Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing

Hassan Elnour Adam; Abdelmonem Younis Adam Yahya; Salih Omer Tutu; Salim Mohamed Suliman; Mohammed Hamed Mohammed; Uttam Kumar Sahoo

doi:doi:10.11648/j.ijnrem.20230802.12

Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing

Hassan Elnour Adam, Abdelmonem Younis Adam Yahya, Salih Omer Tutu, Salim Mohamed Suliman, Mohammed Hamed Mohammed, Uttam Kumar Sahoo

Published in International Journal of Natural Resource Ecology and Management (Volume 8, Issue 2)

Received: 6 January 2023 Accepted: 16 March 2023 Published: 10 May 2023

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Abstract

The study was conducted in Shiekan locality in North Kordofan State, Sudan and aimed to identify, assess and mapping of the land use and land cover (LULC) changes and trends in the last three decades (1989 to 2019). Satellite imageries of Landsat 5 TM (1989) and (2009), Landsat 7 ETM+ (2000), and Landsat 8 OLI (2019), covering path and row 174/51 and 175/51 were acquired in dry seasons. Image pre-proccessig, image classification (maximum likelihood) and accuracy assessment were applied. Remotely sensed data were processed and analyzed using ERDAS 9.1 and ArcGIS10.0 software. Results showed that the LULC in Sheikan locality were identified into eight classes (water, trees, shrubs, sandy soil, gardud lands, agricultural lands, rangeland and bare soil, and residential). The trees class showed an increase from 2.36% (2000) to 2.51% (2009) and decreasing in 2019 (1.87%). While, classified imageries indicated an increase of agricultural land from 69.2% in 1989 to 72.2% in 2019 as dominant class, followed by shrub lands increased from 18% in 1989 to 23.1% in 2019 in Sheikan locality. The overall obtained accuracy for classified maps was 87.50%, 89.29%, 90.20%, and 80.77% for 1989, 2000, 2009, and 2019, respectively. The study revealed that expansion of agricultural lands, climate change and illicit felling of trees are the main reseaons for natural resources degradation, mainly forest and rangelands in Shiekan locality. Use of remote sensing and GIS in assessment and monitoring of natural resources in arid and semi-arid area is highly recommended.

Published in	International Journal of Natural Resource Ecology and Management (Volume 8, Issue 2)
DOI	10.11648/j.ijnrem.20230802.12
Page(s)	49-55
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), 2023. Published by Science Publishing Group

