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Spatial-Temporal Analysis of Vegetation and Land Cover Changes in Central Darfur Using Remote Sensing Data (1980-2020)

Received: 2 August 2025     Accepted: 13 August 2025     Published: 23 September 2025
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Abstract

The main research field of the present study is to use remote sensing for the detection of natural resources changes for the past 20 years due to climate change variability in most vulnerable areas in Zallingei, Central Darfur State (western Sudan). The natural resources covered some classes (vegetation, herbaceous, forest cover, bare lands and water bodies). Meteorological data covered 30 years (1980 - 2020) for temperature and rainfall as well as satellite imageries’ for the years, 1981, 2000 and 2020. The geospatial data were downloaded and an analysis using QGIS 3.22.1 and ERDAS 2014 software. The results showed that for the last four decades, the average temperature increased from 30.4 to 30.9°C, while the average rainfall decreased from 460 to 730 mm. The mean NDVI decreased from 0.28 to 0.20. Changes in natural resources in the 3 areas under study and for the years; 1980, 2000 and 2020 revealed that, For Abatta area, percentage changes in water bodies ranged between 4 - 7 and 6% for the corresponding years. Bare soil showed increases as: 25, 44, and 64%. For vegetation cover the range of decreases were; 34, 19 and 18%, herbaceous decreases were: 17, 16, 13%, while forests decreases were 24 to 16 and 15%. For Orukum area, Bare soil percentage changes were: 23 - 12 and 25% for the corresponding years, while water bodies changes ranged as: 20, 30, 16%. For vegetation cover changes were 18, 10, which increased to 38%, while herbaceous decreases ranged as: 32, 14 and 6%, the forest percentage changes ranged between 7, 17 and 6%. For Teraj area, percentage changes in water bodies decreased from 16 to 7% with small changes in bare soils changes (20, 17, and 20%). Vegetation cover percentage increases were: 19, 26 and 32%, while herbaceous changes varied as: 26, 40, and 18% with forest showing changes as: 20, 10, and 23%. There was a high negative (r = - 0.51) correlation between vegetation cover and forest, as well as with average temperature (r = -0.64) but high positive correlations between vegetation cover and herbaceous cover (r = 0.51). Bare soil showed high negative correlations with vegetation cover (r = - 0.54) and average temperature (r = - 0.83). Forests were highly positively correlated with vegetation cover (r = 0.51), but highly negatively correlated average temperature (r = - 0.98) and annual rainfall (r = - 0.82). Herbaceous vegetation was highly (r = 0.83) positively correlated with vegetation cover. Average temperature negatively correlated with annual rainfall (r = - 0.77).

Published in American Journal of Life Sciences (Volume 13, Issue 4)
DOI 10.11648/j.ajls.20251304.12
Page(s) 117-128
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Change Land Cover Detection, Special-temporal Use of Remote Sensing, Central Darfur, Sudan

