Remote Sensing Technology: Vegetation Index Analysis Based On Landuse

Dasrizal, Dasrizal and Rahmi, Rahmi and Afrital, Rizki and Farida, Farida (2019) Remote Sensing Technology: Vegetation Index Analysis Based On Landuse. Prossiding ICEL. pp. 1-8.

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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 method used in this study is Landsat 8 OLI image interpretation by calculating the index of vegetation density or Normalized Difference Vegetation Index (NDVI) obtained by the calculation of near infrared with red reflected by the plant. The NDVI value is obtained by comparing near-infrared (NIR) and Red data. NDVI is the value of Normalized Difference Vegetation Index, NIR is band 5 and Red is from band 4 in Landsat image 8. Technique of analysis using Geography Information System (GIS), by determining value of vegetation canopy density using the result from NDVI calculation, then the NDVI class values are reclassified into three classes, which are rare, medium and tight density. The results showed: In 2016 identified there are as many as 9 types of land use. The land uses are Primary Forest, Secondary Forest, Paddy Field, Settlements, Mixed Plantations, Crop Fields, Water Bodies, Bushes, and Plantations. The most widespread use is Primary Forest. The level of vegetation density in Solok Regency ranges from rare, medium, and tight density levels. Water Bodies have an area of 6,690 ha (1.98%), vegetation having a rare density of 79,208 ha (23.49%), vegetation with a medium density of 77,098 (22.86%), and for density the meeting has an area of 174,223 ha (51.66%)

Item Type: Article
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: Program Studi > Pendidikan Geografi
Program Studi > Pendidikan Matematika
Depositing User: Dra. Rahmi
Date Deposited: 16 Dec 2019 04:42
Last Modified: 16 Dec 2019 04:44

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