Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Dissertation (MSc)--University of Pretoria, 2015.
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613438854823936 |
|---|---|
| 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:2263/50880 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:09.504Z |
| 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:2263/50880 Detection of expansive soils using remote sensing in Brits North-West Province South Africa Botai, J.O. (Joel Ongego) ndlamini@geoscience.org.za Cho, M.A. Dlamini, Nondumiso Jacqueline UCTD Dissertation (MSc)--University of Pretoria, 2015. Expansive soils generally pose a significant geological hazard, which causes damage to civil infrastructure that could amount to billions of rand every year. Traditionally, expansive soils have been mapped and characterized using methods such as X-ray Diffraction (XRD) and standard engineering tests such as Atterberg limits. These traditional methods have proven to be time consuming, labour intense and expensive. Remote sensing has shown potential as a faster, cheaper non-laborious complementary tool that will support traditional methods of mapping expansive soils and geotechnical investigation. Notwithstanding the significance of remote sensing techniques and their applications in mapping expansive soils, research in this field is at its infancy in South Africa. The purpose of this study is to map expansive soils by use of multi-disciplinary techniques i.e., identify expansive soils using field observations, laboratory techniques and multispectral remote sensing. Soil samples (53) were collected from Brits in the North West Province. The soil samples were classified into swelling and non-swelling soils using laboratory-based techniques. In this regard, a) X-ray Diffraction (XRD) was used for mineralogical identification and classification, b) Atterberg limits tests were used to estimate swell potential of soils and support soil classification, and c) spectroscopic measurements of soil were acquired under laboratory conditions using a hand-held Analytical Spectral Device (ASD). Results show that expansive soils are dominant in the study area, with smectite being the most dominant clay mineral. Analysis of malleability demonstrated that soil plasticity varies from non-plastic to very high plasticity. Soils with medium to very high plasticity are in majority. Using an ASD that collects data in the 350-2500nm wavelength region, swelling soils were identifiable in the SWIR region of the electromagnetic spectrum. Mean reflectance spectra of swelling and non-swelling soils were used to map these soils on ASTER imagery, using SAM classifier. In spite of the difficulties of acquiring enough ASTER images, mapping of expansive soils using remotely sensed imagery demonstrated potential of studying the distribution of expansive soils as well aid in geotechnical investigations with inherent spatial-temporal resolution merits. tm2015 Geography, Geoinformatics and Meteorology MSc Unrestricted 2015-11-25T09:54:05Z 2015-11-25T09:54:05Z 2015/09/01 2015 Dissertation Dlamini, NJ 2015, Detection of expansive soils using remote sensing in Brits North-West Province South Africa, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/50880> S2015 http://hdl.handle.net/2263/50880 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 Detection of expansive soils using remote sensing in Brits North-West Province South Africa |
| title | Detection of expansive soils using remote sensing in Brits North-West Province South Africa |
| title_full | Detection of expansive soils using remote sensing in Brits North-West Province South Africa |
| title_fullStr | Detection of expansive soils using remote sensing in Brits North-West Province South Africa |
| title_full_unstemmed | Detection of expansive soils using remote sensing in Brits North-West Province South Africa |
| title_short | Detection of expansive soils using remote sensing in Brits North-West Province South Africa |
| title_sort | detection of expansive soils using remote sensing in brits north west province south africa |
| topic | UCTD |
| url | http://hdl.handle.net/2263/50880 |