遥感技术:基于土地利用的植被指数分析

Dasrizal Dasrizal, R. Rahmi, A. Rezki, A. Z. P. Ulni, F. Farida
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引用次数: 0

摘要

本研究旨在确定:1)索洛克县2016年土地利用分类;2)植被密度(NDVI); 3)研究区植被密度(NDVI)。本研究使用的数据为2016年Landsat 8 OLI影像的植被密度数据和面积数据。本研究使用的方法是通过计算植被密度指数来解译Landsat 8 OLI图像,或者通过计算植物反射红光的近红外得到归一化植被指数(NDVI)。NDVI值是通过比较近红外(NIR)和红外(Red)数据得到的。NDVI为归一化植被指数值,NIR为5波段,Red为Landsat影像8中的4波段。利用地理信息系统(GIS)的分析技术,利用NDVI计算结果确定植被冠层密度值,并将NDVI分类值重新划分为稀有、中等和致密3类。结果表明:2016年确定的土地利用类型多达9种。土地用途包括原生林、次生林、水田、聚落、混合种植园、农田、水体、灌木和种植园。使用最广泛的是Primary Forest。索洛摄政的植被密度水平从稀有、中等和紧密密度水平不等。水体面积为6,690 ha(1.98%),植被密度为79,208 ha(23.49%),植被密度为77,098(22.86%),密度为174,223 ha(51.66%)。关键词:NDVI,土地利用,遥感,Landsat 8 OLI
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote Sensing Technology: Vegetation Index Analysis Based On Landuse
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%). Keyword: NDVI, Landuse, Remote Sensing, Landsat 8 OLI
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