References
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[2] Osman-Elasha, B (2009). Livelihood and drought in Sudan; In Climate change and vulnerability, hard copy Newcastle University.
[3] Serigne T. K,. Louis, V. and Jens, M. (2006). Climate change and variability in the Sahel region: impacts and adaption strategies on in the agriculture sector. UNEP and ICRAF. Accessed online www.icraf.org
[4] Caminade C, Terray L (2010) Twentieth century Sahel rainfall variability as simulated by the ARPEGE AGCM, and future changes. Clim Dyn 35: 75-94.
[5] Suleiman, M. B. K. (2012). Contribution of nonwood forest products in the livelihood of rural communities at Dalanj Locality in South Kordofan State, M. Sc. Thesis College of Graduate Studies, SUST.
[6] NAP (2016). National Adaptation Plan. Minister of Environment, Forestryand Physical Development Khartoum, Sudan.
[7] Tarekegn, B. (2009). Pastoralism and Adaptation to climate change; In Environmental and Conflict in Africa, Refection on Sudan. Edited by Marcel Leroy, University for Peace.
[8] Gadallah, N. A. H, Hano A., and Yagoub Y. (2020). Characterizing Forest Cover Changes Based on Satellite Images cum Forest Dependents’ Data.
[9] UNEP - United Nation Environmental Program (Ed.). (2020). Sudan First State of Environment and Outlook Report 2020.
[10] Gadallah, N. A., Taha, I. S., Hano, A. I., Siddiga, A. A. H., and Bo, H. J. (2022). Integrated Approach for Assessment and Monitoring of Forests Conditions in the Drylands of Sudan. Arid Ecosyst 12, 142-153.
[11] Abdel Magid, T. D., Musa, M. G., and El Mubarak, S. M. (2015). The State of the Sudan Forests' Biodiversity for Food and Agriculture. Sudan’s country report to the state of world biodiversity for food and agriculture.
[12] Yagoub, Y., Li, Z., Musa, O., Anjum, M., Wang, F., Xu, C., and Bo, Z. (2017a). Investigation of Vegetation Cover Change in Sudan by Using Modis Data. Journal of Geographic Information System, 9, 279-292.
[13] Hussain, S., Mubeen, M., Ahmad, A., Masood, N., Hammad, H., Amjad, M., Imran, M., Usman, M., Farid, H., Fahad, S., Nasim, W., Javeed, H., Ali, M., Qaisrani, S., Farooq, A., Khalid, M., and Waleed, M. (2021). Satellite-based evaluation of temporal change in cultivated land in Southern Punjab (Multan region) through dynamics of vegetation and land surface temperature. Open Geosciences, Vol. 13 (Issue 1), pp. 1561-1577.
[14] Hussain A, O,. Kheiry, A, M. Yasin, E, H. (2022). Land-Use Land-Cover Change Detection Using Geospatial Techniques in Zalingei, Central Darfur, Sudan.
[15] Awad, S. S., Rabah, A. A., Ali, H. I., and Mahmoud, T. E. (2018). Acacia seyal gums in Sudan: Ecology and Economic Contribution. Gum Arabic: Structure, Properties, Application, and Economics. Academic Press.
[16] Li, W. (2020). Mapping Urban Impervious Surfaces by Using Spectral Mixture Analysis and Spectral Indices. Remote Sens. 12, 94.
[17] Hussain A, O,. Kheiry, A,M. Yasin, E, H. (2022). Land-Use Land-Cover Change Detection Using Geospatial Techniques in Zalingei, Central Darfur, Sudan. Journal of Information Systems and Informatics Vol. 5, No. 4, December 2023 e-ISSN: 2656-4882 p-ISSN: 2656-5935
[18] Gedefaw, M.; Denghua, Y.; Girma, A (2023). Assessing the Impacts of Land Use/Land Cover Changes on Water Resources of the Nile River.
[19] Ahmed, N, A. A, (2016). Assessment of Woody Vegetation and Natural Regeneration in Zalligei locality, Central Darfur PhD, Thesis College of forestry and range science. SUST. KH. Sudan.
[20] Ahmed, S. A., Kheiry, M. A., and Hassan, I. M., (2018). Impact of Vegetation Cover Changes on Gum Arabic Production Using Remote Sensing Applications in Gedarif State, Sudan. Gum Arabic: Structure, Properties, Application and Economics Gum 29-43:
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    Yousif, A. A., Mohamed, M. M., Shazali, H. S. (2025). Spatial-Temporal Analysis of Vegetation and Land Cover Changes in Central Darfur Using Remote Sensing Data (1980-2020). American Journal of Life Sciences, 13(4), 117-128. https://doi.org/10.11648/j.ajls.20251304.12

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    ACS Style

    Yousif, A. A.; Mohamed, M. M.; Shazali, H. S. Spatial-Temporal Analysis of Vegetation and Land Cover Changes in Central Darfur Using Remote Sensing Data (1980-2020). Am. J. Life Sci. 2025, 13(4), 117-128. doi: 10.11648/j.ajls.20251304.12

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    AMA Style

    Yousif AA, Mohamed MM, Shazali HS. Spatial-Temporal Analysis of Vegetation and Land Cover Changes in Central Darfur Using Remote Sensing Data (1980-2020). Am J Life Sci. 2025;13(4):117-128. doi: 10.11648/j.ajls.20251304.12

