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Current IssueEditorial BoardOnline First Articles
Agricultural Reviews
Print ISSN: 0253-1496
Online ISSN: 0976-0741
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Chief Editor:
Pradeep K. Sharma
Sher-e-Kashmir Uni. of Agri. Sciences and Technology, J&K, INDIA
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Agricultural Reviews, volume 36 issue 1 (march 2015) : 14-25

High resolution remote sensing, GPS and GIS in soil resource mapping and characterization- A Review

Nisha Sahu*, G.P. Obi Reddy, Nirmal Kumar, M. S. S. Nagaraju
1National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur- 440 033, India.
Cite article:- Sahu* Nisha, Reddy Obi G.P., Kumar Nirmal, Nagaraju S. S. M. (2025). High resolution remote sensing, GPS and GIS in soil resource mapping and characterization- A Review . Agricultural Reviews. 36(1): 14-25. doi: 10.5958/0976-0741.2015.00002.1.

ABSTRACT

Timely and reliable information on soils with respect to their nature, extent, spatial distribution is very crucial for optimal utilization of available natural resources on a sustained basis. The technological advances in the field of remote sensing, Global Positioning System (GPS) and Geographic Information System (GIS) have augmented the efficiency of soil survey. The management of resources on sustainable basis emphasis the overall development of the region without diminishing the environment. The integrated use of advanced computer technologies with database can be used to assist decision makers for future plans. Yet, so far most of the studies have been performed on a small scale and only few on regional or larger map scale. Although progress has been made from earlier, current methods and techniques still bear potential to further explore the full range of spectral, spatial and temporal of high resolution satellites in soil resource mapping and characterization. Precisely, the present article, aims to review the status on the applications of high resolution remote sensing data like IRS-P6 LISS IV, PAN, Cartosat-I, IKONOS, GPS and GIS in soil resource inventory and characterization at large scale for the micro level agricultural planning.

REFERENCES

  1. Abuzar, M. and Ryan, S. (2001). Integrating multi-source remote sensing data for soil mapping in Victoria. Geoscience and Remote Sensing 6:2495-2497.
  2. Agarwal, C. S. (1998). Study of drainage pattern through aerial data in Naugarh area of Varanasi district, U.P. Jour. Indian Soc. Remote Sensing 26: 169-175.
  3. Ali, R. R. (2008). Digital Soil Mapping for Optimum Land Uses in some Newly Reclaimed Areas West of the Nile Delta, Egypt. Australian Journal of Basic and Applied Sciences 2:165-173.
  4. Asadi, S. S., Vasantha Rao, B. V. T. and Sekar, S. (2012). Creation of physical characteristics information for Natural Resources Management Using Remote sensing and GIS: A Model study. International Journal of Modern Engineering Research 2(2): 226-232.
  5. ASD.(1995). Cropping System analysis using temporal IRS-LISS II data - A case study of Madnur Watershed, Nizamabad district, AP. PG Diploma Training project report of Agriculture and Soils Division, IIRS, Dehradun.
  6. Barala, T. N. (2010). A Sustainable Land Use Model for Nepal -A Case Study of Nawalparasi. Applied Geoinformatics for Society and Environment 55-65.
  7. Barnes, G. B. and Eckl, M. (1996). Pioneering a GPS methodology for cadastral surveying: Experience in Albania and Belize, Geomatics Programme, University of Florida, Gainesville, USA.
  8. Barnes, G. B., Chaplin, D., Moyer, D., DesRoche, E., Eckl, M. and Santori, M. (1998). GPS methodology for cadastral surveying and mapping in Albania, working paper no.17, Albania Series, Land Tenure Centre, University of Wisconsin- Madison.
  9. Beckett, P. H. T. and Webster, R. (1971). Soil variability: a review. Soils and Fertilizers 34:1–15.
  10. Bell, J. C., Lunningham, R. L. and Havens, M. W. (1994). Soil drainage class probability mapping using a soil-landscape model. Soil Science Society of American journal 58:464-470
  11. Ben-Dor, E., Patkin, K., Banin, A. and Karnieli, A. (2008). Imaging spectrometry for soil applications. Advances in Agronomy 97:321-392.
