Analysis of Vegetation Density and Land Surface Temperature Using Landsat Image in the Forest Area of KPHP Unit XII Batanghari
- 10.2991/aer.k.210825.020How to use a DOI?
- Forest Management Unit, NDVI, LST, Landsat Image
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.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Eva Achmad AU - Rince Muryunika PY - 2021 DA - 2021/08/26 TI - Analysis of Vegetation Density and Land Surface Temperature Using Landsat Image in the Forest Area of KPHP Unit XII Batanghari BT - Proceedings of the 3rd Green Development International Conference (GDIC 2020) PB - Atlantis Press SP - 109 EP - 113 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.210825.020 DO - 10.2991/aer.k.210825.020 ID - Achmad2021 ER -