Publications

  1. Gadallah, N. A. H., Hanoo, A. I. A., Diab, E and Omer G. 2021. Characterizing conservative and protective needs of the aridland forests  of Sudan, Journal of Forestry Research. 1-9.
  2. Omer, G. E. K. 2019. Remote Sensing of Endangered Tree Species in the Fragmented Dukuduku Indigenous Forest of KwaZulu-Natal, South Africa. University of KwaZulu-Natal, Pietermaritzburg. pp. 318. https://books.google.com/books?id=r9wDugEACAJ.
  3. Timothy, D., Mutanga, O. and Omer G. 2019. Assessing edge effect on the spatial distribution of selected forest biochemical properties derived using Worldview data in Dukuduku forests, South Africa, African Journal of Ecolog 00, pp. 1– 13. https://doi.org/10.1111/aje.12604.
  4. Omer, G. E. K. 2019. Remote Sensing of Endangered Tree Species in the Fragmented Dukuduku Indigenous Forest of KwaZulu-Natal, South Africa, University of KwaZulu-Natal, Pietermaritzburg, Doctoral Dissertations. July 2016. ukzn-dspace.ukzn.ac.za. pp 181.
  5. Mutanga, O., Timothy D. and Omer G. 2017. Remote sensing of crop health for food security in Africa: Potentials and constraints, Remote Sensing Applications: Society and Environment Vol. 8, pp. 231–239.
  6. Omer, G., Mutanga, O., Abdel-Rahman, E.M., Peerbhay, K., Adam, E. 2017. Mapping leaf nitrogen and carbon concentrations of intact and fragmented indigenous forest ecosystems using empirical modeling techniques and WorldView-2 data. ISPRS Journal of Photogrammetry and Remote Sensing Vol. 131, pp. 26-39.
  7. Omer G., Mutanga, O., Abdel-Rahman, E.M. and Adam, E. 2016. Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms, remote sensing Vol. 8, pp. 1-26.
  8. Omer, G., Mutanga, O., Abdel-Rahman, E.M. and Adam, E. 2015. Performance of support vector machines and artificial neural network for mapping endangered tree species using WorldView-2 data in Dukuduku forest, South Africa. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 8, pp. 4825-4840.
  9. Omer, G., Mutanga, O., Abdel-Rahman, E.M. and Adam , E. 2015. Exploring the utility of the additional WorldView-2 bands and support vector machines in mapping land use/land cover in a fragmented ecosystem, South Africa. South African Journal of geomatics Vol. 4, pp. 414-133.
  10. Omer, G., Elhassan, B.A. and Mohammed, F.A. 2015. Assessing the Impact of Different Land Use Activities on the Vegetation Cover and Sustainable Livelihoods along the Banks of Niles at Khartoum State, Sudan. Journal of Geoscience and Environment Protection Vol. 3, pp. 52-61.
  11. Omer, G., Mutanga, O., Abdel-Rahman, E.M. and Adam, E. 2014. Potential utility of the WorldView-2 multispectral data and support vector machines algorithm to classifying land use/cover in Dukuduku landscape, Kwazulu-Natal, South Africa, The 10th conference of the African Association of Remote Sensing of the Environment (AARSE), Johannesburg, South Africa, pp. 309-318.