  12. Biswas,S., Sudhakar,S., and Desai, V.R. (1999). Prioritisation of sub-watersheds based on Morphometric analysis of drainage basin-a remote sensing and GIS approach. Journal of Indian society of Remote Sensing 27:155-166.
  13. Blarzcsynski .(1997). Landforms characterization with GIS. Photogrammetric Engineering and Remote Sensing 63(2):183-193.
  14. Boonyanuphap, J., Wattanachaiyingcharoen, D. and Sakurai, K. (2004). GIS-based land suitability assessment for Musa (ABB group) plantation. Journal of Applied Horticulture 6(1):3-10.
  15. Burrough, P. A. (1986). Principles of Geographic Information Systems for Land Resource Assessment. Clarendon, Oxford.
  16. Burrough, P. A. and McDonnel, R. A. (1998). Principles of Geographical Information Systems. Oxford University Press.
  17. Ceballos-Silva, A. and Lopez-Blanco, J. (2003). Delineation of suitable areas for crops using a multi-criteria evaluation approach and land use/cover mapping: a case study in Central Mexico. Agricultural Systems 77:117-136.
  18. Chandra Sekhar, B. and Govindappa, K. (2009). Wastelands development in Andhra Pradesh with particular reference to Ananthapur District. My Forest 45(3):251-260.
  19. Chikhaoui, M., Bonn, F., Bokoye, A. I. and Merzouk, A. (2005). A spectral index for land degradation mapping using ASTER data: Application to a semi-arid Mediterranean catchment. International Journal of Applied Earth Observation and Geoinformation 7:140–153.
  20. Cowen, D. (1987). GIS versus CAD versus DBMS: what are the differences? Photogrammetric Engineering and Remote Sensing 54: 1551-1555.
  21. Cronin, R. (2009). Exploiting natural resources: Growth, instability and conflict in the Middle East and Asia. The Henry L. Stimson Centre. Washington.
  22. Curran, P. J. (1985). Principles of Remote Sensing. Longman Group Limited, London.
  23. Das, A., Mondal, M., Dar, B. and Ghosh, A. R. (2012). Analysis of drainage morphometry and watershed prioritization of Bandu watershed, Purulia, WB through RS and GIS technology- A case study. International Journal of Geomatics and Geosciences 2(4): 995-1013.
  24. Dent, D. and Young, A. (1981). Soil Survey and Land Evaluation , Goerge Allen & Unwin, London.
  25. Dhinwa, P. S., Arya, A. S., Pathan, S. K. and Vyas, P. R. (2010). Generation of Action Plans at Implementation Level Using IRSP6, LISS-4 MX Data at 1:12,5000 Scale – A Case Study of Nalchha Microwatershed, Dhar District (M.P.): 1-4.
  26. Dickinson, H. and Calkins, H. W. (1988). The economic evaluation of implementing a GIS. International Journal of Geographical Information Systems 2:307-327.
  27. Dobos, E., Micheli, E., Baumgardner, M. F., Biehl, L. and Helt, T. (2000). Use of combined digital elevation model and satellite radiometric data for regional soil mapping. Geoderma 97:367–391.
  28. Dwivedi, R. S. (2001). Soil resource mapping: a remote sensing perspective. Remote Sensing Reviews 20: 89–122.
  29. Ekanayake, G. K. and Dayawansa, N. D. K. (2003). Land Suitability Identification for a Production Forest through GIS Technique. Forestry and Biodiversity. Map India Conference.
  30. Gessler, P. E. (1996). Statistical soil–landscape modelling for environmental management. Doctoral Dissertation, The Australian National University, Canberra, Australia.
  31. Gosain, A. K. and Rao, S. (2004). GIS-based technologies for watershed management. Current Science 87:948–953.
  32. Hammer, R. D., Young, N. C., Wolenhaupt, T. L. (1995). Slope class maps form soil survey and digital elevation models. Soil Science Society of America Journal. 59:509-519.
  33. Hanna, F., M.A., Wahab and Ali R. R. (2000). Land suitability classification of some soils south and west Nile Delta Egypt” 3rd Conference of Egyptian Soil Science Society (ESSS), Cairo, Egypt.
  34. Hanna, F., Labib, F., Wahab, M. A. and Ageeb, G. W. (2002). Soil derived from shale deposits in Egypt. 2- Land capability and suitability. Egyptian Soil Science Society (ESSS). Golden Jubilee Congress, Oct., 23-25, Cairo. Egypt.
