Assessment of natural vegetation clearing and re-growth in southern Gadarif (Sudan) using change vector analysis based on remote sensing and field data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 36, Issue , 2006, Pages

  Sulieman, H M ^a   Buchroithner, M F ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Change Vector Analysis; Clearance; Natural Vegetation; Re Growth

Indexed keywords

DEFORESTATION; LAND USE; PIXELS; POPULATION STATISTICS; REFORESTATION; SATELLITE IMAGERY; SUSTAINABLE DEVELOPMENT; VEGETATION;

AGRICULTURAL PRODUCTIONS; CHANGE VECTOR ANALYSIS; CLASSIFICATION ACCURACY; CLEARANCE; NATURAL VEGETATION; RE-GROWTH; STRATIFIED RANDOM SAMPLING; SUPERVISED CLASSIFICATION;

REMOTE SENSING;

EID: 47249159310     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Asefa, D. T., Oba, G., Weladji, R. B.and Colman, J. E, 2003. An assessment of restoration biodiversity in degraded high mountain grazing lands in Northern Ethiopia. Land Degradation. Development. 14, pp.25-38.
2. Ayoub, A. T., 1999. Land degradation, rain-fed variation and food production in the Sahelian zone of Sudan. Land Degradation and Development, 10, pp. 489 - 500.
3. Coppin, P. R. and Bauer, M. E., 1996. Change Detection in Forest Ecosystems with Remote Sensing Digital Imagery. Remote Sensing Reviews, 13, pp. 207-234.
4. Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. and Lambin, E., 2004. Digital change detection methods in ecosystem monitoring: a review. International. Journal of Remote Sensing, 25(9), pp.1565 -1596.
5. El Houri, A., 1993. Land restoration and re-vegetation. In: Role of Forestry in combating desertification. FAO conservation guide 21, FAO, Rome, Italy.
6. FRA, Global Forest Resources Assessment, 2005. Country Report 212: Sudan, Forestry Department, FAO, Rome.
7. Groß, D., 2003. Development of a semi-automated approach to map wetland changes in semi arid regions, using satellite data. Diplomarbeit, TU Dresden and ITC.
8. Harrison, M.N. and Jackson, J. K., 1958. Ecological Classification of the Sudan. Forest Department, Forest Bulletin No. 2, Ministry of Agriculture, Khartoum, Sudan.
9. Hassan, K. I., 2002. An Assessment of Natural Resources: with emphasis on agriculture and food security. The Environmentalists Society, Rio+10 Review Report, EDGE for consultancy & research, http://www.worldsummit2002.rg/texts /SudanRKamil (accessed 11 Oct. 2005).
10. Huston, M. A., 1995. Biological diversity: the coexistence of species on changing landscapes, Cambridge Univ. Press, pp. 558 - 574.
11. Johnson, R. D., and Kasischke. E. S., 1998. Change vector analysis: a technique for multi-spectral monitoring of land cover and condition. International. Journal of Remote Sensing,19 (3), pp. 411- 426.
12. Kauth, R. J. and Thomas, G. S., 1976. The Tasseled Cap - A graphic description of the spectral development of the agricultural crops as seen by Landsat. In: Proceedings on Symposium on Machine Processing of Remotely sensed Data. West Lafayette, Indiana, Purdue University, 29 June - 2 July 1976. pp. 41 - 51.
13. Lambin, E. F. and Strahler, A. H., 1994. Change-vector analysis in multi-temporal space: A tool to detect and categorize land-cover processes using high temporal-resolution satellite data. Remote Sensing of the Environment. 48, pp. 231 - 244.
14. Malila, W., 1980, Change vector analysis: an approach for detecting forest changes with Landsat. In Proceedings of the 6th Annual Symposium on Machine Processsing of Remotely Sensed Data. West Lafayette, Indiana, Purdue University, 3 - 6 June 1980. pp. 326 - 335.
15. Markham, B. L., and Barker, J. L., 1987. Radiometric properties of U.S. processed Landsat MSS data. Remote Sensing of Environment, 22, pp. 39 - 71.
16. Mohamed, Y. A., Fadlalla, B., Abdalla, A., El Amin, M. and Adel Rahman, A., 1996. Indicators of recovery in biomass and soil organic matter of Sudan's Sahel Region: A Case study of Northern Kordofan. Dryland Husbandry in the Sudan. DHP Publications Series. No. 1. OSSREA. Addis Ababa, Ethiopia.
17. Nackaerts, K., Vaesen, K., Muys, B. and Coppin,P., 2005. Comparative performance of a modified change vector analysis in forests change detection. International. Journal of Remote Sensing, 26(5), pp. 839 - 852.
18. Peterson, D. L., Egbert, S. L., Price K. P. and Martinko, E. A., 2004. Identifying historical and recent land cover changes in Kansas using post-classification change detection techniques. Transactions of the Kansas Academy of Science, 107(3), pp. 105-118.
19. Richards, J. A. and Jia, X., 1999. Remote Sensing Digital Image Analysis, An Introduction. Springer, Berlin. pp. 259 - 291.
20. SCSB (Sudan Country Study on Biodiversity), 2001. National Biodiversity Strategy and Action Plan, Khartoum, Sudan.
21. Singh, A., 1989, Digital change detection techniques using remotely-sensed data., International. Journal of Remote Sensing 10, pp. 989-1003.
22. SKAP (Southern Kassala Agricultural project), 1992. Land use survey report (Main report). Vol. 1. Khartoum, Sudan.
23. UNFPA (United Nations Population Fund), 2003. State of World Population 2003.
24. Westman, W. E., Strong, L. L. and Wilcox, B. A., 1989. Tropical deforestation and species endangerment: the role of remote sensing. Landscape Ecology, 3(2), pp. 97- 109.
25. Warner, T., 2005. Hyperspherical direction cosine change vector analysis. International. Journal of Remote Sensing 26(6) pp. 1201-121.
26. Zheng, D., Wallin, D. O., and Hao, Z., 1997. Rates and patterns of landscape change detection between 1972 and 1988 in the Changbai Mountain area of China and North Korea. Landscape Ecology, 12, pp. 241 - 254.