Keywords

GIS, Land Cover, Land Use, Remote Sensing, Sheikan Locality

References

[1]	Abdelkareem O. S. A., Elamin H. M. A., Eltahir M. E. S., Adam H. E., Elhaja M. E., Rahamtalla A. M., Babatunde O., Elmar C. (2018). Accuracy assessment of land use land cover in Um mabdalla natural reserved forest, South Kordofan, Sudan. International journal of agricultural and environmental sciences, 3 (1): 5-9 (http://www.openscienceonline.com/journal/ijaes).
[2]	Adam, H. E. (2011). Integration of remote sensing and GIS in studying vegetation trends and conditions in the gum Arabic belt in North Kordofan, Sudan, Berliner Verlag, Germany, ISBN 978-3-941216-58-7.
[3]	Ahlcrona, E. (1988). The impact of climate and man on land transformation in central Sudan; Applications of remote sensing. Lund University Press.
[4]	Campbell, J. B. (2002). Introduction to remote sensing. (3rd ed.), Taylor and Francis.
[5]	Chuvieco, E. and Huete, A. (2010). Fundamental of satellite remote sensing, Taylor and Francis Group, New York.
[6]	Congalton, R. G. and Green, K. (1999). Assessing the accuracy of remotely sensed data: principles and practices. Lewis Publishers.
[7]	Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. and Lambin, E. (2004). Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25 (9): 1565-1596.
[8]	Dafalla, M. S. (2007). Mapping and Assessment of Land Use/Land Cover Using Remote Sensing and GIS in North Kordofan State, Sudan. PhD thesis. Technical University of Dresden, Germany.
[9]	Dafalla, M., Abdel-Rahman, E., Siddig, K., Ibrahim, I., Csaplovics, E. (2014). Land Use and Land Cover Changes in Northern Kordofan State of Sudan: A Remotely Sensed Data Analysis. In: Melesse, A., Abtew, W., Setegn, S. (eds) Nile River Basin. Springer, Cham. https://doi.org/10.1007/978-3-319-02720-3_15
[10]	Dawelbait, M. and Morari, F. (2012). Monitoring desertification in a Savannah region in Sudan using Landsat images and spectral mixture analysis. Journal of Arid Environments. MAY 2012.
[11]	Eisa, M. A., Roth, M., & Sama, G. (2008). Acacia senegal (Gum Arabic Tree): Present role and need for future conservation/Sudan. Deutscher Tropentag, pp 1-5.
[12]	El Tahir, B. A., Mohammed Fadl, K. E., & Fadlalmula, A. G. D. (2010). Forest biodiversity in Kordofan Region, Sudan: Effects of climate change, pests, disease and human activity. Biodiversity, 11 (3-4), 34-44.‏
[13]	FAO, (2007) Land evaluation towards a revised framework report, Rome, Italy.
[14]	Gardner TA. et al. (2013). A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network. Phil Trans R Soc B 368: 20120166. http://dx.doi.org/10.1098/rstb.2012.0166.
[15]	Ibrahim, I. E., & Abdo, O. A. (2017). Productivity and economics of gum Arabic in Shiekan Locality, North Kordofan State, Sudan. International journal of agriculture, forestry and fisheries, 5 (6), 113-116.
[16]	Kheiry, M. A. (2003). Monitoring and Evaluation of Vegetation Cover Changes in Semi-arid Areas: A case Study of Khartoum Forest Sub-sector, Sudan. M.Sc. Thesis, TUD, Germany.
[17]	Kheiry, M. A. (2007). Spectral Mixture Analysis for Monitoring and Mapping Desertification Processes in Semi-arid Areas in North Kordofan State, Sudan. PhD Thesis, TUD, Germany.
[18]	Lu, D. S., Mausel, P., Brondı´zio, E. S., Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing 25 (12), 2365–2407.
[19]	Mahmoud, A. Y., Dafalla, M. S. and Casplovics, E (2007). Analysis of Land Use/Land Cover Changes in Elodaiya, Kordofan, Sudan, Using Remote Sensing and GIS. Sudan J. Des. Res. 3 (1): 88-107.
[20]	Mohammed, M. H., Elelaigy S. A. and Adam H. E. (2016). Assessment of vegetation cover status in dry lands of the Sudan using social and terrestrial data, Journal of Forest Science, 10 (2) (https://jurnal.ugm.ac.id/jikfkt/article/view/16508/10953).
[21]	NAPA. (2007). National Adaptation Programme of Action. Republic of the Sudan, Ministry of Environment and Physical Development, Higher Council for Environment and Natura Resources, Khartoum.
[22]	Peterson, D. L., Egbert, S. L., Price, K. P. and Martinko, E. A. (2004). Identifying historical and recent land-cover changes in Kansas using post-classification change detection techniques. Transactions of the Kansas Academy of Science, 107 (3/4): 105-118.
[23]	Pontius, R. G. (2000). Quantification error versus location error in comparison of categorical maps. Photogrametric Engineering and Remote Sensing, 66 (8): 1011-1016.
[24]	Skidmore, A. (Ed.). (2003). Environmental modeling with GIS and remote sensing. CRC Press.‏
[25]	Suliman, M. A. (2017). Assessment and mapping of land use/land cover change using remote Sensing and geographic information ystem in Shiekan. MSc. thesis, University of Khartoum.
[26]	Suliman, M. M. (2003). Assessing and Mapping Land Use/Land Cover Change Using Remote Sensing and GIS: A case study of El Amud Al Akhdar Settlement, Southern Darfur- Sudan. M.Sc. Thesis. TUD, Germany.
[27]	Symeonakis, E. and Drake, N. (2004). Monitoring desertification and land degradation over sub-Saharan Africa. International Journal of Remote Sensing, 25 (3): 573-592.
[28]	Taha, M. E., Rizig, H. A., Elamin, H. M., Eltahir, M. E., & Bekele (2015), Role of non-wood forest products in welfare of beneficiary stakeholders in Shiekan Locality, North Kordofan State, Sudan. International journal of agriculture, forestry and fisheries, 3 (4): 129-136.
[29]	Tutu, S. O., Ibrahim, I. E., Ibrahim, Y., Abutabaa, M., Adam, H. E., Elamin, M. A., Hamad, Z. M., & Maruod, M. E. (2019). Contribution of gum arabic products to rural household income in Shiekan locality of North Kordofan State, Sudan. International Journal of Innovative Trends in Engineering (IJITE), 59 (01), 1–8.

