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Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data
Dissertation (MSc)--University of Pretoria, 2015.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2015
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| _version_ | 1867613453696368641 |
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| access_status_str | Open Access |
| author2 | Botai, J.O. (Joel Ongego) |
| author_browse | Botai, J.O. (Joel Ongego) |
| author_facet | Botai, J.O. (Joel Ongego) |
| collection | Thesis |
| dc_rights_str_mv | © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2015. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/50884 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:23.737Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/50884 Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data Botai, J.O. (Joel Ongego) u13387546@tuks.co.za Ramoelo, Abel Adeyemi, Adeniyi Adedayo UCTD Dissertation (MSc)--University of Pretoria, 2015. Tshwane is one of the major metropolitan in Gauteng Province. This metropolitan continues to experience rapid urbanization as a result of population growth, leading to the conversion of natural lands into impervious surface area (ISA) i.e., constructed surfaces – sidewalks, roads rooftops, parkinglots covered by impenetrable materials such as asphalt, concrete and stones which prevent water from infiltrating into the soil. Such landscapes influence the climate of the Metropolitan as evidenced by the recent heat wave characterized by high temperature. Therefore, the consistent information about these changes will play an important role in city planning and environmental management. In this study, seven land use/cover types were delineated from the cloud free Landsat images using maximum likelihood (ML) and random forest (RF) classifiers to map the Tshwane metropolis. The overall accuracies for classifying the seven land cover types were 88.63% and 80.13% (Landsat 7 ETM+, 2003) and 88.82% and 82.03% (Landsat 8 LCDM) for both ML and RF, respectively. In addition, based on the pairwise comparison of error matrix the two algorithms were found to produce approximately identical classification errors. Furthermore, the remote sensing data was also used to assess the relationship between LULC changes and LST estimation. Mean near surface temperature from the weather stations was used as a point of reference to verify the accuracy of the final retrieved LST images. From Landsat 7 ETM+ (2003), the mean pixel temperature for Pretoria Eendracht and Irene Wo weather station when compared the mean near surface temperature produced a LST retrieval error of 3.3OC and 1OC respectively. Similarly, Landsat 8 LCDM data (2013) mean pixel temperature for Pretoria UNISA weather station and Pretoria National Botanical Institute when compared the mean near surface temperature produced a LST retrieval error of 0.38OC and 1.3OC for the two stations. Finally, the remote sensing data showed the quantitative effect of impervious surface area changes on mean LSTs, through the distribution of urban heat island within Tshwane metropolitan. tm2015 Geography, Geoinformatics and Meteorology MSc Unrestricted 2015-11-25T09:54:05Z 2015-11-25T09:54:05Z 2015/09/01 2015 Dissertation Adeyemi, AA 2015, Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/50884> S2015 http://hdl.handle.net/2263/50884 en © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data |
| title | Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data |
| title_full | Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data |
| title_fullStr | Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data |
| title_full_unstemmed | Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data |
| title_short | Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data |
| title_sort | analysis of impervious surfaces and surface temperature over tshwane metropolitan using in situ and remotely sensed data |
| topic | UCTD |
| url | http://hdl.handle.net/2263/50884 |