  35. Hengl, T. and Reuter, H. I. (2008). Geomorphometry: Concepts, Software, Applications (33rd ed.,) Elsevier. Amsterdam: 772p.
  36. Hiese, N., Mich, N., Yanthan, M., Yeptho, H. and Mor, S. (2011). Application of Geoinformatics in Land Resource Management at Micro- Watershed level for sustainable development of Sanis, Wokha District, Nagaland. Geospatial World Forum. 18-21 January:1-10.
  37. Hopkins, L. D. (1977). Methods of generating land suitability maps: A comparative evaluation. Journal of American Institute of Planners 43(4):386–400.
  38. Hora, H. (2010). Strengthening the Back Bone of Indian Economy through Application of GIS in Agriculture. Journal of Engineering Research and Studies 1(1):5-14.
  39. Iyer, H. S., Singh, A. N. and Kumar, R. (1975). Problem area inventory of parts of Hoshiarpur district through photo-    interpretation. Photonirvachak 3(2): 79.
  40. Jacobsen, K. (2006). High resolution Imaging Satellite Systems. University of Hannover, Germany.
  41. Kalra, N. K., Singh, L., Kachhwah, R. and Joshi, D. C. (2010). Remote sensing and GIS in identification of soil constraints for sustainable development in Bhilwara district, Rajasthan. Journal of the Indian Society of Remote Sensing 38(2): 279-290.
  42. Karale, R. L., Saini, K. M. and Narula, K. K. (1988). Mapping and monitoring ravines using Remotely Sensed data. Journal of Soil and Water Conservation 32(1):75
  43. Khan, M. A., Gupta, V. P. and Moharana, P. C. (2001). Watershed prioritization using remote sensing and geographical information system: A case study from Guhiya, India. Journal of Arid Environment 49:465–475.
  44. Kudrat, M., Tiwari, A. K., Saha, S. K. and Bhan, S. K. (1992). Soil resource mapping using IRS 1A LISS-II digital data -a case study of Kandi area adjacent to Chandigarh, India. International Journal of Remote Sensing 13(17): 3287–3302.
  45. Kumar, S., Kumar, A., Saha, S. K. and Kumar, A. (2008). Stero Cartosat-1 satellite remote sensing data in assessing topographic potential of soil erosion. Journal of the Indian Society of Remote Sensing 36:159-165.
  46. Kumaraswami, G., Reddy, K. M. and Baba, G. M. (2011). Large scale wasteland mapping using IRS P-6 LISS IV data for integrated wasteland development programme-A case study of Devarkonda block, Nalgonda district, A.P. International Journal of Earth Science and Engineering 4(8):89-93.
  47. Laake, P. E. (2000). Spatial tools for Laymen, Natural Resource Management by experts. International Archives of Photogrammetry and Remote Sensing 33:1593-1600.
  48. Lagacherie, P. and McBratney, A. B. (2007). Spatial soil information systems and spatial soil inference systems: Perspectives for digital soil mapping. Developments in Soil Science 31:3-22.
  49. Lal, R., Mokma, D. and Lowery, B. (1998). Relation between soil quality and erosion In: R Lal (ed.) “Soil Quality and Soil Erosion” CRC Press, Boca Raton, FL: 237-257.
  50. Lee, K., Lee, G. B. and Tyler, E. J. (1988). Thematic Mapper and digital elevation modeling of soil characteristics in hilly terrain. Soil Science Society of America Journal 52(4):1104-1107.
  51. Liaghat, S. and Balasundram, S. K. (2010). A Review: The Role of Remote Sensing in Precision Agriculture American Journal of Agricultural and Biological Sciences 5(1): 50-55.
  52. Liengsakul, M., Mekpaiboonwatana, S., Pramojanee, P., Bronsveld, K. and Huizing, H. (1993). Use of GIS and remote sensing for soil mapping and for locating new sites for permanent cropland- A case study in the highlands of northern Thailand. Geoderma 60(1-4):293-307.
  53. Longley, P. A., Goodchild, M. F., Maguire, D. J. and Rhind, D. W. (Eds) (1999). Geographical Information Systems, 2nd edition, John Wiley and Sons, Inc. NewYork
  54. Mandal, A. K. and Sharma, R. C. (2005). Computerization database on salt affected soils of Haryana state. Journal of the Indian Society of Remote Sensing 33(3): 447-455.
