Skip to main content

Advertisement

Log in

Integrative approach of RS and GIS in characterization of land suitability for agriculture: a case study of Darna catchment

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Land elements like slope, soil depth, land use/land cover, water holding capacity, soil texture, soil erosion, elevation, potential of hydrogen, etc. determine the suitability for agriculture. Land suitability analysis is a one of the methods of assessment of detecting inherent capacities, potential and suitability levels of the lands for agriculture, and was utilized with the same land elements in this study. A multi-criterion decision making approach using IRS P6 LISS-IV satellite dataset within a GIS environment was used to identify suitable areas for agriculture in the Darna catchment. Experts’ opinions, literature review, and correlation technique were used to decide influencing criteria, assign scores to sub-criteria, and judgment formation in pairwise comparison matrix. All thematic layers of criteria were integrated with each other in GIS using the weighted overlay technique and generated agriculture suitability map into four classes according to FAO. About 23% of the area is under agriculture in the study region. This area can extend up to 69% under agriculture converting fallow land, scrub land, and sparse forest according to soil qualities with suitability levels, i.e., highly suitable (19%), moderately suitable (16%), and marginally suitable (34%). About 31% (19,219 ha) of reviewed area are classified in the class permanently “not suitable” for agriculture. Moderately and marginally suitable land requires the irrigation facility for efficient agriculture. This study emphasizes that about 46% area has potential as agriculture land and it will help improve the financial condition of the farmers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Akbulak C (2010) Analitik Hiyerarsi surecive cografi bilgi sistemleriile yukarı kara menderes havzasinin arazi kullanimi uygunluk analizi. Uluslararasi Insan Bilimleri Dergisi 7(2):557–576

    Google Scholar 

  • Akinci H, Ozalp AY, Turgut B (2013) Agriculture land use suitability analysis using GIS and AHP technique. Comput Electron Agric 97:71–82

    Article  Google Scholar 

  • Bandyopadhyay S, Jaiswal RK, Hegde VS, Jayaraman V (2009) Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach. Int J Remote Sens 30(4):879–895

    Article  Google Scholar 

  • Barah BC (2010) Hill agriculture: problems and prospects for mountain agriculture. Indian J Agric Econ 65(3):584–601

    Google Scholar 

  • Bhagat VS (2012) Use of remote sensing techniques for robust digital change detection of land: a review. Recent Patents on Space Technology 2:123–144

    Article  Google Scholar 

  • Bhagat VS (2014) Agriculture water balance of micro-watershed using GIS techniques. J Earth Sci Res 2(1):1–12

    Article  Google Scholar 

  • Bojorquez-Tapia LA, Diaz-Mondragon S, Ezcurra E (2001) GIS-based approach for participatory decision making and land suitability assessment. Int J Geogr Inf Sci 15(2):129–151

    Article  Google Scholar 

  • Ceballos-Silva A, López-Blanco J (2003a) Evaluating biophysical variables to identify suitable areas for oat in Central Mexico: a multi-criteria and GIS approach. Agric Ecosyst Environ 95:371–377

    Article  Google Scholar 

  • Ceballos-Silva A, López-Blanco J (2003b) Delineation of suitable areas for crops using a multi-criteria evaluation approach and land use/cover mapping: a case study in Central Mexico. Agric Syst 77:117–136

    Article  Google Scholar 

  • Cengiz T, Akbulak C (2009) Application of analytical hierarchy process and geographic information systems in land-use suitability evaluation: a case study of Dumrek village. Int J Sust Dev World 16(4):286–294

    Article  Google Scholar 

  • Census of India (2011) District census handbook, Nashik. Series - 28, Part XII-B

  • D’haeze D, Deckers J, Raes D, Phong TA, Loi HV (2005) Environmental and socio-economic impacts of institutional reforms on the agricultural sector of Vietnam land suitability assessment for Robusta coffee in the Dak Gan region. Agric Ecosyst Environ 10:59–76

    Article  Google Scholar 

  • Datye VS, Gupte SC (1984) Association between agricultural land use and physico-socio-economic phenomena: a multivariate approach. Transaction Institute of Indian Geographer 6(2):61–72

    Google Scholar 

  • Demir M, Yıldız N D˘l, Bulut Y, Yılmaz S, Özer S (2011) Alan Kullanım Planlamasında Potansiyel Tarım Alanlarının Ölçütlerinin Cog˘rafi Bilgi Sistemleri (CBS) Yöntemi ile Belirlenmesi. Ig˘dır Üniversitesi Fen Bilimleri Enstitüsü Dergisi 1(3):77–86

    Google Scholar 

  • Deshmukh KK, Aher SP (2016) Assessment of the impact of municipal solid waste on groundwater quality near the Sangamner City using GIS approach. Water Resour Manag 30:2425–2443. https://doi.org/10.1007/s11269-016-1299-5

    Article  Google Scholar 

  • Duc T (2006) Using GIS and AHP technique for land-use suitability analysis, International symposium on geo-informatics for spatial infrastructure development in earth and allied sciences, organized by Japan-Vietnam geo-informatics consortium institute for environment and resources, Vietnam. Polytechnic University of Hochiminh City, Vietnam