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APA Style

Hassan Elnour Adam, Abdelmonem Younis Adam Yahya, Salih Omer Tutu, Salim Mohamed Suliman, Mohammed Hamed Mohammed, et al. (2023). Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing. International Journal of Natural Resource Ecology and Management, 8(2), 49-55. https://doi.org/10.11648/j.ijnrem.20230802.12

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ACS Style

Hassan Elnour Adam; Abdelmonem Younis Adam Yahya; Salih Omer Tutu; Salim Mohamed Suliman; Mohammed Hamed Mohammed, et al. Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing. Int. J. Nat. Resour. Ecol. Manag. 2023, 8(2), 49-55. doi: 10.11648/j.ijnrem.20230802.12

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AMA Style

Hassan Elnour Adam, Abdelmonem Younis Adam Yahya, Salih Omer Tutu, Salim Mohamed Suliman, Mohammed Hamed Mohammed, et al. Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing. Int J Nat Resour Ecol Manag. 2023;8(2):49-55. doi: 10.11648/j.ijnrem.20230802.12

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@article{10.11648/j.ijnrem.20230802.12,
  author = {Hassan Elnour Adam and Abdelmonem Younis Adam Yahya and Salih Omer Tutu and Salim Mohamed Suliman and Mohammed Hamed Mohammed and Uttam Kumar Sahoo},
  title = {Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing},
  journal = {International Journal of Natural Resource Ecology and Management},
  volume = {8},
  number = {2},
  pages = {49-55},
  doi = {10.11648/j.ijnrem.20230802.12},
  url = {https://doi.org/10.11648/j.ijnrem.20230802.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20230802.12},
  abstract = {The study was conducted in Shiekan locality in North Kordofan State, Sudan and aimed to identify, assess and mapping of the land use and land cover (LULC) changes and trends in the last three decades (1989 to 2019). Satellite imageries of Landsat 5 TM (1989) and (2009), Landsat 7 ETM+ (2000), and Landsat 8 OLI (2019), covering path and row 174/51 and 175/51 were acquired in dry seasons. Image pre-proccessig, image classification (maximum likelihood) and accuracy assessment were applied. Remotely sensed data were processed and analyzed using ERDAS 9.1 and ArcGIS10.0 software. Results showed that the LULC in Sheikan locality were identified into eight classes (water, trees, shrubs, sandy soil, gardud lands, agricultural lands, rangeland and bare soil, and residential). The trees class showed an increase from 2.36% (2000) to 2.51% (2009) and decreasing in 2019 (1.87%). While, classified imageries indicated an increase of agricultural land from 69.2% in 1989 to 72.2% in 2019 as dominant class, followed by shrub lands increased from 18% in 1989 to 23.1% in 2019 in Sheikan locality. The overall obtained accuracy for classified maps was 87.50%, 89.29%, 90.20%, and 80.77% for 1989, 2000, 2009, and 2019, respectively. The study revealed that expansion of agricultural lands, climate change and illicit felling of trees are the main reseaons for natural resources degradation, mainly forest and rangelands in Shiekan locality. Use of remote sensing and GIS in assessment and monitoring of natural resources in arid and semi-arid area is highly recommended.},
 year = {2023}
}