  55. McBratney, A. B., Mendonça, S. M. L. and Minasny, B. (2003). On digital soil mapping. Geoderma 117(1-2):3-52.
  56. McBratney, A. B., Odeh, I. O. A., Bishop, T. F. A., Dunbar, M. S. and Shatar, T. M. (2000). An overview of pedometric techniques for use in soil survey. Geoderma.97: 293–327.
  57. McKenzie, N. J., Gessler, P. E., Ryan, P. J. and O’Connell, D. A. (2000). The role of terrain analysis in soil mapping / Terrain analysis: principles and applications. New York, USA : 245-266.
  58. Mohamed, G. S. and Murthy, R. L. N. (2008). Cartosat stereo data for watershed and water resources GIS, 14th ARSPC Darwin, Australia.
  59. Mukerjee, R. (1982). Univerasal optimality of fractional factorial plans derivable through orthogonal arrays. Calcutta Statististical Association Bulletin 31:63-68.
  60. Mustafa, A. A., Singh, M., Sahoo, R. N., Ahmed, N., Khanna, M., Sarangi, A. and Mishra, A. K. (2011). Land suitability analysis for different crops: A multi-criteria decision making approach using RS and GIS. Researcher 3(12):1-24.
  61. Natarajan, A., Reddy, R. S. and Sharma, J. P. (2009). Soil survey and mapping. Soil Survey Manual. Chapter-6: 72-82.
  62. Nizeyimana, E., Petersen, G. W., Imhoff, M. L. and Lawrence, W. T. (1998). A GIS-based assessment of soil productivity loss due to urbanization in Pennsylvania. p.460-465. Proceedings of the International Symposium on Resource and Environmental Monitoring. Local, regional and global scales. International Society for Photogrammetry and Remote Sensing. ECO’98. Sept. 1-4, 1998. Budapest, Hungary.
  63. Olson, K. R., Mokma, D. L., Lal, R., Schumacher, T. E. and Lindstrom, M. J. (1998). Erosion Impacts on Crop Yield for Selected Soils of the North Central United States. In: R. Lal (ed) “Soil Quality and Soil Erosion,” CRC Press, Boca Raton, FL: 259-283.
  64. Panhalkar, S. (2011). Land capability classification for integrated watershed development by applying RS and GIS techniques. Journal of Agricultural and Biological Sciences 6(4):46-55.
  65. Pareta, K. and Pareta, U. (2012). Integrated watershed modeling and characterization using GIS and RS techniques. Indian Journal of Engineering 1(1):81-91
  66. Patil, S. S., Patil, V. C. and Khalid, A. A. (2010). Wheat Acreage, Productivity and Production Estimation through Remote Sensing and GIS Techniques. Australian Journal of Basic and Applied Sciences 4(8): 3132-3138
  67. Patra, P. (2011). Remote Sensing and Geographical Information System (GIS) The Association for Geographical Studies:1-28
  68. Pickup, G. and Chewings, V. H. (1986). A grazing gradient approach to land degradation assessment in arid areas from remotely-sensed data. International Journal of Remote Sensing 15: 597-617.
  69. Praveen, K. R., Singh, S. and Mishra, A. (2010) Village Mapping Using High Resolution Remote Sensing Data And Field Survey11th ESRI India User Conference pp:1- 6
  70. Raj, S. and Koshal, A. K. (2012). GIS and Remote Sensing for Site Specific Farming Area Mapping. International Journal of Engineering & Innovative Technology 1(4):198-200
  71. Ramakrishnan, S. S. and Guruswamy, V. (2009). GIS Applications in Soil Data Analysis, Center for GIS Applications, Anna University, India.
  72. Reddy, G. P. O., Maji, A., Srinivas, K., Thayalan, S. and Velayutham, M. (2001). Landscape Ecological Planning in a Basaltic Terrain, Central India, Using Remote sensing and GIS Techniques. Journal of the Indian Society of Remote sensing, 29(1&2):3 -16.
  73. Reddy, G. P. O. and Maji, A. K. (2003). Delineation and characterization of geomorphological features in a part of Lower Maharahstra Metamorphic Plateau, using IRS-ID LISS-III data. Journal of the Indian Society of Remote Sensing 31 (4), 241–250.
