• Curriculum Vitae
  • Academic qualifications
  • Employment
  • Teaching Activities
  • Administrative activities
  • Supervision of students
  • Membership
  • Research interest
  • Journals for which I act as a reviewer
  • Publications
  • Workshops and seminars
  • References

Publications

 

Peer-reviewed journals

 

  1.  Abdel-Rahman, E. M., Mutanga,O., Odindi, J. Adam,E., Odindo, A., and Ismail, R. In Review. A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data. Computers and Electronic in Agriculture.
  2. 2.    Mutanga, O., Adam, E., Adjorlolo, C., Abdel-Rahman, E., and Cho, M. In Review. Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using Worldview-2 image as independent test dataset. International Journal of Applied Earth Observation and Geoinformation.
  3. 3.    Elhadi, E., Mutanga, O., Odindi, J., and Abdel-Rahman, E. M. Accepted. Land use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. International Journal of Remote Sensing.
  4. 4.    Adam, E., Mutanga, O., Abdel-Rahman, E. M., and Ismail, R. 2014. Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and the random forest regression. International Journal of Remote Sensing, 35, 693–714.
  5.     Abdel-Rahman, E. M., Mutanga, O., Adam, E., and Ismail, R. 2014. Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers. ISPRS Journal of Photogrammetry and Remote Sensing,88, 48–59.
  6.   Abdel-Rahman, E. M., Way, M., Ahmed, F., Ismail, R., Adam, E., 2013. Estimation of thrips (Fulmekiola serrata Kobus) density in sugarcane using leaf level hyperspectral data. South African Journal of Plant and Soil, 30, 91–96.
  7.      Eltegani, A. B. A. and Abdel-Rahman, E. M., 2013. Impact of chicken manure and sowing methods on alfalfa (Medicago sativa L.) growth, forage yield and some quality attributes. International Journal of Sudan Research, 3, 35–54.
  8.   Abdel-Rahman, E. M., Ahmed, F. B. and Ismail, R., 2013. Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data. International Journal of Remote Sensing,34, 712–728.
  9.   Abdel-Rahman, E. M., Abu Suwar, A. O. 2012. Effect of seeding rate on growth and yield of two alfalfa (Medicago sativa L.) cultivars. International Journal of Sudan Research, 2, 141–154.
  10.   Abdel-Rahman, E. M., Ahmed, F. B., van den Berg, M. and Way, M. J., 2010. Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection. International Journal of Remote Sensing,31, 4199–4216.
  11.    Abdel-Rahman, E. M., Ahmed, F. B. and van den Berg, M., 2010. Estimation of sugarcane leaf nitrogen concentration using in situ spectroscopy. International Journal of Applied Earth Observation and Geoinformation, 12S,S52–S57.
  12. Abdel-Rahman, E. M. and Ahmed, F. B., 2008. The application of remote sensing techniques to sugarcane (Saccharum spp. Hybrid) production: a review of the literature. International Journal of Remote Sensing, 29, 3753-3767.

 

Chapters in books

    1.  Mohamed, M. S., Abdel-Rahman, E. M, Siddig, K. H. A., Ibrahim, I. S. and Csaplovics, E., In Press. Land Use and Land Cover Changes in Northern Kordofan State of Sudan: A Remotely-Sensed Data Analysis. In: River Nile Basin: Ecohydrological Challenges, Climate Change, and Hydropolitics. A. M. Melesse, W. Abtew and S. G. Setegn (eds). Springer- International Publisher Science, NY, USA.

Abdel-Rahman, E. M., Ahmed, F. B. and Ismail, R., 2012. Random forest regression for sugarcane yield prediction in Umfolozi, South Africa based on Landsat TM and ETM+ derived spectral vegetation indices. In Sugarcane: Production, Cultivation and Uses. J. F. Goncalves and K. D. Correia (eds). NOVA Science Publishers, Inc. Hauppauge NY, USA, pp: 257-284

    1. Reviewed conference proceedings2.      Abdel-Rahman, E. M., van den Berg, M. Way, M. J., and Ahmed, F. B., 2009. Handheld spectrometry for estimating thrips (Fulmekiola serrata) incidence in sugarcane. Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IV-268 – IV-271.4.      Abdel-Rahman, E. M., Ahmed, F. B., van den Berg, M. and Way, M. J., 2008. Preliminary study on sugarcane thrips (Fulmekiola serrata) damage detection using imaging spectroscopy. Proceedings of South African Sugar Technologists’ Association, 81, 287–289.
    2. 3.      Abdel-Rahman, E. M., Ahmed, F. B. and van den Berg, M., 2008. Imaging spectroscopy for estimating sugarcane leaf nitrogen concentration. Proceedings of SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology X Conference, V-1 – V-12.
    3. 1.    Abdel-Rahman, E. M., van den Berg, M., Way, M. J., Ahmed, F. B. and Sewpersad, C., 2009. Using spectroscopic data sets to predict numbers of thrips (Fulmekiola serrata) in sugarcane. Proceedings of South African Sugar Technologists’ Association, 82, 441– 445.