CloudGanga: Cloud Computing Based SDI Model for Ganga River Basin Management in India

The present research paper proposes and develops a Cloud computing based Spatial Data Infrastructure (SDI) Model named as CloudGanga for sharing, analysis and processing of geospatial data particularly in River Ganga Basin management in India. The main purpose of the CloudGanga is to integrate all the geospatial information such as dam location, well location, irrigation project, hydro power project, canal network and central Water Commission gauge stations locations related to River Ganga. CloudGanga can help the decision maker/ planner or common users to get enough information for their further research and studies. The open source software (Quantum GIS) has been used for the development of geospatial database. QGIS Plugin has been linked with Quantum GIS for invoking cloud computing environment. It has also discussed about the various overlay analysis in CloudGanga environment. In the present research, machine learning approaches are also used in a R tool for well locations which are associated with the basin of River Ganga.

[1]  Marco Minghini,et al.  Public Participation GIS: a FOSS architecture enabling field-data collection , 2015, Int. J. Digit. Earth.

[2]  Lei Hu,et al.  Geoprocessing in Cloud Computing platforms – a comparative analysis , 2013, Int. J. Digit. Earth.

[3]  Abbas Rajabifard,et al.  Expanding the SDI environment: comparing current spatial data infrastructure with emerging indoor location-based services , 2016, Int. J. Digit. Earth.

[4]  Zhenghong Tang,et al.  Evaluating Internet-based public participation GIS (PPGIS) and volunteered geographic information (VGI) in environmental planning and management , 2016 .

[5]  Ian Williamson,et al.  Research Article Spatial Data Infrastructure Requirements for Mobile Location Based Journey Planning , 2003 .

[6]  Laveti Satish.  Water Resources Management Plan for Ganga River using SWAT Modelling and Time series Analysis , 2015 .

[7]  Emmanuel Stefanakis,et al.  Development of a Coastal SDI using GeoFOSS , 2008 .

[8]  Daniel P. Ames,et al.  HydroServer Lite as an open source solution for archiving and sharing environmental data for independent university labs , 2013, Ecol. Informatics.

[9]  Marco Minghini,et al.  Free and open source software for geospatial applications (FOSS4G) to support Future Earth , 2017, Int. J. Digit. Earth.

[10]  Jeffery S. Horsburgh,et al.  HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis , 2012, Environ. Model. Softw..

[11]  Richard M. Teeuw,et al.  Free software: A review, in the context of disaster management , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[12]  Christophe Claramunt,et al.  A modelling framework for the study of Spatial Data Infrastructures applied to coastal management and planning , 2017, Int. J. Geogr. Inf. Sci..

[13]  Ashutosh Prasad,et al.  Open source versus closed source: software quality in monopoly and competitive markets , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[14]  Qunying Huang,et al.  Evaluating open-source cloud computing solutions for geosciences , 2013, Comput. Geosci..

[15]  Haiyan Wang,et al.  Application research of mobile GIS in forestry informatization , 2010, 2010 5th International Conference on Computer Science & Education.

[16]  Mark Gahegan,et al.  Geospatial Cyberinfrastructure: Past, present and future , 2010, Comput. Environ. Urban Syst..

[17]  David M. Aanensen,et al.  EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection , 2009, PloS one.

[18]  Yuan Man,et al.  A Light Mobile GIS Framework Based on Mobile SVG , 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

[19]  Zissis Samaras,et al.  Development of a web GIS application for emissions inventory spatial allocation based on open source software tools , 2013, Comput. Geosci..

[20]  Kevin McDougall,et al.  SDI and crowdsourced spatial information management automation for disaster management , 2015 .

[21]  Stephan Winter,et al.  A web-based application for beekeepers to visualise patterns of growth in floral resources using MODIS data , 2016, Environ. Model. Softw..

[22]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[23]  Weihe Guan,et al.  WorldMap – a geospatial framework for collaborative research , 2012, Ann. GIS.

[24]  David N. Siriba,et al.  Reviewing the status of national spatial data infrastructures in Africa , 2018 .

[25]  Zhong Liu,et al.  A web service and android application for the distribution of rainfall estimates and Earth observation data , 2015, Comput. Geosci..