  74. Reddy, G. P. O., Maji, A. K. and Gajbhiye Kothiram, S. (2004). Drainage Morphometry and Its Influence on Landform Characteristics in Basaltic Terrain – A Remote Sensing and GIS Approach. International Journal of Applied Earth Observation and Geoinformatics 6:1-16.
  75. Reddy, G. P. O., Maji, A. K., Nagaraju, M. S. S., Thayalan, S. and Ramamurthy, V. (2008). Ecological evaluation of land resources and land use systems for sustainable development at watershed level in different agro-ecological zones of Vidarbha region, Maharashtra using Remote sensing and GIS techniques, Project Report, NBSS & LUP, Nagpur. pp. 270.
  76. Reddy, G. P. O., Nagaraju, M. S. S., Ramteke, I. K. and Sarkar, D. (2012). Terrain Characterization for Soil Resource Mapping Using IRS-P6 Data and GIS -A Case Study From Basaltic Terrain of Central India. Journal of the Indian Society of Remote Sensing 41(2):331-343.
  77. Reddy, G. P. O., Shekinah, D. E., Maurya, U. K., Thayalan, S., Prasad, J., Ray, S. K. and Bhasker, B. P. (1999). Landscape-    soil relationship in part of Bazargaon plateau, Maharashtra. Geographical Review of India 61(3), 280–291.
  78. Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K. and Yoder, D. C. (1997). Predicting soil erosion by water: A guide to conservation planning with the revised universal soil loss equation (RUSLE); USDA Handbook, 703, U.S. Department of Agriculture, Washington, DC.
  79. Rosser, J., Swartz, G. L., Dawson, N. M. and Briggs, H. S. (1974). A Land Capability Classification for Agricultural Purposes. Div. Land Utilization. Tech. Rep. p. 14.
  80. Sabins, F. F. (1997). Remote Sensing-Principles and Interpretation 3rd ed., W.H. Freeman, New York.
  81. Sankar, P., Hermon, R. R., Alaguraja, P. and Manivel, M. (2012). Comprehensive water resources development planning Panoli village blocks in Ahmednagar district, Maharashtra using Remote Sensing and GIS techniques. International Journal of Advances in Remote Sensing and GIS 1(1): 40-58
  82. Saxena, P. R. and Prasad, N. S. R. (2008). Integrated land and water resources conservation and management development plan using RS and GIS of Chevella sub-watershed, R.R.district,Andhra Pradesh, India. The international archives of the photogrammetry, remote sensing and spatial information sciences.Vol.37.part B8.Beijing.
  83. Scull, P., Franklin, J., Chadwick, O. A. and McArthur, D. (2003). Predictive Soil Mapping: A Review. Progress in Physical Geography 27(2):171–197.
  84. Shanwad, U. K., Patil, V. C., Gowda, H. H. and Shashidhar, K. C. (2012). Remote Sensing and GIS for Integrated Resource Management Policy-A Case Study in Medak Nala Watershed, Karnataka, India. American-Eurasian Journal of Agriculture & Environmental Sciences 12 (6): 790-806.
  85. Sharma, S. K, Rajput, G. S., Tiganth, S. and Pandey, R. P. (2010). Morphometric Analysis and Prioritization of A Watershed Using GIS, Journal of Indian Water Resources Society 30 (2):33-39.
  86. Shi, Z. H., Cai, C. F., Ding, S. W., Wang, T. W. and Chow, T. L. (2004). Soil conservation planning at the small watershed level using RUSLE with GIS: A case study in the Three Gorge Area of China. Catena 55: 33-48.
  87. Shrestha, H. L. (2006). Using GPS and GIS in participatory mapping of community forest in Nepal. Electronic Journal of Information Systems in Developing Countries 25(5):1-11.
  88. Singh, A. N. and Dwivedi, R. S. (1986). The utility of LANDSAT imagery as an integral part of the data-base for small-scale soil mapping. International Journal of Remote Sensing7 (9):1099-1108.
  89. Singh, S. K. and Singh, U. L. (2009). Water resource evaluation and management for Morar river basin, Gwalior district, M.P., using GIS. Earth Science India 2(3):174-186.
  90. Singh, T. P. (2009). Satellite-Image-Based Water and Land Development Plan e-Governance: Case Studies, Chapter-10, 180-190.
