Advertisement

Integration of Remote Sensing, GIS and MCDM for Land Capability Classification in Andit Tid Watershed, Ethiopia

  • Hamere YohannesEmail author
  • Teshome Soromessa
Research Article
  • 5 Downloads

Abstract

Land evaluation is the core component of land-use planning process, particularly where resource is limited and degraded, like Ethiopian Highland. Thus, evaluation of land in terms of its capability is important. The aim of land capability is to identify the physical inherent capacity of the land for different uses to avoid further degradation. Relevant data such as soil depth, soil texture, soil drainage, erosion hazard, altitude, slope and slope direction have been utilized for land capability evaluation in Andit Tid watershed. The integration of remote sensed data, geographical information system and multicriteria evaluation approach was used to obtain spatial information of land capability. The result revealed that the largest part of the watershed was occupied by class III 122.44 ha (25.87%) and the smallest part occupied by class VIII 3.6 ha (0.76%), characterized by very steep slope and rocky and used only as natural reserves. Class I, which claimed only few limiting factors, occupied only 7.65 ha (1.62%). The first four classes (I–IV), which have a capability for agricultural purpose, occupied 63%, class V and class VI occupied 119.2 ha (25.19%), capable for grazing, and class VII holds 51.63 ha (10.91%), capable for forestry. The main limiting factors for land capability classification were soil texture, soil depth, soil drainage and slope. As compared to the current land use, with the current land use, most of the lands are used against the capability classification of the land.