  • Dumanski J (1997) Criteria and indicators for land quality and sustainable land management. ITC J 3(4):216–222

    Google Scholar 

  • Elsheikh R, Abdul RB, Shariff M, Amiri F, Ahmad NB, Balasundram S, Soom M (2013) Agriculture land suitability evaluator (ALSE): a decision and planning support tool for tropical and sub-tropical crops. Comput Electron Agric 93:98–110

    Article  Google Scholar 

  • FAO (2006) Fertilizer and plant nutrition.. Food and Agriculture Organization of the United Nations, Rome, Italy. bulletin 16

  • FAO, WFP and IFAD (2012) The state of food insecurity in the world 2012. Economic growth is necessary but not sufficient to accelerate reduction of hunger and malnutrition. Rome, Italy

  • Feizizadeh B, Blaschke T (2012) Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS. J Environ Plan Manag 1:1–23

    Google Scholar 

  • Foshtomi MD, Norouzi M, Rezaei M, Akef M, Akbarzadeh A (2011) Qualitative and economic land suitability evaluation for tea in sloping area of Guilan, Iran. J Biol Environ Sci 5(15):135–146

    Google Scholar 

  • Garcia JL, Alvarado A, Blanco J, Jimenez E, Maldonado AA, Cortés G (2014) Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Comput Electron Agric 100:60–69

    Article  Google Scholar 

  • Iqbal M, Khan I (2014) Spatiotemporal land use land cover change analysis and erosion risk mapping of Azad Jammu and Kashmir, Pakistan. Egypt J Remote Sens Space Sci 17:209–229

    Google Scholar 

  • Jafari S, Zaredar N (2010) Land suitability analysis using multi attribute decision making approach. Int J Environ Sci Dev 1(5):441–445

    Article  Google Scholar 

  • Jankowski P (1995) Integrating geographical information system and multiple criteria decision making methods. Int J Geogr Inf Syst 9(3):251–273

    Article  Google Scholar 

  • Jin XM, Zhang YK, Schaepman ME, Clevers JGPW, Su Z (2008) Impact of elevation and aspect on the spatial distribution of vegetation in the Qilian mountain area with remote sensing data. Int Arch Photogramm Remote Sens Spat Inf Sci 37(B7):1385–1390

    Google Scholar 

  • Joerin F, Theriault M, Musy A (2001) Using GIS and outranking multi-criteria analysis for land-use suitability assessment. Int J Geogr Inf Sci 15(2):153–174

    Article  Google Scholar 

  • Kalogirou S (2002) Expert systems and GIS: an application of land suitability evaluation. Comput Environ Urban Syst 26:89–112

    Article  Google Scholar 

  • Kauko T (2006) What makes a location attractive for the housing consumer? Preliminary findings from metropolitan Helsinki and Randstad Holland using the analytical hierarchy process. J Housing Built Environ 21(2):159–176

    Article  Google Scholar 

  • Krishnamurthy J (1997) The evaluation of digitally enhanced Indian remote sensing satellite ( IRS) data for lithological and structural mapping. Int J Remote Sens 18(16):3409–3437

    Article  Google Scholar 

  • Lunetta RS, Elvidge CD (1998) Remote sensing change detection. Ann Arbor press, Michigan

    Google Scholar 

  • Malczewski J (1999) GIS and multi-criteria decision analysis. John Wiley and Sons Inc., New York

    Google Scholar 

  • Malczewski J (2004) GIS-based land suitability: a critical overview. Prog Plan 62:3–65

    Article  Google Scholar 

  • Malczewski J (2006) GIS-based multi-criteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20(7):703–726

    Article  Google Scholar 

  • Mendas A, Delali A (2012) Integration of multi-criteria decision analysis in GIS to develop land suitability for agriculture: application to durum wheat cultivation in the region of Mleta in Algeria. Comput Electron Agric 83:117–126

    Article  Google Scholar 

  • Miller W, Collins W, Steiner FR, Cook E (1998) An approach for greenway suitability analysis landscape and urban planning. Int J Geogr Inf Sci 42(2–4):91–105

    Google Scholar 

  • Mojid MA, Mustafa SMT, Wyseure GCL (2009) Growth, yield and water use efficiency of wheat in silt loam-amended loamy sand. J Bangladesh Agric Univ 7(2):403–410

    Google Scholar 

  • Mokarram M, Aminzadeh F (2010) GIS-based multi-criteria land suitability evaluation using ordered weight averaging with fuzzy quantifier: a case study in Shavur plain Iran. Int Arch Photogramm Remote Sens Spat Inf Sci 38(2):508–512

    Google Scholar 

  • Mustafa AA, Singh M, Sahoo RN, Ahmed N, Khanna M, Sarangi A (2011) Land suitability analysis for different crops: a multi-criteria decision making approach using remote sensing and GIS. Researcher 3(12):61–84

