Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing
Thesis (PhD)--Stellenbosch University, 2023.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Stellenbosch : Stellenbosch University
2023
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613757219274752 |
|---|---|
| access_status_str | Open Access |
| author | Kavhu, Blessing |
| author2 | Mashimbye, Zama Eric |
| author_browse | Kavhu, Blessing Mashimbye, Zama Eric |
| author_facet | Mashimbye, Zama Eric Kavhu, Blessing |
| author_sort | Kavhu, Blessing |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (PhD)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/129424 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:41:12.661Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/129424 Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing Kavhu, Blessing Mashimbye, Zama Eric Luvuno, Linda Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Geography & Environmental Studies. Land use/cover change Transboundary basins Machine learning Deep learning Social-ecological Systems Socio-economic developments Koppen Geiger climate zones Recursive feature elimination Circuit theory Priority management areas Thesis (PhD)--Stellenbosch University, 2023. Land use and cover (LULC) changes, primarily resulting from extensive human development in transboundary basins, present substantial threats to conserving natural resources. This leads to the loss of biodiversity, disruptions in livelihoods, and diminished supply of ecosystem services. Existing monitoring techniques in these basins fall short in accurately identifying LULC classes, comprehending change drivers, pinpointing high-priority intervention areas, forecasting the pathways of LULC change, and assessing the effects of LULC alterations on shared surface water resources. To tackle these challenges, accurate methods are essential for making reliable predictions using limited field data. This will enable the creation of dependable, cost-effective strategies for LULC monitoring, resolving conflicts between nations, and ensuring sustainable utilization of shared resources. This dissertation proposes an approach of integrating remote sensing and geospatial modelling to improve the monitoring of natural resources, particularly water resources. The aim of this study was to integrate remote sensing and geospatial modelling to investigate the drivers and impact of LULC change on natural resources in the Okavango basin, with a particular focus on water resources. To achieve this aim, the following objectives were delineated: 1) review literature on LULC change drivers and impacts on water resources in transboundary river basins; 2) assess the effectiveness of climate-based regionalization and spectral indices in improving LULC classification in the Okavango basin; 3) analyze the trajectory of LULC change in the Okavango basin from 1996 to 2020; 4) explore ensemble machine learning models to identify social-ecological drivers of LULC change in the basin and evaluate their predictive performance; 5) evaluate spatial patterns of priority zones for LULC change management in the Okavango basin using ensemble machine learning models; 6) investigate the Circuit Theory model's capability to predict the connectivity and spread pathways of LULC change in the basin; and 7) to model the impact of LULC change on surface water availability and distribution in the Okavango basin using the InVEST model. Doctoral 2023-11-27T14:34:41Z 2024-02-20T11:07:26Z 2023-11-27T14:34:41Z 2024-02-20T11:07:26Z 2023-11-27 Thesis https://scholar.sun.ac.za/handle/10019.1/129424 en Stellenbosch University 328 pages : ill. application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Land use/cover change Transboundary basins Machine learning Deep learning Social-ecological Systems Socio-economic developments Koppen Geiger climate zones Recursive feature elimination Circuit theory Priority management areas Kavhu, Blessing Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing |
| title | Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing |
| title_full | Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing |
| title_fullStr | Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing |
| title_full_unstemmed | Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing |
| title_short | Investigating the impact and drivers of land use/cover change on surface water resources in the Okavango basin using remote sensing |
| title_sort | investigating the impact and drivers of land use cover change on surface water resources in the okavango basin using remote sensing |
| topic | Land use/cover change Transboundary basins Machine learning Deep learning Social-ecological Systems Socio-economic developments Koppen Geiger climate zones Recursive feature elimination Circuit theory Priority management areas |
| url | https://scholar.sun.ac.za/handle/10019.1/129424 |
| work_keys_str_mv | AT kavhublessing investigatingtheimpactanddriversoflandusecoverchangeonsurfacewaterresourcesintheokavangobasinusingremotesensing |