Change detection for the past three decades using geospatial approach in Lake Chad, central Africa

Lakes are extremely touchy and dynamic parts of the earth and have a pivotal part in the farming, environment, industrial and domestic purposes. In Central Africa, Lake Chad Basin (LCB) has observed an uninterrupted decrease in its water level for the past decades as a result of certain variables su...

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Main Authors: Hussaini, A., Mahmud, M. R., Tang, K. K. W.
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/92445/1/AHussaini2020_ChangeDetectionforthePastThreeDecades.pdf
http://eprints.utm.my/id/eprint/92445/
http://dx.doi.org/10.1088/1755-1315/540/1/012001
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spelling my.utm.924452021-09-28T07:44:36Z http://eprints.utm.my/id/eprint/92445/ Change detection for the past three decades using geospatial approach in Lake Chad, central Africa Hussaini, A. Mahmud, M. R. Tang, K. K. W. G70.39-70.6 Remote sensing Lakes are extremely touchy and dynamic parts of the earth and have a pivotal part in the farming, environment, industrial and domestic purposes. In Central Africa, Lake Chad Basin (LCB) has observed an uninterrupted decrease in its water level for the past decades as a result of certain variables such as climate change and over-abstraction, and likewise part of dry spells. The aforementioned challenges have serious effects on the standard living of the people in a particular area as well as the lake natural resources. The current study was planned to assess the changes of a lake for the past three epochs, then the Lake Chad satellite imageries include OLI, ETM+, and TM were evaluated with a view to came up with some land cover changes throughout these epochs: 1985, 2000, and 2015. All the scenes were subjected to the pre-processing stage to ensure the originality of the information, and "supervised classification was implemented for land cover change analysis. Then the overall accuracies of the classification of Landsat-TM is 93.80, Landsat-ETM+ is 90.80, and Landsat-OLI is 86.20 respectively. The outcome demonstrates that there is a continuous decline of water bodies, barren land, and shrub, with a rapid increment of farmland and gallery forest". 2020 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/92445/1/AHussaini2020_ChangeDetectionforthePastThreeDecades.pdf Hussaini, A. and Mahmud, M. R. and Tang, K. K. W. (2020) Change detection for the past three decades using geospatial approach in Lake Chad, central Africa. In: 10th IGRSM International Conference and Exhibition on Geospatial and Remote, IGRSM 2020, 20 - 21 October 2020, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1088/1755-1315/540/1/012001
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Hussaini, A.
Mahmud, M. R.
Tang, K. K. W.
Change detection for the past three decades using geospatial approach in Lake Chad, central Africa
description Lakes are extremely touchy and dynamic parts of the earth and have a pivotal part in the farming, environment, industrial and domestic purposes. In Central Africa, Lake Chad Basin (LCB) has observed an uninterrupted decrease in its water level for the past decades as a result of certain variables such as climate change and over-abstraction, and likewise part of dry spells. The aforementioned challenges have serious effects on the standard living of the people in a particular area as well as the lake natural resources. The current study was planned to assess the changes of a lake for the past three epochs, then the Lake Chad satellite imageries include OLI, ETM+, and TM were evaluated with a view to came up with some land cover changes throughout these epochs: 1985, 2000, and 2015. All the scenes were subjected to the pre-processing stage to ensure the originality of the information, and "supervised classification was implemented for land cover change analysis. Then the overall accuracies of the classification of Landsat-TM is 93.80, Landsat-ETM+ is 90.80, and Landsat-OLI is 86.20 respectively. The outcome demonstrates that there is a continuous decline of water bodies, barren land, and shrub, with a rapid increment of farmland and gallery forest".
format Conference or Workshop Item
author Hussaini, A.
Mahmud, M. R.
Tang, K. K. W.
author_facet Hussaini, A.
Mahmud, M. R.
Tang, K. K. W.
author_sort Hussaini, A.
title Change detection for the past three decades using geospatial approach in Lake Chad, central Africa
title_short Change detection for the past three decades using geospatial approach in Lake Chad, central Africa
title_full Change detection for the past three decades using geospatial approach in Lake Chad, central Africa
title_fullStr Change detection for the past three decades using geospatial approach in Lake Chad, central Africa
title_full_unstemmed Change detection for the past three decades using geospatial approach in Lake Chad, central Africa
title_sort change detection for the past three decades using geospatial approach in lake chad, central africa
publishDate 2020
url http://eprints.utm.my/id/eprint/92445/1/AHussaini2020_ChangeDetectionforthePastThreeDecades.pdf
http://eprints.utm.my/id/eprint/92445/
http://dx.doi.org/10.1088/1755-1315/540/1/012001
_version_ 1712285095534002176
score 13.160551