Laura, Cecilinia Tika and Darmawan, Arief and Hilmanto, Rudi (2019) Deteksi Tutupan Repong Damar di Pesisir Barat Lampung Menggunakan Citra Satelit Penginderaan Jauh. Jurnal Hutan Tropis, 7 (3). pp. 247-260. ISSN 2337-7992

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Abstract

Repong damar is a typical agroforestry system found in the west coast of Lampung that has provided economic value for the people for generations. Ecologically, its role as a human life support system is also undeniable, because physically, it is similar to natural forests. This research was conducted to determine the most accurate method of detecting repong-damar cover using remote sensing data, so that continuous monitoring can be carried out. Three methods for detecting repong-damar cover from Landsat 8 imagery were evaluated, namely Maximum Likelihood Classification (MLC), Object Oriented Classification (OOC), Vegetation Indices (Normalized Difference Vegetation Index/ NDVI, Normalized Difference Water Index/ NDWI and Enhanced Vegetation Index/ EVI) through a comparison of the error matrix from the contingency table. The results showed that the overall accuracy of the MLC, OOC and Vegetation Indices using EVI algorithm were 92.16%, 92.27% and 83.33%, respectively. Of the three methods, the OOC method has the highest accuracy.

Item Type: Article
Subjects: S Agriculture > SD Forestry
Divisions: Fakultas Pertanian (FP) > Prodi Kehutanan
Depositing User: Dr. Arief Darmawan
Date Deposited: 17 Feb 2020 03:47
Last Modified: 17 Feb 2020 03:47
URI: http://repository.lppm.unila.ac.id/id/eprint/17974

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