Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach

Fine resolution IRS P6 LISS-IV satellite datasets are useful for LSA.MCE and AHP techniques are useful to detect suitable lands for agriculture.Ranks of criterion are based on experts' opinion and correlation analysis.Assigned scores of sub-criterion are based on literature survey and field work.Reviewed lands are highly, moderately, marginally and not suitable for agriculture. Physiographic components play a fundamental role in agriculture in hilly zone. Slope, soil depth, erosion, moisture, water holding capacities, texture and availability of nutrients have affect on agricultural production. Land suitability analysis can help to formulate the strategies for improvement in agricultural productivity. GIS based multi-criterion decision making approach using IRS P6 LISS-IV dataset was used to analyze land suitability for agriculture in hilly zone. The experts' opinions and correlation analyses were used to decide the ranks of influencing criterion whereas pairwise comparison matrix in 'Comparison for Super Decision Software' used to determine the weights. The scores for sub-parameters showing internal variations within the criteria assigned based on field work and reported norms in published literature. About 17% (7326ha) of reviewed area are classified in the class 'highly suitable', 29% (12,372ha) in 'moderately suitable', 16% (6514ha) in 'marginally suitable' and 38% (15,798ha) in 'not suitable' for agriculture. The land suitability classes i.e. 'highly suitable' and 'not suitable' in suitability map are precisely estimated than the classes 'moderately suitable' and 'marginally suitable' both in producer's and user's point of view. The methodology, techniques and findings of the study can be useful to assess the land suitability for agriculture in hilly zones.

[1]  Fangju Wang,et al.  The Use of Artificial Neural Networks in a Geographical Information System for Agricultural Land-Suitability Assessment , 1994 .

[2]  M. Naderi Khorasgani,et al.  Land Suitability Evaluation for Alfalfa and Barley Based on FAO and Fuzzy Multi-Criteria Approaches in Iranian Arid Region , 2012 .

[3]  Manoj Khanna,et al.  Land Suitability Analysis for Different Crops: A Multi Criteria Decision Making Approach using Remote Sensing and GIS , 2011 .

[4]  M. A. Mojid,et al.  Growth, yield and water use efficiency of wheat in silt loam-amended loamy sand , 2010 .

[5]  Fabio Terribile,et al.  Introducing a New Parametric Concept for Land Suitability Assessment , 2013 .

[6]  H. Akinci,et al.  Agricultural land use suitability analysis using GIS and AHP technique , 2013 .

[7]  Vijay S. Bhagat,et al.  Use of Remote Sensing Techniques for Robust Digital Change Detection of Land: A Review , 2012 .

[8]  Em Attual,et al.  Land Suitability Assessment for Pineapple Production in the Akwapim South District, Ghana: .A GIS-MultiCriteria Approach , 2010 .

[9]  Thomas Blaschke,et al.  Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS , 2013 .

[10]  Vijay Bhagat Agriculture Water Balance of Micro-Watershed Using GIS Techniques , 2014 .

[11]  F. Stuart Chapin,et al.  Individualistic Growth Response of Tundra Plant Species to Environmental Manipulations in the Field , 1985 .

[12]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[13]  Y. Ouma,et al.  Land suitability assessment for perennial crops using remote sensing and Geographic Information Systems: A case study in northwestern Egypt , 2006 .

[14]  Mehdi Norouzi,et al.  Qualitative and Economic Land Suitability Evaluation for Tea (Camellia sinensis L.) in Sloping Area of Guilan, Iran , 2011 .

[15]  Ehsan Golmehr A Remote Sensing Evaluation for Agronomic Land Use Mapping in the Tehran Province, Iran , 2008 .

[16]  Piotr Jankowski,et al.  Integrating Geographical Information Systems and Multiple Criteria Decision-Making Methods , 1995, Int. J. Geogr. Inf. Sci..

[17]  Vijay S. Bhagat Use of Remote Sensing Techniques for Robust Detection and Estimations of Soil Organic Carbon: A Review , 2013 .

[18]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[19]  Frederick R. Steiner,et al.  An approach for greenway suitability analysis , 1998 .

[20]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[21]  B. C. Barah,et al.  Hill Agriculture: Problems and Prospects for Mountain Agriculture , 2010 .

[22]  Abdelkader Mendas,et al.  Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria , 2012 .

[23]  Fangju Wang,et al.  Fuzzy information representation and processing in conventional GIS software: database design and application , 1990, Int. J. Geogr. Inf. Sci..

[24]  M. Nyeko GIS and Multi-Criteria Decision Analysis for Land Use Resource Planning , 2012 .

[25]  Hao Zhang,et al.  Bidirectional reflectance study on dry, wet, and submerged particulate layers: effects of pore liquid refractive index and translucent particle concentrations. , 2006, Applied optics.

[26]  Jadab Chandra Halder Land Suitability Assessment for Crop Cultivation by Using Remote Sensing and GIS , 2013 .

[27]  Sailesh Samanta,et al.  Land Suitability Analysis for Rice Cultivation Based on Multi-Criteria Decision Approach through GIS , 2011 .

[28]  V. Jayaraman,et al.  Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach , 2009 .

[29]  Siva Kumar Balasundram,et al.  Agriculture Land Suitability Evaluator (ALSE) , 2013 .

[30]  Qian Song,et al.  Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping , 2013, Remote. Sens..

[31]  T N Prakash,et al.  Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach , 2003 .

[32]  Narges Zaredar,et al.  Land suitability analysis using multi attribute decision making approach. , 2010 .

