Remote Sensing Technology: Vegetation Index Analysis Based On Landuse

Dasrizal, Dasrizal and Rahmi, Rahmi and Rezki, A and Ulni, A and Farida, Farida (2016) Remote Sensing Technology: Vegetation Index Analysis Based On Landuse. In: First International Conference on Advances in Education, Humanities, and Language, ICEL 2019, Malang, Indonesia, 23-24 March 2019.

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Abstract

This study aims to determine: 1) Land use classification in 2016 in Solok Regency, 2) vegetation density (NDVI) and 3) vegetation density (NDVI) in the research area. The data used in this research is the density data of vegetation and the area that is taken from the Landsat 8 OLI image in 2016. The

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 12:14
Last Modified: 17 Apr 2026 14:11
URI: http://eprints.eai.eu/id/eprint/23554

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