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Tropentag, September 10 - 12, 2025, Bonn

"Reconciling land system changes with planetary health"


Monitoring land system changes (LU/LC) in khartoum state during the period 2010-2020

Majdaldin Rahamtallah Abualgasim Mohammed

National Center for Research, Sudan, National Center for Research, Sudan, Sudan


Abstract


Khartoum, capital has witnessed remarkable expansion, growth and rapid development such as buildings, road construction, and many other developmental activities. Therefore, the main result of all these factors are represented in increased land consumption, changing and alterations in the status of its land use and land cover (LU/LC) over time. This study describes the results of land use, land cover LU/LC classification and assessment in Khartoum derived from remotely sensed data. The study aims to dynamically monitor and map, to assess and analyse the changes of LU/LC with respect the baseline of image 2010. Despite, there is a lack of reliable data such as official land use maps and restricted access to aerial photographs, it was appropriate to use satellite data to assessment of LU/LC change. To achieve that, and to extract information for overall condition which occurred in the area, free cloudy remotely sensed data Landsat imageries for the years 2010 and 2020 respectively, acquisition in dry season to mitigate the seasonal fluctuations, were used covering the situ of study, combining with GIS techniques. Some correction methods have been done e.g. resembling and rectification, radiometric, geometric and atmospheric corrections to removed distortions and removal of differentiate in geographical location, using both Envi and Erdas softwares. The methods used in this study were three different stages; image pre-processing, image processing (classification using maximum likelihood classification (MLC)), and post classification to analysis the change detection. Maps for one epoch were generated for Khartoum state area which classified into five categories covering water body, built-up area, vegetation cover, and bare area. The analysis of classification reflected the significant LU/LC changes between the years of 2010 and 2020. General result of LU/LC change in Khartoum were obtained from this study is that Built-up areas have been extended due to growth of population. In the meantime the Vegetation cover and Bare areas were decreased during the years of 2010 to 2020.


Keywords: Change Detection, Image Classification, khartoum State, Remote Sensing


Contact Address: Majdaldin Rahamtallah Abualgasim Mohammed, National Center for Research, Sudan, National Center for Research, Sudan, Elamarat str.61, Khartoum, Sudan, e-mail: majdaldin_1974@yahoo.com


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