    Google Scholar 

  • Olayeye AO, Akinbols GE, Marake VM, Molete SF, Mapheshoane B (2008) Soil in suitability evaluation for irrigated lowland rice culture in South-Western Nigeria: management implications for sustainability. Commun Soil Sci Plant Anal 39:2920–2938

    Article  Google Scholar 

  • Perveen F, Ryota N, Imtiaz U, Hossain KMD (2007) Crop land suitability analysis using a MCE and GIS approach. 5th international symposium on digital earth. University of California, Berkeley, pp 1–8

    Google Scholar 

  • Prakash TN (2003) Land suitability analysis for agricultural crops: a fuzzy multi-criteria decision making approach. M.sc thesis. The International Institute for geo-information Science and Earth Observation (ITC), Enschede, The Netherlands, pp 6–13

  • Rabia AH (2012) Mapping soil erosion risk using rusle, GIS and remote sensing techniques. In: The 4th international congress of ECSSS, EUROSOIL. Bari, Italy

    Google Scholar 

  • Rabia AH, Terribile F (2013) Introducing a new parametric concept for land suitability assessment. Int J Environ Sci Dev 4(1):15–19

    Article  Google Scholar 

  • Ravi S, Breshears DD, Huxman TE, D'Odorico P (2010) Land degradation in drylands: interactions among hydrologic-aeolian erosion and vegetation dynamics. Geomorphology 116:236–245

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw Hill International, New York

    Google Scholar 

  • Saaty TL (1997) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281

    Article  Google Scholar 

  • Sarkar A, Ghosh A, Banik P (2014) Multi-criteria land evaluation for suitability analysis of wheat: a case study of a watershed in eastern plateau region, India. Geo-spatial Information Science 17(2):119–128

    Article  Google Scholar 

  • Shalaby A, Ouma YO, Tateishi R (2006) Land suitability assessment for perennial crops using remote sensing and geographic information systems: a case study in North-Western Egypt. Arch Agron Soil Sci 52(3):243–261

    Article  Google Scholar 

  • Soltani SR, Mahiny AS, Monavari SM, Alesheikh AA (2012) A soft approach to conflict resolution in multi-criteria evaluation of urban land use suitability. World Appl Sci J 19(7):1066–1077

    Google Scholar 

  • Srdjevic Z, Kolarov V, Srdjevic B (2007) Finding the best location for pumping stations in the Galovica drainage area of Serbia: the AHP approach for sustainable development. Bus Strateg Environ 16(7):502–511

    Article  Google Scholar 

  • Steiner F, McSherry L, Cohen J (2000) Land suitability analysis for the upper Gila river watershed. Landsc Urban Plan 50:199–214

    Article  Google Scholar 

  • Thompsion LM, Troeh FR (1973) Soils and soil fertility. McGraw-Hill Publications in the Agriculture Sciences

  • Wang F (1994) The use of artificial neural networks in a geographical information system for agricultural land-suitability assessment. Environ Plan A 26(2):265–284

    Article  Google Scholar 

  • Wang F, Hall GB, Subaryono (1990) Fuzzy information representation and processing in conventional GIS software: data base design and applications. Int J Geogr Inf Syst 4(3):261–283

    Article  Google Scholar 

  • WMO (2005) Climate and land degradation. World Meteorological Organization (WMO) Publication No. 989. Available online at http://www.wmo.int. Accessed 14 March 2014

  • Yalew SG, Griensven A, Mul ML, Zaag P (2016a) Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques. Model Earth Syst Environ 101:1–14. https://doi.org/10.1007/s40808-016-0167-x

    Article  Google Scholar 

  • Yalew SG, Griensven A, Zaag P (2016b) AgriSuit: a web-based GIS-MCDA framework for agricultural land suitability assessment. Comput Electron Agric 128:1–8

    Article  Google Scholar 

  • Zolekar RB, Bhagat VS (2014) Use of IRS P6 LISS-IV data for land suitability analysis for cashew plantation in hilly zone. Asian Journal of Geoinformatics 14(3):23–35

    Google Scholar 

  • Zolekar RB, Bhagat VS (2015) Multi-criteria land suitability analysis for agriculture in hilly zone: remote sensing and GIS approach. Comput Electron Agric 118-C:300–321

    Article  Google Scholar 

Download references

Acknowledgements

I would like to thank the Principal and Management of K.V.N. Naik Shikshan Prasarak Sanstha, Nashik for encouraging me to complete this research work. The author wishes to thank the anonymous reviewers for their thorough reviews. I would like to thank to Dr. Vijay Bhagat, Dr. Bharat Gadakh, Prof. Arjun Doke, and Dr. Santosh Bhailume for their genuine help during this research work and also thankful to the Department of Geography, K.T.H.M. College Nashik (Maharashtra, India) using Geo-informatics lab for data processing. Further, Prof. Dilip Kute and Dr. Sanjay Sanap are also thanked for language correction.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajendra Bhausaheb Zolekar.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zolekar, R.B. Integrative approach of RS and GIS in characterization of land suitability for agriculture: a case study of Darna catchment. Arab J Geosci 11, 780 (2018). https://doi.org/10.1007/s12517-018-4148-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-018-4148-4

Keywords

Navigation