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Dr. Devanjan Bhattacharya
1. School of Law and School of Informatics, University of Edinburgh, EH8 9YL Edinburgh, UK

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0 Remote Sensing
0 GNSS
0 Geo-Informatics
0 Spatial data analytics
0 Applications to smart cities

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Journal article
Published: 23 August 2021 in ISPRS International Journal of Geo-Information
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Short distance travel and commute being inevitable, safe route planning in pandemics for micro-mobility, i.e., cycling and walking, is extremely important for the safety of oneself and others. Hence, we propose an application-based solution using COVID-19 occurrence data and a multi-criteria route planning technique for cyclists and pedestrians. This study aims at objectively determining the routes based on various criteria on COVID-19 safety of a given route while keeping the user away from potential COVID-19 transmission spots. The vulnerable spots include places such as a hospital or medical zones, contained residential areas, and roads with a high connectivity and influx of people. The proposed algorithm returns a multi-criteria route modeled on COVID-19-modified parameters of micro-mobility and betweenness centrality considering COVID-19 avoidance as well as the shortest available safe route for user ease and shortened time of outside environment exposure. We verified our routing algorithm in a part of Delhi, India, by visualizing containment zones and medical establishments. The results with COVID-19 data analysis and route planning suggest a safer route in the context of the coronavirus outbreak as compared to normal navigation and on average route extension is within 8%–12%. Moreover, for further advancement and post-COVID-19 era, we discuss the need for adding open data policy and the spatial system architecture for data usage, as a part of a pandemic strategy. The study contributes new micro-mobility parameters adapted for COVID-19 and policy guidelines based on aggregated contact tracing data analysis maintaining privacy, security, and anonymity.

ACS Style

Sumit Mishra; Nikhil Singh; Devanjan Bhattacharya. Application-Based COVID-19 Micro-Mobility Solution for Safe and Smart Navigation in Pandemics. ISPRS International Journal of Geo-Information 2021, 10, 571 .

AMA Style

Sumit Mishra, Nikhil Singh, Devanjan Bhattacharya. Application-Based COVID-19 Micro-Mobility Solution for Safe and Smart Navigation in Pandemics. ISPRS International Journal of Geo-Information. 2021; 10 (8):571.

Chicago/Turabian Style

Sumit Mishra; Nikhil Singh; Devanjan Bhattacharya. 2021. "Application-Based COVID-19 Micro-Mobility Solution for Safe and Smart Navigation in Pandemics." ISPRS International Journal of Geo-Information 10, no. 8: 571.

Correspondence
Published: 14 December 2020 in The Lancet Infectious Diseases
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COVID-19 poses a distinct health challenge in conflict-affected states. Conflict has been recognised as a direct threat to health and a factor that complicates responses to health crises.1The LancetViolent conflict and health.Lancet. 2010; https://www.thelancet.com/series/violent-conflict-and-healthDate accessed: November 7, 2020PubMed Google Scholar Reflecting these challenges, the UN Secretary General Antonio Guterres called for a global ceasefire to stop violent conflict and assist addressing the pandemic on March 23, 2020.2United NationsGlobal ceasefire.https://www.un.org/en/globalceasefireDate accessed: November 7, 2020Google Scholar In response, a number of organisations, including peacebuilders, researchers, and mediators (notably, the Mediation Support Unit of the UN Department of Political and Peacebuilding Affairs), came together to develop a ceasefire tracker that would also reflect health data and inform attempts to support ceasefires and pandemic responses in a coordinated way.

ACS Style

John Allison; Sanja Badanjak; Benjamin Bach; Christine Bell; Devanjan Bhattacharya; Fiona Knaussel; Laura Wise. An interactive tracker for ceasefires in the time of COVID-19. The Lancet Infectious Diseases 2020, 21, 764 -765.

AMA Style

John Allison, Sanja Badanjak, Benjamin Bach, Christine Bell, Devanjan Bhattacharya, Fiona Knaussel, Laura Wise. An interactive tracker for ceasefires in the time of COVID-19. The Lancet Infectious Diseases. 2020; 21 (6):764-765.

Chicago/Turabian Style

John Allison; Sanja Badanjak; Benjamin Bach; Christine Bell; Devanjan Bhattacharya; Fiona Knaussel; Laura Wise. 2020. "An interactive tracker for ceasefires in the time of COVID-19." The Lancet Infectious Diseases 21, no. 6: 764-765.

Journal article
Published: 14 December 2018 in Data
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Traffic jams can be avoided by controlling traffic signals according to quickly building congestion with steep gradients on short temporal and small spatial scales. With the rising standards of computational technology, single-board computers, software packages, platforms, and APIs (Application Program Interfaces), it has become relatively easy for developers to create systems for controlling signals and informative systems. Hence, for enhancing the power of Intelligent Transport Systems in automotive telematics, in this study, we used crowdsourced traffic congestion data from Google to adjust traffic light cycle times with a system that is adaptable to congestion. One aim of the system proposed here is to inform drivers about the status of the upcoming traffic light on their route. Since crowdsourced data are used, the system does not entail the high infrastructure cost associated with sensing networks. A full system module-level analysis is presented for implementation. The system proposed is fail-safe against temporal communication failure. Along with a case study for examining congestion levels, generic information processing for the cycle time decision and status delivery system was tested and confirmed to be viable and quick for a restricted prototype model. The information required was delivered correctly over sustained trials, with an average time delay of 1.5 s and a maximum of 3 s.

ACS Style

Sumit Mishra; Devanjan Bhattacharya; Ankit Gupta. Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs. Data 2018, 3, 67 .

