Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)

A dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfilment of the requirements for the Degree of Master of Science. Johannesburg, 20 January 2017. === Sand dune movements can be effectively monitored through the comparison of multitemporal satellite images....

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Main Author: Els, Anja
Format: Others
Language:en
Published: 2017
Subjects:
Online Access:Els, Anja (2017) Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari sand sea), University of Witwatersrand, Johannesburg, <http://wiredspace.wits.ac.za/handle/10539/22732>
http://hdl.handle.net/10539/22732
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-wits-oai-wiredspace.wits.ac.za-10539-227322019-05-11T03:40:58Z Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea) Els, Anja Sand dunes--Libya--Ubari Sand Sea Landsat satellites Remote-sensing images A dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfilment of the requirements for the Degree of Master of Science. Johannesburg, 20 January 2017. Sand dune movements can be effectively monitored through the comparison of multitemporal satellite images. However, not all remote sensing platforms are suitable to study sand dunes. This study compares coarse (Landsat 7 and 8) and fine (Worldview 2) resolution platforms, specifically focussing on sand dunes within the Ubārī Sand Sea (Libya), and identified the average migration rate and direction for the linear dunes within a section of the Ubārī sand sea for the time period from 2002-2015 with the use of Landsat imagery. Two band combinations were compared with the use of two supervised classifications. The best combination was found to be red, green, blue and near-infrared band combination and the maximum likelihood classifier. The dune features, namely the crest, slope and interdunal areas were successfully classified based on both the coarse and fine resolution imagery, but the accuracy with which it can be classified are different between the two resolutions. The classifications based on the Worldview 2 imagery had overall accuracies ranging from 55.43 - 60.83% with kappa values of 0.3486 – 0.4225 compared to the overall accuracies and kappa values of the classifications based on the Landsat 8 imagery ranging from 52.11 – 64.67% and 0.3878 – 0.4927 respectively. An average migration rate of 8.64 (± 4.65) m/yr in a generally north western direction was calculated based on the analysis of remote sensing data with some variations in this rate and the size and shape of the dunes. It was found that although Worldview 2 imagery provides more accurate and precise mensuration data, and smaller dunes identified from Worldview data were not delineated clearly on the Landsat imagery. Landsat imagery is sufficient for the studying of dunes at a regional scale. This means that for studies concerned with the dune patterns and movements within sand seas, Landsat is sufficient. In studies where the specific dynamics of specific dunes are to be selected, a finer resolution is required; platforms such as Worldview are needed in order to gain more detailed insight and to link the past and present day climate and environmental change. MT2017 2017-05-26T07:18:02Z 2017-05-26T07:18:02Z 2017 Thesis Els, Anja (2017) Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari sand sea), University of Witwatersrand, Johannesburg, <http://wiredspace.wits.ac.za/handle/10539/22732> http://hdl.handle.net/10539/22732 en Online resource (xi, 132 leaves) application/pdf
collection NDLTD
language en
format Others
sources NDLTD
topic Sand dunes--Libya--Ubari Sand Sea
Landsat satellites
Remote-sensing images
spellingShingle Sand dunes--Libya--Ubari Sand Sea
Landsat satellites
Remote-sensing images
Els, Anja
Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)
description A dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfilment of the requirements for the Degree of Master of Science. Johannesburg, 20 January 2017. === Sand dune movements can be effectively monitored through the comparison of multitemporal satellite images. However, not all remote sensing platforms are suitable to study sand dunes. This study compares coarse (Landsat 7 and 8) and fine (Worldview 2) resolution platforms, specifically focussing on sand dunes within the Ubārī Sand Sea (Libya), and identified the average migration rate and direction for the linear dunes within a section of the Ubārī sand sea for the time period from 2002-2015 with the use of Landsat imagery. Two band combinations were compared with the use of two supervised classifications. The best combination was found to be red, green, blue and near-infrared band combination and the maximum likelihood classifier. The dune features, namely the crest, slope and interdunal areas were successfully classified based on both the coarse and fine resolution imagery, but the accuracy with which it can be classified are different between the two resolutions. The classifications based on the Worldview 2 imagery had overall accuracies ranging from 55.43 - 60.83% with kappa values of 0.3486 – 0.4225 compared to the overall accuracies and kappa values of the classifications based on the Landsat 8 imagery ranging from 52.11 – 64.67% and 0.3878 – 0.4927 respectively. An average migration rate of 8.64 (± 4.65) m/yr in a generally north western direction was calculated based on the analysis of remote sensing data with some variations in this rate and the size and shape of the dunes. It was found that although Worldview 2 imagery provides more accurate and precise mensuration data, and smaller dunes identified from Worldview data were not delineated clearly on the Landsat imagery. Landsat imagery is sufficient for the studying of dunes at a regional scale. This means that for studies concerned with the dune patterns and movements within sand seas, Landsat is sufficient. In studies where the specific dynamics of specific dunes are to be selected, a finer resolution is required; platforms such as Worldview are needed in order to gain more detailed insight and to link the past and present day climate and environmental change. === MT2017
author Els, Anja
author_facet Els, Anja
author_sort Els, Anja
title Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)
title_short Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)
title_full Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)
title_fullStr Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)
title_full_unstemmed Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari Sand Sea)
title_sort tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central sahara (libyan fazzan / ubari sand sea)
publishDate 2017
url Els, Anja (2017) Tracking sand dune movements using multi-temporal remote sensing imagery: a case study of central Sahara (Libyan Fazzan / Ubari sand sea), University of Witwatersrand, Johannesburg, <http://wiredspace.wits.ac.za/handle/10539/22732>
http://hdl.handle.net/10539/22732
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