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TY  - JOUR
T1  - Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing
AU  - Hassan Elnour Adam
AU  - Abdelmonem Younis Adam Yahya
AU  - Salih Omer Tutu
AU  - Salim Mohamed Suliman
AU  - Mohammed Hamed Mohammed
AU  - Uttam Kumar Sahoo
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ijnrem.20230802.12
DO  - 10.11648/j.ijnrem.20230802.12
T2  - International Journal of Natural Resource Ecology and Management
JF  - International Journal of Natural Resource Ecology and Management
JO  - International Journal of Natural Resource Ecology and Management
SP  - 49
EP  - 55
PB  - Science Publishing Group
SN  - 2575-3061
UR  - https://doi.org/10.11648/j.ijnrem.20230802.12
AB  - The study was conducted in Shiekan locality in North Kordofan State, Sudan and aimed to identify, assess and mapping of the land use and land cover (LULC) changes and trends in the last three decades (1989 to 2019). Satellite imageries of Landsat 5 TM (1989) and (2009), Landsat 7 ETM+ (2000), and Landsat 8 OLI (2019), covering path and row 174/51 and 175/51 were acquired in dry seasons. Image pre-proccessig, image classification (maximum likelihood) and accuracy assessment were applied. Remotely sensed data were processed and analyzed using ERDAS 9.1 and ArcGIS10.0 software. Results showed that the LULC in Sheikan locality were identified into eight classes (water, trees, shrubs, sandy soil, gardud lands, agricultural lands, rangeland and bare soil, and residential). The trees class showed an increase from 2.36% (2000) to 2.51% (2009) and decreasing in 2019 (1.87%). While, classified imageries indicated an increase of agricultural land from 69.2% in 1989 to 72.2% in 2019 as dominant class, followed by shrub lands increased from 18% in 1989 to 23.1% in 2019 in Sheikan locality. The overall obtained accuracy for classified maps was 87.50%, 89.29%, 90.20%, and 80.77% for 1989, 2000, 2009, and 2019, respectively. The study revealed that expansion of agricultural lands, climate change and illicit felling of trees are the main reseaons for natural resources degradation, mainly forest and rangelands in Shiekan locality. Use of remote sensing and GIS in assessment and monitoring of natural resources in arid and semi-arid area is highly recommended.
VL  - 8
IS  - 2
ER  -

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Author Information

Hassan Elnour Adam

Faculty of Natural Resources and Environmental Studies, University of Kordofan, Obeid, Sudan
Abdelmonem Younis Adam Yahya

Faculty of Natural Resources and Environmental Studies, University of Kordofan, Obeid, Sudan
Salih Omer Tutu

Faculty of Natural Resources and Environmental Studies, University of Kordofan, Obeid, Sudan
Salim Mohamed Suliman

Land and Water Research Centre, Agricultural Research Corporation, Wad Medani, Sudan
Mohammed Hamed Mohammed

Faculty of Natural Resources and Environmental Studies, University of Kordofan, Obeid, Sudan
Uttam Kumar Sahoo

School of Earth Sciences & Natural Resource Management, Mizoram University, Aizawl, India

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APA Style

Hassan Elnour Adam, Abdelmonem Younis Adam Yahya, Salih Omer Tutu, Salim Mohamed Suliman, Mohammed Hamed Mohammed, et al. (2023). Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing. International Journal of Natural Resource Ecology and Management, 8(2), 49-55. https://doi.org/10.11648/j.ijnrem.20230802.12

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ACS Style

Hassan Elnour Adam; Abdelmonem Younis Adam Yahya; Salih Omer Tutu; Salim Mohamed Suliman; Mohammed Hamed Mohammed, et al. Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing. Int. J. Nat. Resour. Ecol. Manag. 2023, 8(2), 49-55. doi: 10.11648/j.ijnrem.20230802.12

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AMA Style

Hassan Elnour Adam, Abdelmonem Younis Adam Yahya, Salih Omer Tutu, Salim Mohamed Suliman, Mohammed Hamed Mohammed, et al. Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing. Int J Nat Resour Ecol Manag. 2023;8(2):49-55. doi: 10.11648/j.ijnrem.20230802.12

