- title
- Spectral Mixture Analysis for Monitoring and Mapping Desertification Processes in Semi-arid Areas in North Kordofan State, Sudan
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:swb:14-1187262045124-42224
- Date of submission
- 24.04.2007
- Date of defense
- 26.06.2007
- Abstract (EN)
- 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.
- Keywords (DE)
- Sudan, Fernerkundung, Wüstenbildung, Nordkordofan
- Keywords (EN)
- Remote Sensing , Spectral Mixture Analysis (SMA), Desertification Processes, Semi-arid areas, North Kordofan , Sudan
- Classification (DDC)
- 550
- Classification (RVK)
- ZI 9560
- Examiner
- Prof. Dr. habil. Elmar Csaplovics
- Prof. Dr. Joachim Hill
- Prof. Dr. Marcus Nüsser
- Supervisor
- Prof. Dr. habil. Elmar Csaplovics
- Publishing house
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:swb:14-1187262045124-42224
- Qucosa date of publication
- 16.08.2007
- Document type
- doctoral_thesis
- Document language
- English
- licence
