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Estimating farm dam storage using SPOT imagery

Includes abstract.

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Bibliographic Details
Main Author: Petersen, Nicole Jade
Other Authors: Winter, Kevin
Format: Thesis
Language:English
Published: Department of Environmental and Geographical Science 2015
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access_status_str Open Access
author Petersen, Nicole Jade
author2 Winter, Kevin
author_browse Petersen, Nicole Jade
Winter, Kevin
author_facet Winter, Kevin
Petersen, Nicole Jade
author_sort Petersen, Nicole Jade
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/11341
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:59.204Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Environmental and Geographical Science
publisherStr Department of Environmental and Geographical Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11341 Estimating farm dam storage using SPOT imagery Petersen, Nicole Jade Winter, Kevin Environmental Management Includes abstract. Includes bibliographical references. The objective of this study is to establish a methodology in which remote sensing can be used to support the monitoring of water resources. SPOT XS imagery and object-oriented classification was used to identify farm dams and their surface area. Two equations applied to determining the capacity of dams were used to convert surface area to volume. The results showed a similarity between fieldwork and object-oriented classification data for surface area. Overall, there appears to be a strong positive correlation between object-oriented classification and unsupervised classification. The correlation between object-oriented classification and supervised classification ranged from strong positive association to little or no association. This study concludes that remote sensing is a useful tool in identifying water bodies and generating an estimate of volume stored. 2015-01-05T06:45:17Z 2015-01-05T06:45:17Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/11341 eng application/pdf Department of Environmental and Geographical Science Faculty of Science University of Cape Town
spellingShingle Environmental Management
Petersen, Nicole Jade
Estimating farm dam storage using SPOT imagery
thesis_degree_str Master's
title Estimating farm dam storage using SPOT imagery
title_full Estimating farm dam storage using SPOT imagery
title_fullStr Estimating farm dam storage using SPOT imagery
title_full_unstemmed Estimating farm dam storage using SPOT imagery
title_short Estimating farm dam storage using SPOT imagery
title_sort estimating farm dam storage using spot imagery
topic Environmental Management
url http://hdl.handle.net/11427/11341
work_keys_str_mv AT petersennicolejade estimatingfarmdamstorageusingspotimagery