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Spectral Mixture Analysis for Monitoring and Mapping Desertification Processes in Semi-arid Areas in North Kordofan State, Sudan

Multi-temporal remotely sensed data (MSS, TM and ETM+)were used for monitoring and mapping the desertification processes in North Kordofan State, Sudan.A liear mixture model (LMM) was adopted to analyse and the desertification proccesses by using the image endmembers. interpretation of ancillary data and field observation was adopted to verfiy the role of human impacts in the temporal changes in the study area. The findings of the study proved the powerfull of remotely sensed data in monitoring and mapping the desertification processes and come out with valuable recommendations which could contribute positively in reducing desert encroachment in the area.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:swb:14-1187262045124-42224
Date16 August 2007
CreatorsKhiry, Manal Awad
ContributorsTechnische Universität Dresden, Geowissenschaften, Prof. Dr. habil. Elmar Csaplovics, Prof. Dr. habil. Elmar Csaplovics, Prof. Dr. Joachim Hill, Prof. Dr. Marcus Nüsser
PublisherSaechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:doctoralThesis
Formatapplication/pdf

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