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Special Mixture Analysis for Monitoring and Mapping Desertification Processes in semi-arid Areas

Applications of Remote Sensing in Monitoring Dryland North Kordofan State, Sudan
BuchKartoniert, Paperback
164 Seiten
Englisch
Rhombos-Verlagerschienen am15.10.20071., Aufl., Fernerkundung und angewandte Geoinformatik (TY500)
Land degradation due to environmental hazards or man malpracices coupled with successive drought episodes are major problems reducing the capacity of land to produce and regenerate spontaneously in the fragile arid zone of North Kordofan State. Traditional shifting cultivation together with concentration of livestock around perennial sources of water causes excessive utilization of forage plants and alters vegetation composition which ultimately contributes to vegetation and land degradation, sand encroachment and invasion by mobile dunes in the study area. To fill the gap in the technical knowledge with regard to application and adoption of spectral mixture analysis (SMA) and multi-temporal remote sensing data to detect and map desertification processes in semi-arid region of North Kordofan. Three Landsat MSS, TM and ETM+ scenes were selected. Linear mixture model (LMM) and Principle Component Analysis (PCA) were conducted. Eolain Mapping Index (EMI) was also used to map the areas that are frequently subjected to wind erosion hazard. Interpretation of ancillary data and field observations as well as statistical measurements was used to verify the role of human impacts on temporal change of both vegetation cover and sand soil. In this way of thinking, the current study tried to merge remote sensing, climatic and field data to enlighten the nature and consequences of desertification processes in the targeted area. This linkage imposes logical framework to the package of analysis untertaken by author.mehr

Produkt

KlappentextLand degradation due to environmental hazards or man malpracices coupled with successive drought episodes are major problems reducing the capacity of land to produce and regenerate spontaneously in the fragile arid zone of North Kordofan State. Traditional shifting cultivation together with concentration of livestock around perennial sources of water causes excessive utilization of forage plants and alters vegetation composition which ultimately contributes to vegetation and land degradation, sand encroachment and invasion by mobile dunes in the study area. To fill the gap in the technical knowledge with regard to application and adoption of spectral mixture analysis (SMA) and multi-temporal remote sensing data to detect and map desertification processes in semi-arid region of North Kordofan. Three Landsat MSS, TM and ETM+ scenes were selected. Linear mixture model (LMM) and Principle Component Analysis (PCA) were conducted. Eolain Mapping Index (EMI) was also used to map the areas that are frequently subjected to wind erosion hazard. Interpretation of ancillary data and field observations as well as statistical measurements was used to verify the role of human impacts on temporal change of both vegetation cover and sand soil. In this way of thinking, the current study tried to merge remote sensing, climatic and field data to enlighten the nature and consequences of desertification processes in the targeted area. This linkage imposes logical framework to the package of analysis untertaken by author.
Details
ISBN/GTIN978-3-938807-70-5
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2007
Erscheinungsdatum15.10.2007
Auflage1., Aufl., Fernerkundung und angewandte Geoinformatik (TY500)
Seiten164 Seiten
SpracheEnglisch
Gewicht400 g
Illustrationen50 farbige Abbildungen
Artikel-Nr.16395915

Autor

Manal Awad Khiry was born in 1970 in Karema, Northern State-Sudan. She has obtained her B.Sc. at the Faculty of Forestry, University of Khartoum in 1997, where she has been working as teaching assistant since then. She has been graduated with her M.Sc. at the Insitute of International Forestry and Forest Products, Dresden University of Technology - Germany in 2003. Recently (2007), she has aquired her PhD degree at the Institute of Photogrammetry and Remote Sensing, Dresden University of Technology. Ms. Khiry has distinguished herself as a conscientious and energetic pioneer in the field of remote sensing and GIS. Her teaching and practical capabilities have grown enormously as she has been enrolled in teaching process at the Institute of Photogrammetry and Remote Sensing. She participated in several international workshops and scientific forums. This assists her greatly to spread her excitements and to share her talents with others. Alongside the remote sensing and GIS as major field, Ms. Khiry has motivated her skills as key person with regard to some technical aspects in such major context as multiteporal satellite images analysis and land cover change in dryland.
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