Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data

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dc.contributor.advisor Botai, J.O. (Joel Ongego) en
dc.contributor.coadvisor Ramoelo, Abel en
dc.contributor.postgraduate Adeyemi, Adeniyi Adedayo en
dc.date.accessioned 2015-11-25T09:54:05Z
dc.date.available 2015-11-25T09:54:05Z
dc.date.created 2015/09/01 en
dc.date.issued 2015 en
dc.description Dissertation (MSc)--University of Pretoria, 2015. en
dc.description.abstract 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. en
dc.description.availability Unrestricted en
dc.description.degree MSc en
dc.description.department Geography, Geoinformatics and Meteorology en
dc.description.librarian tm2015 en
dc.identifier.citation 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> en
dc.identifier.other S2015 en
dc.identifier.uri http://hdl.handle.net/2263/50884
dc.language.iso en en
dc.publisher University of Pretoria en_ZA
dc.rights © 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. en
dc.subject UCTD en
dc.title Analysis of impervious surfaces and surface temperature over Tshwane metropolitan using in-situ and remotely sensed data en
dc.type Dissertation en


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