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dc.contributor.authorSsebaggala, Michael
dc.date.accessioned2021-04-30T15:09:11Z
dc.date.available2021-04-30T15:09:11Z
dc.date.issued2021-04-30
dc.identifier.citationSSEBAGGALA (2021). Landslide susceptibility analysis for Bududa District using D-InSAR techniqueen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/10479
dc.descriptionA project report submittted in partial fulfillment for the award of a Bachelor's degree in Land Surveying and Geomatics of Makerere University.en_US
dc.description.abstractLandslide susceptibility analysis seeks to establish the risk of an area’s likelihood to be affected by landslides. This can be estimated through ground deformation measurements using DInSAR or GPS. DInSAR is all-weather, penetrates tree canopies etc. GPS is highly accurate at high sampling and temporal monitoring. It is critical to measure ground deformation in landslide prone areas because prior to a landslide occurrence, ground deformation happens incrementally. Different methods have been applied and these include GPS and DInSAR. These have different strengths and weaknesses. This study aimed at comparing the 2 techniques to improve ground deformation measurements in Bududa. I found out that DInSAR closely approximates the results obtained by GPS.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectLandslideen_US
dc.subjectGPSen_US
dc.subjectDInSARen_US
dc.subjectSBASen_US
dc.titleLandslide susceptibility analysis for Bududa District using D-InSAR techniqueen_US
dc.typeThesisen_US


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