Mapping The Drought Area Through Landsat 8 OLI/TIRS With LST Model SWA-S Method in Banyuwangi Regency

Yesi Anita Sari, I. Sriartha, A. S. Adi Nugraha
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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
基于Landsat 8 OLI/TIRS和LST模式swas方法的Banyuwangi地区旱区制图
. 受干旱影响的地区对减少灾害至关重要。该研究的目的是利用Landsat 8 OLI图像,特别是通过识别地表温度(LST)来发现干旱是如何传播的。LST方法包括确定植被排放,即标准化干旱植被指数(NDVI)。结果表明:基于地表温度差异的干旱位置主要集中在沿海地区和Banyuwangi、Muncar等居民区,温度范围为321 ~ 329℃;然后在丘陵地区,地形显示干旱的可能性,区域温度为308-321开尔文。现场温度分布测试精度达90%。综上所述,陆地温度可用于Landsat 8 OLI影像的干旱识别
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