International Journal of Life Science and Engineering
Articles Information
International Journal of Life Science and Engineering, Vol.1, No.4, Sep. 2015, Pub. Date: Jul. 9, 2015
Using MODIS- Derived NDVI and SAVI to Distinguish Between Different Rangeland Sites According to Soil Types in Semi-Arid Areas of Sudan (North Kordofan State)
Pages: 150-164 Views: 3415 Downloads: 1568
Authors
[01] Nancy Ibrahim Abdalla, Sudan University of Science and Technology, College of Forestry& Range Science, Khartoum, Sudan.
[02] Abdelaziz Karamalla Gaiballa, Sudan University of Science and Technology, College of Forestry& Range Science, Khartoum, Sudan.
[03] Christoph Kätsch, Georg-August University, Faculty of Resource Management, Gottingen, Germany.
[04] Mahgoub Sulieman, Sudan University of Science and Technology, College of Forestry& Range Science, Khartoum, Sudan.
[05] Abdalbasit Mariod, College of Science & Arts, University of Jeddah, Alkamil, KSA; Sudan University of Science and Technology, College of Agricultural Studies, Khartoum North, Sudan.
Abstract
This study was conducted to investigate the use of remote sensing data to distinguish between different rangeland sites. Three rangeland sites were selected based on soil types and variation in vegetation cover. Normalized Difference Vegetation Index and The soil-adjusted vegetation index were used. All selected rangeland sites exhibited NDVI and SAVI. Results showed that there were a number of important implications regarding using NDVI and SAVI. The results revealed that, the characteristics and different types of soils characterize different rangeland land sites as basic units for assessing special change when monitoring rangelands in semi-arid areas. Therefore, for better differentiation capacity we need to increase our understanding of vegetation structure and soil type in each range site.
Keywords
Semiarid Areas, Natural Rangeland, Soil Types, Remote Sensing, MODIS, Time-Series, NDVI, SAVI
References
[01] Aguilara, C. Julie C. Z. María, J. Donald, R. Young. (2012). NDVI as an indicator for changes in water availability to woody vegetation Cristina. Ecological Indicators 23 (2012) 290–300.
[02] Ahmad, F. (2012). Spectral vegetation indices performance evaluated for Cholistan Desert. Journal of Geography and Regional Planning. Vol. 5 (6),pp. 165-172.
[03] Cakir, H. I. Khorram, S. Nelson, S. A. (2006). Correspondence analysis for detecting land covers change. Remote Sensing of Environment 102: 306-317.
[04] Chahouk, M.A. Khalasi, L and Azarnivand, H. (2012). Environmental Factors Effects on Distribution of Vegetation Types in Dary an Rangelands of Iran International Conference on Chemical, Environmental and Biological Sciences (ICCEBS) Penang, Malaysia.
[05] Cummins, B. (2009). Bear Country: Predation, Politics, and the Changing Face of Pyrenean Pastoralism. Carolina Academic Press, Durham, North Carolina. 355 pp.
[06] Darag, A. and Yousif, E. (1996). The savannah Rangeland of the Sudan. In Dryland Husbandry in the Sudan. Workshop Report. OSSREA, DHP publications Series, edited by tegegne Teka.no.1:24-45 Addis Ababa.
[07] Elhag, M. and Walker, S. (2008). Impact of Climate change and the Human Activities on land degradation in Arid and Semi-arid Region. The3rd International Conference on Water Resources and Arid Environments and the 1st Arab Water Forum.
[08] Frederiksen, P. (1993). Satellite based assessment and monitoring of land degradation in semi arid tropical Africa- aspect of soil/vegetation complex. Earsel advances in remote sensing. Vol.2, N 0.3-X1.
[09] Ghaemi, M. Sanaeinejad S. H. and Astaraei, A. (2012). Vegetation Cover Assessment Based on Soil Properties in Arid and Semi-arid Areas using Landsat Images: A Case Study in Neyshaboor Area. Asian Journal of Plant Sciences, 11: 9-18.
[10] Huete, A. R., and Jackson, R. D. (1987). Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands, Remote Sensing of Environ.,25:89-105.
[11] Huete, A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ. 1988, 25, 295-309.
[12] Jensen, J. R. (1996). Introductory Digital Image Processing: A Remote Sensing Perspective, 2nd edition, Prentice Hall,New Jersey.
[13] Manske, L. (2002). Grassland ecosystem monitoring: A nonquantitative procedure for assessing rangeland performance status, Annual Report. Dickinson Research Extension Center.
[14] Post, D. F., E. H. Horvath, W. M. Lucas, S. A. White, M. J. Ehasz, and A. K. Batchily. 1994. Relationship between soil color and Landsat re ectance on semiarid rangelands. Soil Science Society of America Journal 58:1809±1826.
[15] Peng, Q and Jian-fei, CH. (2008). A Comparison between NDVI and SAVI for Vegetation Spatial Information Retrieval Based on ASTER Images: A Case Study of Huadu District, Guangzhou (School of Geographical Sciences, Guangzhou University, Guangzhou 510006,China) tropical geography.
[16] Revees, M. C. Winslow, J. C. and Running, S. W (2001). Mapping weekly rangeland vegetation productivity using MODIS Algorithm. Journal 54:90-150.
[17] Verhulst, N., Govaerts, B., Sayre, K. D., Deckers, J., François, I. M., and Dendooven, L.(2009). Using NDVI and soil quality analysis to assess influence of agronomic management on within-plot spatial variability and factors limiting production. Plant Soil, 317: 41–59.
[18] Weiss, J. L. Gutlzer, D. S. Coonrod, A and Dahm, N. C. (2004). Long term Vegetation Monitoring with NDVI in a Diverse Semi-arid Setting, Central New Mexico, USA. Journal of Arid Environments, 58:248-271
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