Research Article
Mapping The Drought Area Through Landsat 8 OLI/TIRS With LST Model SWA-S Method in Banyuwangi Regency
@INPROCEEDINGS{10.4108/eai.9-9-2021.2314836, author={Yesi Anita Sari and I Putu Putu Sriartha and A Sediyo Adi Nugraha}, title={Mapping The Drought Area Through Landsat 8 OLI/TIRS With LST Model SWA-S Method in Banyuwangi Regency}, proceedings={Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia}, publisher={EAI}, proceedings_a={ICLSSE}, year={2021}, month={12}, keywords={drought landsat 8 lst ndvi}, doi={10.4108/eai.9-9-2021.2314836} }- Yesi Anita Sari
I Putu Putu Sriartha
A Sediyo Adi Nugraha
Year: 2021
Mapping The Drought Area Through Landsat 8 OLI/TIRS With LST Model SWA-S Method in Banyuwangi Regency
ICLSSE
EAI
DOI: 10.4108/eai.9-9-2021.2314836
Abstract
Drought-affected areas are critical to disaster reduction. The objective of the research is to discover how the drought spread with Landsat 8 OLI images, in particular by identifying the Land Surface Temperature (LST). The LST method involves determining vegetation emissions, known as the Normalized Dryness Vegetation Index (NDVI). The results showed that the drought location based on differences in land surface temperatures was in coastal areas and residential areas such as Banyuwangi and Muncar with 321-329 degrees Kelvin. Then in areas with Hills, topography shows the potential for drought with an area temperature of 308-321 degrees Kelvin. Furthermore, the field survey of temperature distribution accuracy-test revealed 90%. Based on these results, it can be concluded that LST can be used to identify drought with Landsat 8 OLI image