Keywords

Criteria GIS Remote sensing Multicriteria Land capability classes 

Notes

Acknowledgements

We acknowledge Addis Ababa University for financial and facility support. The authors are also grateful to the contribution of Water and Land Resource Center who provide major soil data and all participants during field survey.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. AbdelRahman, M. A. E., Natarajan, A., & Hegde, R. (2016). Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 125–141.  https://doi.org/10.1016/j.ejrs.2016.02.001.Google Scholar
  2. Aiello, A., Adamo, M., & Canora, F. (2015). Remote sensing and GIS to assess soil erosion with RUSLE3D and USPED at River Basin Scale in Southern Italy. CATENA, 131, 158–174.  https://doi.org/10.1016/j.catena.2015.04.003.Google Scholar
  3. Alemu, W. G., Amare, T., Yitaferu, B., Selassie, Y. G., Wolfgramm, B., & Hurni, H. (2013). Impacts of soil and water conservation on land suitability to crops: The case of Anjeni Watershed, Northwest Ethiopia. Journal of Agricultural Science, 5(2), 95–109.  https://doi.org/10.5539/jas.v5n2p95.Google Scholar
  4. Ayalew, G. (2015). Geographical Information System (GIS) based land capability classification of East Amhara Region, Ethiopia. Journal of Environment and Earth Science, 5(1), 80–87.Google Scholar
  5. Ayalew, G., & Yilak, T. (2014). A GIS based land capability classification of Guang Watershed, highlands of Ethiopia. Journal of Environment and Earth Science, 4(22), 161–166.Google Scholar
  6. Congalton, R. G. (2001). Of Wildland Fire. International Journal of Fire and Wildl, 10, 321–328.  https://doi.org/10.1071/WF01031.Google Scholar
  7. Congalton, R. G., & Green, K. (2009). Assessing the accuracy of remotely sensed data: Principles and practices (2nd ed.). London: Taylor & Francis Group.Google Scholar
  8. de Kort, A. (2013). Soil erosion assessment in the dryland areas of Bolivia using the RUSLE 3D model. Wageningen: Wageningen University.Google Scholar
  9. Demissie, F., Yeshitila, K., Mengistie, K., & Thomas, S. (2017). Land use/land cover changes and their causes in Libokemkem District of South Gonder, Ethiopia. Remote Sensing Applications: Society and Environment, 8, 224–230.  https://doi.org/10.1016/j.rsase.2017.10.001.Google Scholar
  10. Engda, T. A. (2009). Modeling rainfall, runoff and soil loss relationships in the Northeastern Highlands of Ethiopia. Andit Tid Watershed: Andit Tid Watershed.Google Scholar
  11. FAO. (1996). Land husbandry—components and strategy. In: E. Roose (Ed.), 70 FAO soils bulletin. Rome, Italy: FAO. Retrieved from http://www.fao.org/docrep/T1765E/T1765E00.htm.
  12. Gashaw, T., Tulu, T., Argaw, M., & Worqlul, A. W. (2018). Land capability classification for planning land uses in the Geleda watershed, Blue Nile Basin, Ethiopia. Modeling Earth Systems and Environment, 4, 489–499.  https://doi.org/10.1007/s40808-018-0448-7.Google Scholar
  13. Giménez Suárez, M. C. (2012). Current and potential water erosion estimation with RUSLE3D in Castellon province (Spain). Rev FCA UNCUYO, 44(2), 289–299. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=85111704&lang=es&site=ehost-live.
  14. Girma, R., Moges, A., & Quraishi, S. (2015). GIS Based physical land suitability evaluation for crop production in Eastern Ethiopia: A case study in Jello watershed. Agrotechnology, 5(1), 1–7.  https://doi.org/10.4172/2168-9881.1000139.Google Scholar
  15. Guzman, C. D., Tilahun, S. A., Zegeye, A. D., & Steenhuis, T. S. (2013). Suspended sediment concentration–discharge relationships in the (sub-) humid Ethiopian highlands. Hydrology and Earth System Sciences, 17, 1067–1077.Google Scholar
  16. Holden, S., Shiferaw, B., & Pender, J. (2005). Policy analysis for sustainable land management and food security in Ethiopia: A bioeconomic model with market imperfections. Washington, DC: International Food Policy Research Institute.Google Scholar
  17. Hurni, H. (2000). Area of Andit Tid, Shewa, Ethiopia: Long-term monitoring of the agricultural environment, 19821994. Soil Conservation Research Programme (SCRP).Google Scholar
  18. Hurni, K., Zeleke, G., Kassie, M., Tegegne, B., Kassawmar, T., Teferi, E., et al. (2015). Economics of Land Degradation (ELD) Ethiopia Case Study. Soil Degradation and Sustainable Land Management in the Rainfed Agricultural Areas of Ethiopia: An assessment of the economic implications. Report for the Economics of Land Degradation Initiative.Google Scholar
  19. Kefeni, K. (1995). Soil erosion and conservation in Ethiopia. In The workshop on coffee and other crops in coffee growing areas. Addis Ababa.Google Scholar
  20. Keyzer, M. A., & Sonneveld, B. G. J. S. (2001). The effect of soil degradation on agricultural productivity in Ethiopia: A non-parametric regression analysis. In N. Heerink, H. van Keulen, & M. Kuiper (Eds.), Economic policy and sustainable land use. Contributions to economics. Heidelberg: Physica.Google Scholar
  21. Kumar, S., & Kushwaha, S. P. S. (2013). Modelling soil erosion risk based on RUSLE-3D using GIS in a Shivalik sub-watershed. Journal of Earth System Science, 122(2), 389–398.  https://doi.org/10.1007/s12040-013-0276-0.Google Scholar
  22. Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2017). A review of remote sensing image classification techniques: The role of spatio-contextual information a review of remote sensing image classification techniques. European Journal of Remote Sensing, 47, 389–411.  https://doi.org/10.5721/EuJRS20144723.Google Scholar
  23. Lillesand, M., & Kiefer, R. W. (1999). Remote sensing and image interpretation (4th ed.). New York, NY: Wiley.Google Scholar
  24. Lu, D., & Weng, Q. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28, 823–870.  https://doi.org/10.1080/01431160600746456.Google Scholar
  25. Malczewski, J. (2000). GIS and multicriteria decision analysis. New York, NY: Wiley.Google Scholar
  26. Mekonnen, A. (1994). Erosion control in agricultural areas: An Ethiopian perspective. GTZ-Integrated Food Security Program Ethiopia.Google Scholar
  27. Melak, S. (2007). Land capability, irrigation potential and crop suitability analysis using GIS and remote sensing in Upper Kesem (Awash Basin). Addis Ababa: Addis Ababa University.Google Scholar
  28. Mu, Y. (2006). Developing a suitability index for residential land use: A case study in Dianchi Drainage Area.Google Scholar
  29. Öztürk, M., Bolat, I., Gökyer, E., & Kara, Ö. (2017). Land use suitability classification for the actual agricultural areas within the Bartin stream watershed of Turkey. Periodicals of Engineering and Natural Sciences, 5(1), 30–36.  https://doi.org/10.21533/pen.v5i1.70.Google Scholar
  30. Rabia, A. H., & Terribile, F. (2013). Introducing a new parametric concept for land suitability assessment. International Journal of Environmental Science and Development, 4(1), 15.  https://doi.org/10.7763/IJESD.2013.V4.295.Google Scholar
  31. Saaty, T. L. (1980). The analytic hierarchy process. New York, NY: McGraw-Hill International.Google Scholar
  32. Saaty, T. L. (2004). Decision making—The Analytic Hierarchy and Network Processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 13(1), 1–35.  https://doi.org/10.1007/s11518-006-0151-5.Google Scholar
  33. Sonter, R. O., & Lawrie, J. (2007). Soils and rural land capability, in soils: Their properties and management, 3rd edition (PEV Charma). Melbourne: Oxford University Press.Google Scholar
  34. Tegene, B. (2003). Combining land capability evaluation, geographic information systems, and indigenous technologies for soil conservation in Northern Ethiopia. Eastern Africa Social Science Research Review, 19(2), 23–53.Google Scholar
  35. USDA-SCS. (1992). Soil conservation service. Washington, DC: Soil Conservation Service.Google Scholar
  36. van Lanen, H. A. J. (1991). Qualitative and quantitative physical land evaluation: An operational approach. Wageningen: Wageningen University.Google Scholar
  37. WLRC. (2017). Ethiopia Metadata Catalogue (Water and Land Resources Center Ethiopia). Retrieved from http://www.wlrc-eth.org/. Accessed 3 Mar 2017.
  38. Yohannes, G. M. (1989). Land-use, agricultural production and soil conservation methods in the Andit Tid Area, Shewa Region. Research Report 17. University of Berne, Switzerland in Association with The United Nations University.Google Scholar
  39. Yohannes, H., Mohammed, A., & Elias, E. (2017). Land use/land cover dynamics and its impact on biodiversity resources in the Abijata Shalla National Park, Central Rift Valley Lakes Region, Ethiopia. Environmental Science: An Indian Journal, 13, 152.Google Scholar
  40. Zeleke, G. (2000). Implications of Land use and land cover dynamics for mountain resource degradation in the Northwestern Ethiopian highlands implications of land use and land cover dynamics for mountain resource degradation in the Northwestern Ethiopian Highlands. Mountain Research and Development, 21(2), 184–191.  https://doi.org/10.1659/0276-4741(2001)021.Google Scholar
  41. Zeleke, G. (2010). A study on mountain externalities in Ethiopia: Final report. Addis Ababa, Ethiopia.Google Scholar

Copyright information

© Indian Society of Remote Sensing 2019

Authors and Affiliations

  1. 1.Center for Environmental Science, College of Natural and Computational SciencesAddis Ababa UniversityAddis AbabaEthiopia
  2. 2.Natural Resource Management Department, College of Agriculture and Environmental ScienceDebre Berhan UniversityDebre BerhanEthiopia

Personalised recommendations