[33]  A. K. Lohani,et al.  Delineation of Flood-Prone Areas Using Remote Sensing Techniques , 2005 .

[34]  Vijay Bhagat,et al.  Use of IRS P6 LISS-IV data for Land Suitability analysis for Cashew Plantation in Hilly Zone , 2014 .

[35]  Jeffrey E. Herrick,et al.  Experiences in monitoring and assessment of sustainable land management , 2011 .

[36]  Emilio Jiménez,et al.  Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an Analytic Hierarchy Process , 2014 .

[37]  Peter F. Fisher,et al.  Spatial analysis of remote sensing image classification accuracy , 2012 .

[38]  T. Cengiz,et al.  Application of analytical hierarchy process and geographic information systems in land-use suitability evaluation: a case study of Dümrek village (Çanakkale, Turkey) , 2009 .

[39]  Patrick T. Hester,et al.  An Analysis of Multi-Criteria Decision Making Methods , 2013 .

[40]  Imtiaz Ahmed Chandio,et al.  GIS- based Land Suitability Analysis Using AHP for Public Parks Planning in Larkana City , 2011 .

[41]  S. Kalogirou Expert systems and GIS: an application of land suitability evaluation , 2002 .

[42]  A. Olaleye,et al.  Soil in Suitability Evaluation for Irrigated Lowland Rice Culture in Southwestern Nigeria: Management Implications for Sustainability , 2008 .

[43]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[44]  M. Parimala,et al.  DECISION MAKING IN AGRICULTURE BASED ON LAND SUITABILITY - SPATIAL DATA ANALYSIS APPROACH , 2012 .

[45]  Ahmed Harb Rabia,et al.  Mapping Soil Erosion Risk Using Rusle, Gis and Remote Sensing Techniques , 2012 .

[46]  Liping Di,et al.  Laser Intensity Used in Classification of Lidar Point Cloud Data , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[47]  Hanqiu Xu Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[48]  Mukhtar Elaalem,et al.  Land Suitability Evaluation for Sorghum Based on Boolean and Fuzzy-Multi-Criteria Decision AnalysisMethods , 2012 .

[49]  Florent Joerin,et al.  Using GIS and outranking multicriteria analysis for land-use suitability assessment , 2001, Int. J. Geogr. Inf. Sci..

[50]  Luis A. Bojórquez-Tapia,et al.  GIS-based approach for participatory decision making and land suitability assessment , 2001, Int. J. Geogr. Inf. Sci..

[51]  William C. Wedley,et al.  Non‐discriminating criteria in the AHP: removal and rank reversal , 2004 .

[52]  R. Fensholt,et al.  Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment , 2003 .

[53]  Tom Kauko,et al.  What makes a location attractive for the housing consumer? Preliminary findings from metropolitan Helsinki and Randstad Holland using the analytical hierarchy process , 2006 .

[54]  Yun Chen,et al.  Cellular automata-based spatial multi-criteria land suitability simulation for irrigated agriculture , 2011, Int. J. Geogr. Inf. Sci..

[55]  G. R. Najar,et al.  Effect of altitude and depth on available nutrients in pear orchard soils of Kashmir. , 2012 .

[56]  Vijay Shivaji Bhagat,et al.  Use of LANDSAT ETM + Data for Detection of Prosopis juliflora in Irrigated Zones , 2013 .

[57]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[58]  Jacek Malczewski,et al.  GIS-based land-use suitability analysis: a critical overview , 2004 .

[59]  Imtiaz Ahmed Chandio,et al.  GIS-based multi-criteria decision analysis of land suitability for hillside development. , 2011 .

[60]  David Ndegwa Kuria,et al.  Using geographic information systems (GIS) to determine land suitability for rice crop growing in the Tana delta , 2011 .

[61]  Shuai Wang,et al.  Soil moisture and evapotranspiration of different land cover types in the Loess Plateau, China , 2012 .

[62]  MICHAEL G. COLLINS,et al.  Land-Use Suitability Analysis in the United States: Historical Development and Promising Technological Achievements , 2001, Environmental management.

[63]  F. Steiner,et al.  Land suitability analysis for the upper Gila River watershed. , 2000 .

[64]  Ahmed Harb Rabia,et al.  Land Suitability Analysis for Policy Making Assistance: A GIS Based Land Suitability Comparison between Surface and Drip Irrigation Systems , 2013 .

[65]  G. T. McDonald,et al.  The land suitability approach to strategic land-use planning in urban fringe areas , 1984 .

[66]  V. Bhagat Use of Landsat ETM+ data for detection of potential areas for afforestation , 2009 .

[67]  Robert B. Jackson,et al.  © 2001 Kluwer Academic Publishers. Printed in the Netherlands. The distribution of soil nutrients with depth: Global patterns and the imprint of plants , 2022 .

[68]  E. M. Attua GIS-multi criteria assessment of land suitability and optimal sites allocation for large scale pineapple production in the Akwapim South District, Ghana , 2010 .

[69]  L. M. Thompson,et al.  Soils and Soil Fertility , 1973 .

[70]  Vijay Bhagat,et al.  Use of Landsat ETM+ data for delineation of water bodies in hilly zones , 2011 .

[71]  J. Dumanski,et al.  Criteria and indicators for land quality and sustainable land management , 1997 .

[72]  J. Pretty,et al.  Soil Type Is the Primary Determinant of the Composition of the Total and Active Bacterial Communities in Arable Soils , 2003, Applied and Environmental Microbiology.

[73]  Bojan Srdjevic,et al.  Finding the best location for pumping stations in the Galovica drainage area of Serbia: the AHP approach for sustainable development , 2007 .