Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India
暂无分享,去创建一个
[1] Tarun Kumar,et al. Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones , 2014, Water Resources Management.
[2] S. K. Nag,et al. Delineation of groundwater potential zone in Chhatna Block, Bankura District, West Bengal, India using remote sensing and GIS techniques , 2013, Environmental Earth Sciences.
[3] H. Nassery,et al. Groundwater exploration using remote sensing and geographic information systems in a semi-arid area (Southwest of Urmieh, Northwest of Iran) , 2013, Arabian Journal of Geosciences.
[4] A. Ozdemir. GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison , 2011 .
[5] Javier Montero,et al. Accuracy statistics for judging soft classification , 2008 .
[6] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[7] K. S. R. Murthy,et al. Multi‐criteria decision evaluation in groundwater zones identification in Moyale‐Teltele subbasin, South Ethiopia , 2009 .
[8] Seyed Amir Naghibi,et al. GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran , 2015, Environmental Monitoring and Assessment.
[9] Arun K. Saraf,et al. Delineation of groundwater recharge sites using integrated remote sensing and GIS in Jammu district, India , 2007 .
[10] U. C. Singh,et al. Water resource evaluation and management for Morar River Basin, Gwalior district, Madhya Pradesh, using GIS. , 2009 .
[11] R. Vallejos,et al. A multivariate geostatistical approach for landscape classification from remotely sensed image data , 2015, Stochastic Environmental Research and Risk Assessment.
[12] Wayne L. Myers,et al. A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC , 1990 .
[13] H. Schmitt. Outcrops of ore shoots [southwestern United States and Mexico] , 1939 .
[14] B. Pradhan,et al. Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran , 2015, Arabian Journal of Geosciences.
[15] Nezar Hammouri,et al. An Integrated Approach to Groundwater Exploration Using Remote Sensing and Geographic Information System , 2012 .
[16] V. Dubey,et al. Identification of groundwater prospective zones by using remote sensing and geoelectrical methods in Jharia and Raniganj coalfields, Dhanbad district, Jharkhand state , 2005 .
[17] H. Pourghasemi,et al. Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS , 2015, Arabian Journal of Geosciences.
[18] Kolawole M.S,et al. Lineament Mapping and Groundwater Occurrence within the Vicinity of Osara Dam, Itakpe-Okene area, North Central Nigeria, Using Landsat Data , 2016 .
[19] V. Jayaraman,et al. Groundwater resources development in hard rock terrain - an approach using remote sensing and GIS techniques , 2000 .
[20] S. Anbazhagan,et al. Geoinformatics in groundwater potential mapping and sustainable development: a case study from southern India , 2016 .
[21] Electrical resistivity survey and shallow subsurface geological study in hard rock terrain, Southern India , 2015, Journal of the Geological Society of India.
[22] Hamid Reza Pourghasemi,et al. Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran , 2015, Earth Science Informatics.
[23] Hamid Reza Pourghasemi,et al. Assessment of a data-driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran , 2015 .
[24] V. M. Chowdary,et al. Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS , 2009 .
[25] Biswajeet Pradhan,et al. Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS , 2014, Arabian Journal of Geosciences.
[26] F. Quiel,et al. Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea , 2006 .
[27] G. Jenks. The Data Model Concept in Statistical Mapping , 1967 .
[28] N. Lambrakis,et al. Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS , 2006 .
[29] B. Pradhan. Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques , 2009 .
[30] Zohre Sadat Pourtaghi,et al. GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran , 2016, Environmental Earth Sciences.
[31] Zohre Sadat Pourtaghi,et al. GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran , 2014, Hydrogeology Journal.
[32] Arun K. Saraf,et al. Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites , 1998 .
[33] Pradeep Garg,et al. Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique , 2015, Water Resources Management.
[34] Saro Lee,et al. Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model , 2012, Hydrogeology Journal.
[35] Seyed Amir Naghibi,et al. A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping , 2015, Water Resources Management.
[36] B. Pradhan,et al. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models , 2007 .
[37] A. Shakoor,et al. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses , 2010 .
[38] B. Pradhan,et al. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models , 2010 .
[39] Chadi Abdallah,et al. Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon , 2006 .
[40] O. S. Aboyeji,et al. Mapping of lineaments for groundwater targeting in the basement complex region of Ondo State, Nigeria, using remote sensing and geographic information system (GIS) techniques , 2011 .
[41] P. Alaguraja,et al. Role of Remote Sensing and GIS in Artificial Recharge of the Ground Water Aquifer in the Shanmuganadi Sub Watershed in the Cauvery River Basin, Trichirapalli District, Tamil Nadu , 2013 .
[42] Biswas Arkoprovo,et al. Delineation of Groundwater Potential Zones using Satellite Remote Sensing and Geographic Information System Techniques: A Case study from Ganjam district, Orissa, India , 2012 .
[43] Hamid Reza Pourghasemi,et al. Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS , 2015, Earth Science Informatics.
[44] Erhan Şener,et al. An integration of GIS and remote sensing in groundwater investigations: A case study in Burdur, Turkey , 2005 .
[45] S. Anbazhagan,et al. Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process , 2016, Modeling Earth Systems and Environment.
[46] H. Pourghasemi,et al. Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran , 2016 .
[47] Haowen Yan,et al. Extract relevant features from DEM for groundwater potential mapping , 2015 .
[48] R. Berndtsson,et al. Artificial recharge by floodwater spreading estimated by water balances and groundwater modelling in arid Iran , 2015 .
[49] M. Nagarajan,et al. Assessment of groundwater potential zones using GIS technique , 2009 .
[50] S. M. Ramasamy,et al. Remote sensing and GIS for artificial recharge study, runoff estimation and planning in Ayyar basin, Tamil Nadu, India , 2005 .
[51] D. Kuria,et al. Mapping groundwater potential in Kitui District, Kenya using geospatial technologies , 2012 .
[52] W. D. Thornbury. Principles of geomorphology , 1955 .
[53] Deepesh Machiwal,et al. Comparing GIS-based multi-criteria decision-making and Boolean logic modelling approaches for delineating groundwater recharge zones , 2015, Arabian Journal of Geosciences.
[54] Chen Xiuwan,et al. Using remote sensing and GIS to analyse land cover change and its impacts on regional sustainable development , 2002 .
[55] Javier Montero,et al. Determining the accuracy in image supervised classification problems , 2011, EUSFLAT Conf..
[56] Saro Lee,et al. GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea , 2011 .
[57] A. Bhattacharya. ARTIFICIAL GROUND WATER RECHARGE WITH A SPECIAL REFERENCE TO INDIA , 2010 .
[58] REMOTE SENSING AND GIS-BASED ANALYSIS OF CAVE DEVELOPMENT IN THE SUOIMUOI CATCHMENT (SON LA - NW VIETNAM) , 2002 .