[26]  André B. Fortunato,et al.  An Innovative Web Platform for Flood Risk Management , 2015 .

[27]  Hae-Kyong Kang,et al.  A framework for dynamic updates of map data in mobile devices , 2005, Int. J. Web Eng. Technol..

[28]  Ray K.W. Chang,et al.  Exploring utility system SDI – Managerial and technical perspectives , 2016 .

[29]  Chao Yang,et al.  Cloud Computing Enabled Web Processing Service for Earth Observation Data Processing , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[30]  Rabindra K. Barik,et al.  Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud , 2014 .

[31]  Abbas Rajabifard,et al.  Spatial Data Infrastructure to Facilitate Coastal Zone Management , 2004 .

[32]  Mohammed Oludare Idrees,et al.  Challenges in Coastal Spatial Data Infrastructure implementation: A review , 2015 .

[33]  Theodor Foerster,et al.  Towards Spatial Data Infrastructures in the Clouds , 2010, AGILE Conf..

[34]  Hansi Senaratne,et al.  A review of volunteered geographic information quality assessment methods , 2017, Int. J. Geogr. Inf. Sci..

[35]  Konstantinos Evangelidis,et al.  Geospatial services in the Cloud , 2014, Comput. Geosci..

[36]  Chris Shaw,et al.  Supporting hypotheses management during asynchronous collaboration for visual analytics for text , 2016, Visualization and Data Analysis.

[37]  Marco Painho,et al.  Development of a Mobile Mapping Solution for Spatial Data Collection Using Open-Source Technologies , 2014 .

[38]  Scott D. Peckham,et al.  Driving plug-and-play models with data from web services: A demonstration of interoperability between CSDMS and CUAHSI-HIS , 2013, Comput. Geosci..

[39]  Roberto Roncella,et al.  Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI) , 2017, Trans. GIS.

[40]  Nathan R. Swain,et al.  A review of open source software solutions for developing water resources web applications , 2015, Environ. Model. Softw..

[41]  Peng Yue,et al.  Linked Data and SDI: The case on Web geoprocessing workflows , 2016 .

[42]  Trent M. Hare,et al.  Towards a Planetary Spatial Data Infrastructure , 2017, ISPRS Int. J. Geo Inf..

[43]  Dimitri P. Solomatine,et al.  Development of a web application for water resources based on open source software , 2014, Comput. Geosci..

[44]  Arpit Gupta,et al.  Automated Lane Detection by K-means Clustering: A Machine Learning Approach , 2016 .

[45]  Michael F. Goodchild,et al.  Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing? , 2011, Int. J. Digit. Earth.

[46]  Zhenlong Li,et al.  Big Data and cloud computing: innovation opportunities and challenges , 2017, Int. J. Digit. Earth.

[47]  Rabindra K. Barik,et al.  Service Oriented Architecture Based SDI Model for Mineral Resources Management in India , 2014 .

[48]  Arun B. Samaddar,et al.  Service Oriented Architecture Based SDI Model for Education Sector in India , 2013, FICTA.

[49]  Fabio Nardecchia,et al.  Web-Based Spatial Decision Support Systems to Monitor and Manage Coastal Environments , 2016 .

[50]  Liping Di,et al.  Adding Geospatial Data Provenance into SDI—A Service-Oriented Approach , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[51]  Steven J. Burian,et al.  A new open source platform for lowering the barrier for environmental web app development , 2016, Environ. Model. Softw..

[52]  Maria Antonia Brovelli,et al.  Public participation in GIS via mobile applications , 2016 .

[53]  Keyan Xiao,et al.  The design and implementation of the geological data acquisition system based on mobile GIS , 2011, 2011 19th International Conference on Geoinformatics.

[54]  Sarah M. Hamylton,et al.  Development of a spatial data infrastructure for coastal management in the Amirante Islands, Seychelles , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[55]  Ekkarat Boonchieng,et al.  Development of mHealth for public health information collection, with GIS, using private cloud: A case study of Saraphi district, Chiang Mai, Thailand , 2014, 2014 International Computer Science and Engineering Conference (ICSEC).