基于Landsat影像的巴当哈里KPHP 12单元林区植被密度和地表温度分析

Eva Achmad, R. Muryunika
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引用次数: 0

摘要

气候变化是由于人类活动导致温室气体(GHG)排放而导致的全球变暖造成的。以陆地为基础的人类活动导致密集植被,特别是林分向低植被密度(非森林)的土地覆盖的变化。土地覆盖的变化引起地表温度和湿度条件的变化。在过去的二十年里,KPHP第十二单元Batanghari的森林面积在土地覆盖方面发生了重大变化。利用遥感数据和Landsat 8卫星影像,分析了植被密度(NDVI)和地表温度(LST)的空间分布特征。陆地卫星图像有两个热带,可以对它们进行分析,以获得扫描地球时现有陆地表面温度的信息。结果表明:植被密度指数(NDVI)在0.132 ~ 0.866之间。NDVI值越高,植被密度越高。KPHP Unit XII Batanghari的地表温度值变化较大,低温范围为18-25°C,低温地区有次生林和人工林、农业等其他植被区域的土地覆盖等级。同时,高温值是指开放或无植被的土地覆盖等级,温度范围为28-52℃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Vegetation Density and Land Surface Temperature Using Landsat Image in the Forest Area of KPHP Unit XII Batanghari
Climate change is caused by global warming due to human activities that contribute to greenhouse gas (GHG) emissions. Land-based human activities result in changes in dense vegetation, especially forest stands to land cover with low vegetation density (non-forest). Changes in land cover cause changes in surface temperature and humidity conditions. The forest area in KPHP Unit XII Batanghari has undergone significant changes in land cover over the last twenty years. This study aimed to analyse the spatial distribution of vegetation density (NDVI) and land surface temperature (LST) using remote sensing data and in this study, Landsat 8 satellite imagery was assessed. Landsat images have two thermal bands and they can be analysed to obtain information about the existing land surface temperature at the time when the earth being scanned. The results showed that the vegetation density index or NDVI ranged from 0.132 to 0.866. The higher the NDVI value, the higher the vegetation density. The value of LST in KPHP Unit XII Batanghari varied, with a range of LST with a low temperature value of 18-25°C, where low temperatures have land cover classes in the form of secondary forest and other vegetated areas such as plantations and agriculture. Meanwhile, high temperature values are areas with open or non-vegetated land cover classes with a temperature range of 28-52 ° C.
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