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Vegetation change detection using remote sensing and GIS in Makhado Town, Limpopo Province, South Africa

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dc.contributor.advisor Nethengwe, N. S.
dc.contributor.advisor Dondofema, F.
dc.contributor.author Zongho, Kom
dc.date.accessioned 2016-01-29T09:03:25Z
dc.date.available 2016-01-29T09:03:25Z
dc.date.issued 2016-01-29
dc.identifier.uri http://hdl.handle.net/11602/341
dc.description MEVNSC
dc.description Department of Geography and Geo-Information Sciences
dc.description.abstract Vegetation is one of the most important renewable natural resources to play a role in the preservation of the environment and biodiversity. Various land use activities such as urbanization, population growth and other anthropogenic activities, as well as climate change have been some of the major drivers which alter vegetation cover and contribute to biodiversity loss. This research study uses remote sensing and Geographical Information System to quantify vegetation and land cover change in Makhado over a five-year period (2007 - 2012). This study used multi-temporal satellite image data to identify the dynamic pattern of vegetation change and the negative impacts it has on the environment. The research uses remote sensing techniques and GIS software to analyse data. In addition, satellite imageries were used to study the spatial and temporal distribution of vegetation. The results of the study show that settlement areas have been on a stable positive and mostly uncontrolled expansion from 17.73% of the study area in 2007 to 30.52% in 2012. Vegetation on the other hand, has been on a steady decline, from 10.65% in 2007 to 5.92% in 2012, as well as the ecosystems quality on which biodiversity depends for their existence and to a greater extent the climate conditions, with an increase in temperature, methane, nitrous oxide and carbon dioxide. The monitoring of vegetation change can play a vital role in knowledge generation, best practices and as well as Environmental Monitoring and Evaluation which can be abated in the near future. This study recommends that the South Africa Government and public agencies concerned develop policies and strategies to bring about balanced, coordinated and sustainable development in the municipality and its district.
dc.description.abstract
dc.language.iso en en_US
dc.rights University of Venda
dc.subject Vegetation change en_US
dc.subject Remote sensing en_US
dc.subject GIS en_US
dc.subject.ddc 621.36780968257
dc.subject.lcsh Remote sensing -- South Africa -- Limpopo
dc.subject.lcsh Vegetation mapping -- South Africa -- Limpopo
dc.subject.lcsh Vegetation survey -- South Africa -- Limpopo
dc.subject.lcsh Vegetation dynamics -- South Africa -- Limpopo
dc.title Vegetation change detection using remote sensing and GIS in Makhado Town, Limpopo Province, South Africa en_US
dc.type Dissertations en_US


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