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.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Technische Universität Dresden

Year

2007

Author dc:creator

• Khiry, Manal Awad

Contributors dc:contributor

• Csaplovics, Elmar
• Hill, Joachim
• Nüsser, Marcus

• Remote Sensing
• Spectral Mixture Analysis (SMA)
• Desertification Processes
• Semi-arid areas
• North Kordofan
• Sudan
• Fernerkundung
• Wüstenbildung
• Nordkordofan