My name is Hatim Mohamed Ahmed Elamin. I was
born in Sudan in 1974. I have been graduated from the Faculty of Forestry,
University of Khartoum in 2000. I have joint University of Kordofan at the Gum
Arabic Research Centre as a research assistant in 2002. In 2005 I have got
scholarship from DAAD for master degree which was successfully finished in 2007
in Technical University of Dresden, Germany. In 2008 I became a researcher in
the Department of Gum Production at Gum Arabic Research Centre. I registered for
my PhD at the Dept. of Forestry and Range Sciences, Faculty of Natural
Resources and Environmental Studies, University of Kordofan in Oct. 2011. My
area of interest is applications of remote sensing and GIS in Natural resources
Hassan Elnour Adam was
born in 1970 in Elobeid, Sudan. He graduated from Faculty of
Forestry, University of Khartoum with B.Sc. (Hons.). He has been working as a
teaching assistant since 1995 in the Forestry and Range Sciences Department, University of Kordofan. In 2000 he obtained his MSc.
(Tropical Forestry) at the Technology University of Dresden, where he also
completed his PhD degree (2011) at the Institute of Photogrammetry
and Remote Sensing. Currently he is working as assistant professor at University of Kordofan, Sudan. Dr. Adam E. Hassan is an
expert in the area of application of remote sensing and GIS in sustainable
forest management and land use land cover analysis. He presented his research
in many international conferences. Also he enrolled in supervision of MSc. and
PhD students, lecturing and teaching of practical courses in the field of
remote sensing and applied geoinformation analysis. Dr. Adam E. Hassan is able
to accomplish a broad spectrum of tasks related to the fields of his study.
ABOUT OUR RESEARCH
Development of Above-ground Biomass for Acacia senegal Tree Using Satellites Imageries Case of North Kordofan Gum Belt, Sudan
Forests play an important role in global carbon cycling, since there are large pools of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon counting. The needs for reporting carbon stock changes for Kyoto Protocol have placed additional demands for accurate surveying methods that are verifiable, specific in time and space, and that cover large areas at acceptable cost.
Overall objective is to apply remote sensing data assessing above-ground biomass of Acacia senegal trees. Specifically, aiming at: 1) Measuring Acacia senegal tree attributes essential for biomass. 2) Determining accumulation and changes in carbon stock over successive periods. 3) Evaluating the effects of land use systems on accumulation of above ground biomass. This study base on two sources of data: secondary data will be obtained from remotely sensed data in form of satellite imageries, publications and books. Primary data will be obtained from field inventory and a questionnaire.
As expected output, biomass equation for above ground biomass of Acacia senegal trees will be developed and verified,