Comparison of Landsat 8 and sentinel 3 in monitoring of agricultural drought. A study of Soroti district

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dc.contributor.author Kaluba, Peter
dc.date.accessioned 2021-09-10T10:37:35Z
dc.date.available 2021-09-10T10:37:35Z
dc.date.issued 2021-08
dc.description Submitted to the College of Engineering Design Art and Technology Department of Geomatics and Land Management en_US
dc.description.abstract The aim of this research was to compare Landsat 8 and sentinel 3 images when monitoring agricultural drought in Soroti district. This research was based on the determination of the three agricultural drought indices i.e. Temperature Condition Index (TCI), Vegetation Condition Index (VCI) and Vegetation Health Index (VHI) which were produced from Land Surface Temperature (LST) and Normalised Vegetation Index (NDVI) of the downloaded images of both Landsat 8 and sentinel 3 with VHI being the basic index in monitoring agricultural drought. The images were processed using ArcGIS and SNAP soft wares for Landsat 8 and sentinel 3 images respectively. Monthly rain fall totals of Soroti district of year 2018 was used for validation and results showed that sentinel 3 images gave a better correlation of -0.68 when compared with rainfall values than Landsat images which had -0.443. The conclusion was that sentinel 3 is a better indicator of agricultural drought and hence better that Landsat 8 in its monitoring. en_US
dc.identifier.uri http://hdl.handle.net/20.500.12281/10925
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Landasat en_US
dc.subject Agricultural drought en_US
dc.subject Drought en_US
dc.title Comparison of Landsat 8 and sentinel 3 in monitoring of agricultural drought. A study of Soroti district en_US
dc.type Thesis en_US
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