Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan

Effective geospatial monitoring of land use land cover changes particularly forest cover changes is necessary to overcome the degradation of the terrestrial ecosystem to further mitigate the effects of global climate change. Therefore, this research aims at mapping, estimating, and monitoring the fo...

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Main Author:	Ahmed Attia, Nusiba Eissa
Format:	Thesis
Language:	English
Published:	2021
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/96855/1/NusibaEissaAhmedMFAB2021.pdf.pdf
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id	my-utm-ep.96855
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spelling	my-utm-ep.968552022-08-28T02:38:39Z Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan 2021 Ahmed Attia, Nusiba Eissa G70.212-70.215 Geographic information system Effective geospatial monitoring of land use land cover changes particularly forest cover changes is necessary to overcome the degradation of the terrestrial ecosystem to further mitigate the effects of global climate change. Therefore, this research aims at mapping, estimating, and monitoring the forest cover changes in Alsunt forest of Sudan using geographical information system (GIS) and satellite-based approaches. This research was achieved by the following objectives to a) map and estimate the spatial extents of land use land cover in the study area; b) monitor the forest cover changes within the study site, and c) analyzed the forest cover changes using GIS tool and descriptive statistical techniques. The ?Maximum Likelihood Classification (MLC)? technique was used to map the spatial extents of land use land cover (forest, water body, build-up areas, bear land, and agriculture) within the study sites and further estimate the distribution of the extents. The historical monitoring of the forest cover changes for 3 epochs (2000, 2010, and 2019) was accomplished using Landsat 8 Operational Land Imager (OLI) and Landsat 5 Thematic Mapper (TM). Whereas, the analyses of the forest cover change were achieved using descriptive statistical techniques. The results realised results are a) spatial distribution map and estimation of land use land cover changes; b) forest cover maps showing changes (hectares (ha))in the year 2000 (599153.3ha), 2010 (57778.38ha), and 2019 (34920.99ha); and c) analyses of the forest cover changes for the three epochs revealed R2 0.780, 0.857, and 0.891, p-value (0.005, 0.001, 0.001) and Root Mean Square Error (RMSE) ± 0.910, ± 0.510, and ± 0.620 for the year 2000, 2010, and 2019 respectively. Hence, this research shall serve as a guide for planning and management of forest conservation and restoration for sustainability and climate change mitigation. 2021 Thesis http://eprints.utm.my/id/eprint/96855/ http://eprints.utm.my/id/eprint/96855/1/NusibaEissaAhmedMFAB2021.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:142086 masters Universiti Teknologi Malaysia Faculty of Built Environment & Surveying
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Ahmed Attia, Nusiba Eissa Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan
description	Effective geospatial monitoring of land use land cover changes particularly forest cover changes is necessary to overcome the degradation of the terrestrial ecosystem to further mitigate the effects of global climate change. Therefore, this research aims at mapping, estimating, and monitoring the forest cover changes in Alsunt forest of Sudan using geographical information system (GIS) and satellite-based approaches. This research was achieved by the following objectives to a) map and estimate the spatial extents of land use land cover in the study area; b) monitor the forest cover changes within the study site, and c) analyzed the forest cover changes using GIS tool and descriptive statistical techniques. The ?Maximum Likelihood Classification (MLC)? technique was used to map the spatial extents of land use land cover (forest, water body, build-up areas, bear land, and agriculture) within the study sites and further estimate the distribution of the extents. The historical monitoring of the forest cover changes for 3 epochs (2000, 2010, and 2019) was accomplished using Landsat 8 Operational Land Imager (OLI) and Landsat 5 Thematic Mapper (TM). Whereas, the analyses of the forest cover change were achieved using descriptive statistical techniques. The results realised results are a) spatial distribution map and estimation of land use land cover changes; b) forest cover maps showing changes (hectares (ha))in the year 2000 (599153.3ha), 2010 (57778.38ha), and 2019 (34920.99ha); and c) analyses of the forest cover changes for the three epochs revealed R2 0.780, 0.857, and 0.891, p-value (0.005, 0.001, 0.001) and Root Mean Square Error (RMSE) ± 0.910, ± 0.510, and ± 0.620 for the year 2000, 2010, and 2019 respectively. Hence, this research shall serve as a guide for planning and management of forest conservation and restoration for sustainability and climate change mitigation.
format	Thesis
qualification_level	Master's degree
author	Ahmed Attia, Nusiba Eissa
author_facet	Ahmed Attia, Nusiba Eissa
author_sort	Ahmed Attia, Nusiba Eissa
title	Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan
title_short	Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan
title_full	Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan
title_fullStr	Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan
title_full_unstemmed	Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan
title_sort	appraisal of forest changes using change detection analysis in alsunt forest khartoum state of sudan
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Built Environment & Surveying
publishDate	2021
url	http://eprints.utm.my/id/eprint/96855/1/NusibaEissaAhmedMFAB2021.pdf.pdf
_version_	1747818690590539776

Appraisal of forest changes using change detection analysis in Alsunt Forest Khartoum State of Sudan

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