Remote Sensing GIS Based Spatio-temporal temporal Land Use/ Cover Study of Western Ethiopian Highlands –A Case of Jima Arjo District
Keywords:
Land Use/Cover, Satellite Images, Change detection, Vulnerability to changeAbstract
This paper was aimed at studying the spatio-temporal dynamics of land use/cover over western Ethiopian highlands in the period 1973 to 2006 years (for 33 years) and its future trend. In order to analyze the status of dynamics, the whole study period was categorized in to three periods; 1973-1986, 1986- 2001 and 2001-2006. Four different time landsat satellite images (1973, 1986, 2001 and 2006) were obtained and classified into the existing seven major land use/cover types (farmland, dense forestland, degraded forestland, open woodland, grassland, wetland and bare land) using remote sensing-GIS technology. From post-classification change detection among the image data, Jima Arjo district experienced various levels of land use/cover dynamics. Much of the area has been converted in to farmland ( 170.54 sq. km) with an average expansion of 5.168 sq.km per year. Maximum rate of farmland expansion was recorded during the 1986 to 2001 years period were 151.715 sq. km of the area became farmland. Vegetations showed loss and gain changes. Forested areas were diminished greatly due to their conversion to other forms of land use/cover across the whole period. Much of the original dense forests (171.16 sq. km of the area) were lost with 5.186 sq.km average annual loss. Extreme forest loss s was recorded during the 1973 to 1986 years period were 112.6 sq. km has been lost. Wetlands were also showed reduction in extent. Of the original 84.52 sq.km wetland, only 0.84 sq.km has been identified at the final study period. Analysis of the land use cover distribution across various slope categories also showed that steep slopes were made farmlands. On the latest image, 7.3814 sq. km area of slope with more than 25 0 and 30.0892 sq. km area with slope range of 12 0 to 25 0 were converted in to farmlands. Vulnerability to change has been modeled and predicted based on the latest land use/cover data. Four levels of vulnerability to change: extremely vulnerable, highly vulnerable, moderately and low vulnerable to change were i identified. Vegetations, particularly degraded forest shared 65.2% of extremely high vulnerability level to change. Almost all the remaining dense forestland became extremely and highly vulnerable to change/transformation.
Downloads
Metrics
References
Bedru Sherefa (2006). Remote Sensing and GIS for Land Cover/Land Use Change Detection and Analysis in the Semi Natural Ecosystems and Agricultural Landscapes of the Central Ethiopian Rift valley. Submitted for fulfillment of Doctor of Natural Science (Dr. rer.nat). Dresden, Germany. P. 60.
Botkin B. Daniel and Keller A. Edward (2005). Environmental Science: Earth as a Living Planet (5th Edition); John Wiley and Sons, INC; USA
Eastman Ronald, J. (2006). IDRISI Andes Guide to GIS and Image Processing; Clark Labs, Clark University.
Eastman Ronald, J., Solorzano, A. Luis and Van Fossen
E. Megane. (2005). Transition Potential Modeling for Land Cover Change; In: Maguire J. David, Batty Michael, Goodchildhood F. Michael; GIS, Spatial Analysis and Modelling, Esri, USA.
Hey wood Ian., Cornelius Sarah and Steve Carver (2002). An Introduction to Geographical information System, Pearson Education limited, UK.
Hurni Hans (1986). Guide Lines for Development Agents on Soil Conservation in Ethiopia: Community Forest
and Soil Conservation Development Department, Ministry of Agriculture, Addis Ababa. Pp. 81-84.
ITT (2006). ENVI: The Remote Sensing Platform of Choice: Version 4.3 User’s Guide; ITT Industries, Inc., USA
Krauer Jurg (1988). Rainfall Erosivity and Isoerodent Map of Ethiopia: Soil Conservation Research Project Report 15; University of Berne, Switzerland. Pp. 1-63.
Lillesand, M.T. and Kiefer W.R. (2000). Remote Sensing and Image Interpretation (4th ed.), John Wiley &Sons, Inc, New York, USA.
Lillesand M. Thomas., Kiefer W. Ralph and Chipman W. Jonathan. (2004). Remote Sensing and Image Interpretation 5th Edi), John Wiley & Sons, Inc., USA.
Mannion, M.A. (2002). Dynamic World, Land Cover and Land Use Change, Arnold, London.
Mather M. Paul (2004), Computer Processing of Remotely-Sensed Images, An Introduction, (3rd Edition), John Wiley & Sons Ltd, England.
Mesfin Abebe (1998). Nature and Management of Ethiopian soils; Alemaya University of Agriculture, Ethiopia.
Meyer B. William and Turner II L.B. (1998). Global land Use and Land Cover Change: An Over View. In: Meyer B. William and Turner II L.B. (ed), Changes in Land Use and Land Cover: A Global Perspective, Cambridge University Press, United Kingdom.
Ministry of Agriculture & Rural Development of Ethiopia, Regional Land Management and World Agro forestry Center (2005). Managing Land: A Practical Guidebook for Development agents in Ethiopia; AG Printing and Publishing Ltd, Kenya. Pp. 2-14 and106-158.
Solomon Abate (1994). Land Use Dynamics, Soil Degradation and Potential for Sustainable Use in Metu Area, Ilubabor Region, Ethiopia. Geographica Bernensia and Geographical Society of Berne. University of Berne, Switzerland. Pp. 3-24 and 59-71.
Taffa Tulu (2002). Soil and Water Conservation for Sustainable Agriculture; Mega Publishing Enterprise, Addis Ababa. Pp. 1-6 and 36-37.
Troeh, F.R., Hobbs, J.A., and Donahue, R.L. (1980). Soil and Water conservation for productivity and environmental protection, Prentice Hall, Inc, Englewood cliffs, New Jersy.
Turyahabwe Nelson., Mwesigye David., Tumusiime., Kakuru Willy and Barasa Bernard (2013). Wetland Use/Cover Changes and Local Perceptions in Uganda Canadian Center of Science and Education 2(4).
Wall S.L., Thomas R.W., and Brown C.E. (1982). A Landsat-Based Inventory Procedure for Agriculture in California.” In McDonald D. C. and Morrison D.B. (ed), Machine Processing of remotely Sensed data With Special Emphasis on Crop Inventory and Monitoring (Eighth International symposium), Purdue research Foundation, Indiana, USA.
World Bank (2006). Sustainable Land Management: Challenges, Opportunities and Trade-offs, Washington DC, USA.
Wright Lawrie (1993). Environmental Systems and Human Impact: Cambridge University Press, London. Pp. 12- 39.
Downloads
Published
How to Cite
License
Copyright (c) 2015 journal of Science, Technology and Arts Research
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
STAR © 2023 Copyright; All rights reserved