{"title":"Mapping The Drought Area Through Landsat 8 OLI/TIRS With LST Model SWA-S Method in Banyuwangi Regency","authors":"Yesi Anita Sari, I. Sriartha, A. S. Adi Nugraha","doi":"10.4108/eai.9-9-2021.2314836","DOIUrl":null,"url":null,"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","PeriodicalId":123487,"journal":{"name":"Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.9-9-2021.2314836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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
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