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Assessment of Land Surface Temperature and Drought Indices for the Klerksdorp-orkney-stilfontein-hartebeesfontein (kosh) Region

Year: 2020
Type: conference-paper
Abstract: Land surface temperature (LST) is a key calculator of local climate, vegetation growth, and urban change. Spatial and temporal variation of LST over land use/land cover (LULC) features results in changes in environmental factors that influence the characteristics of the land surface. In this study, some remote sensing techniques have been applied to Landsat 8 data acquired during summer and spring seasons of years 2019, 2018, and 2013 to estimate normalized difference vegetation index (NDVI), LST, normalized difference built-up index (NDBI), three drought indices viz. vegetation supply water index (VWSI), crop water supply index (CWSI) and temperature condition index (TCI) and analysed the spatial-temporal trends in LST among major LULC of an arid part of North West Province of South Africa known as Klerksdorp-Orkney-Stilfontein-Hartebeesfontein (KOSH) region. The results shows that there is a direct negative relationship between LST and NDVI. The study compared three drought indices for monitoring the water scarcity of the area. The finding also indicates a positive relationship between LST and CWSI that is relevant to soil moisture and NDBI. The findings from the study prove the capability of optical remote sensing in monitoring LST and drought in the region. The study reveals the usefulness of the remotely sensed data of Landsat 8 satellite in estimating LST and drought changes in the KOSH area. This study also tried to assess the usefulness of Landsat 8 bands in deriving vegetation index and drought indices for monitoring drought in the KOSH region during three years (2013, 2018 and 2019).
DOI: 10.25686/7230.2020.6.58828
Language: English
Open Access status: bronze
OpenAlex ID: W4400891798
FWCI:
Cites: 4
Cited by: 1
Related to: 10