Research Article
Utilization of Remote Sensing and GIS Applications for Detecting Vegetation Density and Land Surface Temperature Using Landsat 8 Imagery (Banyuwangi Regency Case Study in 2019)
@INPROCEEDINGS{10.4108/eai.28-10-2022.2326379, author={Made Dwipayana and I Gede Putu Eka Suryana}, title={Utilization of Remote Sensing and GIS Applications for Detecting Vegetation Density and Land Surface Temperature Using Landsat 8 Imagery (Banyuwangi Regency Case Study in 2019)}, proceedings={Proceedings of the 4th International Conference on Law, Social Sciences, and Education, ICLSSE 2022, 28 October 2022, Singaraja, Bali, Indonesia}, publisher={EAI}, proceedings_a={ICLSSE}, year={2023}, month={1}, keywords={ndvi lst landsat 8 gis}, doi={10.4108/eai.28-10-2022.2326379} }- Made Dwipayana
I Gede Putu Eka Suryana
Year: 2023
Utilization of Remote Sensing and GIS Applications for Detecting Vegetation Density and Land Surface Temperature Using Landsat 8 Imagery (Banyuwangi Regency Case Study in 2019)
ICLSSE
EAI
DOI: 10.4108/eai.28-10-2022.2326379
Abstract
This study aimed to determine the value of vegetation density and land surface temperature in Banyuwangi Regency in 2019. Vegetation, which forms the forest, is one of the components that affect the climate in an area (microclimate). Landsat 8 has been widely used to study vegetation density and land surface temperature. Vegetation density was obtained from the analysis of Landsat 8 imagery with GIS using the Normalized Dryness Vegetation Index (NDVI) method. NDVI utilizes the red and Infrared channels, and land surface temperature values take advantage of the thermal band radiation. The case study for this research is Banyuwangi Regency. The NDVI value obtained was in the range of 0.085666 to 0.644453. The surface temperature of the land itself is between 6.17 - 43.45 0C. The correlation of NDVI value with land surface temperature is 0.989637. This proves that the dense vegetation, the lower the land surface temperature.