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  • @article{10.11648/j.ajls.20251304.12,
      author = {Alaaeldin Abdelrahman Yousif and Muna Mahjoub Mohamed and Hisham Salaheldein Shazali},
      title = {Spatial-Temporal Analysis of Vegetation and Land Cover Changes in Central Darfur Using Remote Sensing Data (1980-2020)
    },
      journal = {American Journal of Life Sciences},
      volume = {13},
      number = {4},
      pages = {117-128},
      doi = {10.11648/j.ajls.20251304.12},
      url = {https://doi.org/10.11648/j.ajls.20251304.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajls.20251304.12},
      abstract = {The main research field of the present study is to use remote sensing for the detection of natural resources changes for the past 20 years due to climate change variability in most vulnerable areas in Zallingei, Central Darfur State (western Sudan). The natural resources covered some classes (vegetation, herbaceous, forest cover, bare lands and water bodies). Meteorological data covered 30 years (1980 - 2020) for temperature and rainfall as well as satellite imageries’ for the years, 1981, 2000 and 2020. The geospatial data were downloaded and an analysis using QGIS 3.22.1 and ERDAS 2014 software. The results showed that for the last four decades, the average temperature increased from 30.4 to 30.9°C, while the average rainfall decreased from 460 to 730 mm. The mean NDVI decreased from 0.28 to 0.20. Changes in natural resources in the 3 areas under study and for the years; 1980, 2000 and 2020 revealed that, For Abatta area, percentage changes in water bodies ranged between 4 - 7 and 6% for the corresponding years. Bare soil showed increases as: 25, 44, and 64%. For vegetation cover the range of decreases were; 34, 19 and 18%, herbaceous decreases were: 17, 16, 13%, while forests decreases were 24 to 16 and 15%. For Orukum area, Bare soil percentage changes were: 23 - 12 and 25% for the corresponding years, while water bodies changes ranged as: 20, 30, 16%. For vegetation cover changes were 18, 10, which increased to 38%, while herbaceous decreases ranged as: 32, 14 and 6%, the forest percentage changes ranged between 7, 17 and 6%. For Teraj area, percentage changes in water bodies decreased from 16 to 7% with small changes in bare soils changes (20, 17, and 20%). Vegetation cover percentage increases were: 19, 26 and 32%, while herbaceous changes varied as: 26, 40, and 18% with forest showing changes as: 20, 10, and 23%. There was a high negative (r = - 0.51) correlation between vegetation cover and forest, as well as with average temperature (r = -0.64) but high positive correlations between vegetation cover and herbaceous cover (r = 0.51). Bare soil showed high negative correlations with vegetation cover (r = - 0.54) and average temperature (r = - 0.83). Forests were highly positively correlated with vegetation cover (r = 0.51), but highly negatively correlated average temperature (r = - 0.98) and annual rainfall (r = - 0.82). Herbaceous vegetation was highly (r = 0.83) positively correlated with vegetation cover. Average temperature negatively correlated with annual rainfall (r = - 0.77).
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Spatial-Temporal Analysis of Vegetation and Land Cover Changes in Central Darfur Using Remote Sensing Data (1980-2020)
    
    AU  - Alaaeldin Abdelrahman Yousif
    AU  - Muna Mahjoub Mohamed
    AU  - Hisham Salaheldein Shazali
    Y1  - 2025/09/23
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ajls.20251304.12
    DO  - 10.11648/j.ajls.20251304.12
    T2  - American Journal of Life Sciences
    JF  - American Journal of Life Sciences
    JO  - American Journal of Life Sciences
    SP  - 117
    EP  - 128
    PB  - Science Publishing Group
    SN  - 2328-5737
    UR  - https://doi.org/10.11648/j.ajls.20251304.12
    AB  - The main research field of the present study is to use remote sensing for the detection of natural resources changes for the past 20 years due to climate change variability in most vulnerable areas in Zallingei, Central Darfur State (western Sudan). The natural resources covered some classes (vegetation, herbaceous, forest cover, bare lands and water bodies). Meteorological data covered 30 years (1980 - 2020) for temperature and rainfall as well as satellite imageries’ for the years, 1981, 2000 and 2020. The geospatial data were downloaded and an analysis using QGIS 3.22.1 and ERDAS 2014 software. The results showed that for the last four decades, the average temperature increased from 30.4 to 30.9°C, while the average rainfall decreased from 460 to 730 mm. The mean NDVI decreased from 0.28 to 0.20. Changes in natural resources in the 3 areas under study and for the years; 1980, 2000 and 2020 revealed that, For Abatta area, percentage changes in water bodies ranged between 4 - 7 and 6% for the corresponding years. Bare soil showed increases as: 25, 44, and 64%. For vegetation cover the range of decreases were; 34, 19 and 18%, herbaceous decreases were: 17, 16, 13%, while forests decreases were 24 to 16 and 15%. For Orukum area, Bare soil percentage changes were: 23 - 12 and 25% for the corresponding years, while water bodies changes ranged as: 20, 30, 16%. For vegetation cover changes were 18, 10, which increased to 38%, while herbaceous decreases ranged as: 32, 14 and 6%, the forest percentage changes ranged between 7, 17 and 6%. For Teraj area, percentage changes in water bodies decreased from 16 to 7% with small changes in bare soils changes (20, 17, and 20%). Vegetation cover percentage increases were: 19, 26 and 32%, while herbaceous changes varied as: 26, 40, and 18% with forest showing changes as: 20, 10, and 23%. There was a high negative (r = - 0.51) correlation between vegetation cover and forest, as well as with average temperature (r = -0.64) but high positive correlations between vegetation cover and herbaceous cover (r = 0.51). Bare soil showed high negative correlations with vegetation cover (r = - 0.54) and average temperature (r = - 0.83). Forests were highly positively correlated with vegetation cover (r = 0.51), but highly negatively correlated average temperature (r = - 0.98) and annual rainfall (r = - 0.82). Herbaceous vegetation was highly (r = 0.83) positively correlated with vegetation cover. Average temperature negatively correlated with annual rainfall (r = - 0.77).
    
    VL  - 13
    IS  - 4
    ER  - 

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