Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin

Simple item page
dc.contributor.advisorHull, Simon
dc.contributor.advisorSmit Julian
dc.contributor.authorLilimu, Maanda Danson
dc.date.accessioned2024-05-27T08:49:20Z
dc.date.available2024-05-27T08:49:20Z
dc.date.issued2023
dc.date.updated2024-05-10T11:41:51Z
dc.description.abstractLand use activities and land cover (LULC) changes have been widely acknowledged as the main drivers of environmental change at all spatial-temporal scales in some South African dam basins. The consequence of these land use activities causes encroachments, land cover changes, sediment deposits, deforestation, and severe flood damages, which reduces water storage capacity and economic tourism activities in dam basins. The challenges of land use activities have highlighted the need to monitor LULC changes in the Nandoni Dam basin. Remote sensing and Geographical Information Systems (GIS) methods offer the possibility of monitoring LULC changes, which could help dam basin management agencies make spatio-temporal decisions to preserve water storage capacity in dam basins. This study investigated the Nandoni Dam basin's LULC changes using Landsat TM 1997, 2005, and ETM+ 2021 images. The six LULC classes classified are water bodies, forests, floodplains, built-up land, bare land, and agricultural land. The images were successfully delineated using GIS zoning boundary data and then classified through a supervised maximum likelihood classifier. The results of the classified images showed significant changes in all classes, with built-up land being the major encroachment into the dam basin, covering 18.28% in 1997, 21.46% in 2005, and 19.12% in 2021. These findings provide considerable spatio-temporal information on factors causing LULC change patterns and improve the understanding of the amount and rate of encroachment of the dam basin. The results are recommended to the landowners, water authorities and the government for monitoring LULC change patterns in the Nandoni Dam basin. Keywords: remote sensing, GIS, land use, land cover, Nandoni Dam basin
dc.identifier.apacitationLilimu, M. D. (2023). <i>Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin</i>. (). ,Faculty of Engineering and the Built Environment ,School of Architecture, Planning and Geomatics. Retrieved from http://hdl.handle.net/11427/39738en_ZA
dc.identifier.chicagocitationLilimu, Maanda Danson. <i>"Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin."</i> ., ,Faculty of Engineering and the Built Environment ,School of Architecture, Planning and Geomatics, 2023. http://hdl.handle.net/11427/39738en_ZA
dc.identifier.citationLilimu, M.D. 2023. Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin. . ,Faculty of Engineering and the Built Environment ,School of Architecture, Planning and Geomatics. http://hdl.handle.net/11427/39738en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Lilimu, Maanda Danson AB - Land use activities and land cover (LULC) changes have been widely acknowledged as the main drivers of environmental change at all spatial-temporal scales in some South African dam basins. The consequence of these land use activities causes encroachments, land cover changes, sediment deposits, deforestation, and severe flood damages, which reduces water storage capacity and economic tourism activities in dam basins. The challenges of land use activities have highlighted the need to monitor LULC changes in the Nandoni Dam basin. Remote sensing and Geographical Information Systems (GIS) methods offer the possibility of monitoring LULC changes, which could help dam basin management agencies make spatio-temporal decisions to preserve water storage capacity in dam basins. This study investigated the Nandoni Dam basin's LULC changes using Landsat TM 1997, 2005, and ETM+ 2021 images. The six LULC classes classified are water bodies, forests, floodplains, built-up land, bare land, and agricultural land. The images were successfully delineated using GIS zoning boundary data and then classified through a supervised maximum likelihood classifier. The results of the classified images showed significant changes in all classes, with built-up land being the major encroachment into the dam basin, covering 18.28% in 1997, 21.46% in 2005, and 19.12% in 2021. These findings provide considerable spatio-temporal information on factors causing LULC change patterns and improve the understanding of the amount and rate of encroachment of the dam basin. The results are recommended to the landowners, water authorities and the government for monitoring LULC change patterns in the Nandoni Dam basin. Keywords: remote sensing, GIS, land use, land cover, Nandoni Dam basin DA - 2023 DB - OpenUCT DP - University of Cape Town KW - Engineering LK - https://open.uct.ac.za PY - 2023 T1 - Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin TI - Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin UR - http://hdl.handle.net/11427/39738 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/39738
dc.identifier.vancouvercitationLilimu MD. Application of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin. []. ,Faculty of Engineering and the Built Environment ,School of Architecture, Planning and Geomatics, 2023 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/39738en_ZA
dc.language.rfc3066Eng
dc.publisher.departmentSchool of Architecture, Planning and Geomatics
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.subjectEngineering
dc.titleApplication of Remote Sensing and GIS in Monitoring Land Use and Land Cover Change in the Nandoni Dam Basin
dc.typeThesis / Dissertation
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSc
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_2023_lilimu maanda danson.pdf
Size:
2.89 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
PhD / Doctoral