tree class, which is 70.74 ha (77.31 % of the 91.5 ha mapped area) and accuracy test revealed 73.11% of overall accuracy.

Paper Details

Date Published: 24 December 2019
PDF: 9 pages
Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 1137221 (24 December 2019); doi: 10.1117/12.2540566
Show Author Affiliations
Azwar Azmillah Sujaswara, IPB Univ. (Indonesia)
Yudi Setiawan, IPB Univ. (Indonesia)
Lilik Budi Prasetyo, IPB Univ. (Indonesia)
Sahid A. Hudjimartsu, IPB Univ. (Indonesia)
Ibn Khaldun Univ. (Indonesia)
Arif K. Wijayanto, IPB Univ. (Indonesia)


Published in SPIE Proceedings Vol. 11372:
Sixth International Symposium on LAPAN-IPB Satellite
Yudi Setiawan; Lilik Budi Prasetyo; Tien Dat Pham; Kasturi Devi Kanniah; Yuji Murayama; Kohei Arai; Gay Jane P. Perez, Editor(s)

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