  91. Singh, A. N. and Dwivedi, R. S. (1989). Delineation of salt affected soils through digital analysis of Landsat- MSS data. International Journal of Remote Sensing 10: 83-92.
  92. Soil Survey Division Staff. (2000). Soil survey manual, USDA Handbook No.18, US government printing office, Washington, D.C.
  93. Speight, J. G. (1990). Australian Soil and Land Survey: Field Handbook (2nd ed.). Inkata Press. Melbourne:
  94. Srinivasan, P. (1988). Use of RS techniques for detail hydro morphological investigation in part of Narmadasagar command area. M.P. Journal of the Indian Society of Remote Sensing 16(1):55-62.
  95. Srivastava, R. and Saxena, R. K. (2004). Techniques of large scale soil mapping in basaltic terrain using satellite remote sensing data. International Journal of Remote Sensing 25 (4): 679-688.
  96. Star, J. L., Estes, J. E. and McGwire, K. C. (1997). Integration of Geographic Information Systems and Remote Sensing. University Press. New York: Cambridge
  97. Stombaugh, T., Shearer, S., Fulton, J. (2002). GPS simplified University of Kentucky Ext. Rept. PA-5.
  98. Strahler, A. N. (1964). Quantitative Geomorphology of basins and channel networks. In Handbook of Applied Hydrology McGraw Hill Book Company, New York.
  99. Tiwari, A. K. (2004). Effective bio-engineering measures for torrent and erosion control in Shivaliks. In: Sharda, VN (Ed.), Compendium National Symposium on enhancing productivity and sustainability in hill and mountain agro-ecosystem, CSWCRTI, Dehradun.
  100. Tomar, A. S. and Singh, U. C. (2012). Geomorphological Mapping Using Remote Sensing and GIS A Tool for Land Use Planning Around Shivpuri City, M.P. Indian Journal of Computer Engineering 5(1): 28-30.
  101. United States Department of Agriculture. (1973). Soil Conservation Service, Land Capability Classification, Agriculture Handbook No. 210.
  102. Velmurugan, A. and Carlos, G. G. (2009). Soil resource assessment and mapping using remote sensing and GIS. Journal of the Indian Society of Remote Sensing 37(3): 511-525.
  103. Vittala, S. S., Govindaiah, S. and Honne Gowda, H. (2010). Prioritization of sub-watersheds for sustainable development and management of natural resources: An integrated approach using remote sensing, GIS and socio-economic data. Current Science 95(3): 345-354.
  104. Wadodkar, M. R. and Ravisankar, T. (2011). Soil Resource Database at Village Level for Developmental Planning Journal of the Indian Society of Remote Sensing 39(4):529-536.
  105. Walia, C. S., Singh, S. P., Dhankar, R. P., Ram, J., Kamble, K. H. and Katiyar, D. K. (2010). Watershed characterization and soil resource mapping for land use planning of Moolbari watershed, Shimla, H.P. in lesser Himalayas. Current Science 98(2): 176-182.
  106. Wang, G., Chen, J., LI, Q. and Ding, H. (2006). Quantitative assessment of land degradation factors based on remotely sensed data and cellular automata: A case study of Beijing and its neighbouring areas. Environmental Science 3(4):239–253.
  107. Wilson, J. P. and Gallant, J. C. (2000). Terrain Analysis: Principles and Applications. John Wiley and Sons, New York.
  108. Wright, R. L. (1993). Some application of geomorphology in soil survey for land use planning. In D. K. Dent & S. B. Deshpande (Eds.), Land Evaluation for Land Use Planning. NBSS Publ. No.42. Nagpur, India: 28-41.
  109. Yeung, A. K. W. and Lo, C. P. (2002). Concepts and Techniques of Geographic Information Systems. International Journal of Geographical Information Science 17(8):819-820.
  110. Zhang, L., Yue, L. and Xia, B. (2003). The study of land desertification in transitional zones between the MU US desert and the loess plateau using RS and GIS- a case study of the Yulin region. Environmental Geology 44:530-534.
  111. Zidat, F. M., Taylor, J. C., Brewer, T. R. (2003). Merging Landsat TM imagery with topographic data to aid soil mapping in the Badia region of Jordan. Journal of Arid Environments 54:527-541.
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