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@article{10.11648/j.ijnrem.20230802.12,
  author = {Hassan Elnour Adam and Abdelmonem Younis Adam Yahya and Salih Omer Tutu and Salim Mohamed Suliman and Mohammed Hamed Mohammed and Uttam Kumar Sahoo},
  title = {Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing},
  journal = {International Journal of Natural Resource Ecology and Management},
  volume = {8},
  number = {2},
  pages = {49-55},
  doi = {10.11648/j.ijnrem.20230802.12},
  url = {https://doi.org/10.11648/j.ijnrem.20230802.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20230802.12},
  abstract = {The study was conducted in Shiekan locality in North Kordofan State, Sudan and aimed to identify, assess and mapping of the land use and land cover (LULC) changes and trends in the last three decades (1989 to 2019). Satellite imageries of Landsat 5 TM (1989) and (2009), Landsat 7 ETM+ (2000), and Landsat 8 OLI (2019), covering path and row 174/51 and 175/51 were acquired in dry seasons. Image pre-proccessig, image classification (maximum likelihood) and accuracy assessment were applied. Remotely sensed data were processed and analyzed using ERDAS 9.1 and ArcGIS10.0 software. Results showed that the LULC in Sheikan locality were identified into eight classes (water, trees, shrubs, sandy soil, gardud lands, agricultural lands, rangeland and bare soil, and residential). The trees class showed an increase from 2.36% (2000) to 2.51% (2009) and decreasing in 2019 (1.87%). While, classified imageries indicated an increase of agricultural land from 69.2% in 1989 to 72.2% in 2019 as dominant class, followed by shrub lands increased from 18% in 1989 to 23.1% in 2019 in Sheikan locality. The overall obtained accuracy for classified maps was 87.50%, 89.29%, 90.20%, and 80.77% for 1989, 2000, 2009, and 2019, respectively. The study revealed that expansion of agricultural lands, climate change and illicit felling of trees are the main reseaons for natural resources degradation, mainly forest and rangelands in Shiekan locality. Use of remote sensing and GIS in assessment and monitoring of natural resources in arid and semi-arid area is highly recommended.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Spatio-Temporal Analysis of Land Use and Land Cover Changes in Shiekan Locality-North Kordofan State-Sudan Using Remote Sensing
AU  - Hassan Elnour Adam
AU  - Abdelmonem Younis Adam Yahya
AU  - Salih Omer Tutu
AU  - Salim Mohamed Suliman
AU  - Mohammed Hamed Mohammed
AU  - Uttam Kumar Sahoo
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ijnrem.20230802.12
DO  - 10.11648/j.ijnrem.20230802.12
T2  - International Journal of Natural Resource Ecology and Management
JF  - International Journal of Natural Resource Ecology and Management
JO  - International Journal of Natural Resource Ecology and Management
SP  - 49
EP  - 55
PB  - Science Publishing Group
SN  - 2575-3061
UR  - https://doi.org/10.11648/j.ijnrem.20230802.12
AB  - The study was conducted in Shiekan locality in North Kordofan State, Sudan and aimed to identify, assess and mapping of the land use and land cover (LULC) changes and trends in the last three decades (1989 to 2019). Satellite imageries of Landsat 5 TM (1989) and (2009), Landsat 7 ETM+ (2000), and Landsat 8 OLI (2019), covering path and row 174/51 and 175/51 were acquired in dry seasons. Image pre-proccessig, image classification (maximum likelihood) and accuracy assessment were applied. Remotely sensed data were processed and analyzed using ERDAS 9.1 and ArcGIS10.0 software. Results showed that the LULC in Sheikan locality were identified into eight classes (water, trees, shrubs, sandy soil, gardud lands, agricultural lands, rangeland and bare soil, and residential). The trees class showed an increase from 2.36% (2000) to 2.51% (2009) and decreasing in 2019 (1.87%). While, classified imageries indicated an increase of agricultural land from 69.2% in 1989 to 72.2% in 2019 as dominant class, followed by shrub lands increased from 18% in 1989 to 23.1% in 2019 in Sheikan locality. The overall obtained accuracy for classified maps was 87.50%, 89.29%, 90.20%, and 80.77% for 1989, 2000, 2009, and 2019, respectively. The study revealed that expansion of agricultural lands, climate change and illicit felling of trees are the main reseaons for natural resources degradation, mainly forest and rangelands in Shiekan locality. Use of remote sensing and GIS in assessment and monitoring of natural resources in arid and semi-arid area is highly recommended.
VL  - 8
IS  - 2
ER  -

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