AMA Style

Sumit Mishra, Devanjan Bhattacharya, Ankit Gupta. Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs. Data. 2018; 3 (4):67.

Chicago/Turabian Style

Sumit Mishra; Devanjan Bhattacharya; Ankit Gupta. 2018. "Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs." Data 3, no. 4: 67.

Journal article
Published: 20 September 2018 in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Controlling of traffic signals optimally helps in avoiding traffic jams as vehicle volume density changes on temporally short and spatially small scales. Nowadays, due to embedded system development with the rising standards of computational technology, condense electronics boards as well as software packages, system can be developed for controlling cycle time in real time. At present, the traffic control systems in India lack intelligence and act as an open-loop control system, with no feedback or sensing network, due to the high costs involved. This paper aims to improve the traffic control system by integrating different technologies to provide intelligent feedback to the existing network with congestion status adapting to the changing traffic density patterns. The system presented in this paper aims to sense real-time traffic congestion around the traffic light using Google API crowdsource data and hence avoids infrastructure cost of sensors. Subsequently, it manipulates the signal timing by triggering and conveying information to the timer control system. Generic information processing and communication hardware system designed in this paper has been tested and found to be functional for a pilot run in real time. Both simulation and hardware trials show the transmission of required information with an average time delay of 1.2 seconds that is comparatively very small considering cycle time.

ACS Style

Sumit Mishra; D. Bhattacharya; A. Gupta; V. R. Singh. ADAPTIVE TRAFFIC LIGHT CYCLE TIME CONTROLLER USING MICROCONTROLLERS AND CROWDSOURCE DATA OF GOOGLE APIs FOR DEVELOPING COUNTRIES. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2018, IV-4/W7, 83 -90.

AMA Style

Sumit Mishra, D. Bhattacharya, A. Gupta, V. R. Singh. ADAPTIVE TRAFFIC LIGHT CYCLE TIME CONTROLLER USING MICROCONTROLLERS AND CROWDSOURCE DATA OF GOOGLE APIs FOR DEVELOPING COUNTRIES. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2018; IV-4/W7 ():83-90.

Chicago/Turabian Style

Sumit Mishra; D. Bhattacharya; A. Gupta; V. R. Singh. 2018. "ADAPTIVE TRAFFIC LIGHT CYCLE TIME CONTROLLER USING MICROCONTROLLERS AND CROWDSOURCE DATA OF GOOGLE APIs FOR DEVELOPING COUNTRIES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W7, no. : 83-90.

Journal article
Published: 11 July 2018 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The GEO-C doctoral programme, entitled “Geoinformatics: Enabling Open Cities”, is funded by the EU Marie Skłodowska-Curie actions (International Training Networks (ITN), European Joint Doctorates) until December 2018, and is managed by three European universities in Germany, Portugal and Spain. 15 doctoral grantholders (Early Stage Researchers) were selected to work on specific three-year projects, all contributing to improving the notion of open cities, and specifically to an Open City Toolkit of methodologies, code, and best practice examples. Contributions include volunteered geographic information (VGI), public information displays, mobility apps to encourage green living, providing open data to immigrant populations, reducing the second-order digital divide, sensing of quality of life, proximity based privacy protection, and spatio-temporal online social media analysis. All doctoral students conducted long-term visits and were embedded in city governments and businesses, to gain experience from multiple perspectives in addition to the researcher and users’ perspective. The projects are situated within three areas: transparency, participation, and collaboration. They took mostly a bottom-up (citizen-centric) approach to (smart) open cities, rather than relying on large IT companies to create smart open cities in a top-down manner. This paper discusses the various contributions to enabling open cities, explains in some detail the Open City Toolkit, and its possible uses and impact on stakeholders. A follow-up doctoral program has been solicited and, if successful, will continue this line of research and will strengthen aspects of privacy, data provenance, and trust, in an effort to improve relations between data (e.g. news) publishers and consumers.

ACS Style

C. Granell; D. Bhattacharya; Sven Casteleyn; Auriol Degbelo; M. Gould; Christian Kray; M. Painho; S. Trilles. GEO-C: ENABLING OPEN CITIES AND THE OPEN CITY TOOLKIT. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2018, XLII-4/W8, 61 -68.

AMA Style

C. Granell, D. Bhattacharya, Sven Casteleyn, Auriol Degbelo, M. Gould, Christian Kray, M. Painho, S. Trilles. GEO-C: ENABLING OPEN CITIES AND THE OPEN CITY TOOLKIT. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2018; XLII-4/W8 ():61-68.

Chicago/Turabian Style

C. Granell; D. Bhattacharya; Sven Casteleyn; Auriol Degbelo; M. Gould; Christian Kray; M. Painho; S. Trilles. 2018. "GEO-C: ENABLING OPEN CITIES AND THE OPEN CITY TOOLKIT." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W8, no. : 61-68.

Conference paper
Published: 01 January 2018 in Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management
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Spatio-temporal aspects of data lead to critical information. Sensors capture data at all scales continually so it is imperative that useful information be extracted ubiquitously and regularly. Location plays a vital part by helping understand relations between datasets. It is crucial to link developmental works with spatial attributes and current challenge is to create an open platform that manages real-time sensor data and provides critical spatial analytics atop expert domain knowledge provided in the system. That is a two-faced problem where the solution tackles not only data from multiple sources but also runs data management platform, a spatial data infrastructure(SDI) as backbone framework able to harness sensor web(SW). The paper proposes development of such a globally shared open spatial expert system(ES), SmaCiSENS, a first of a kind geo-enabled knowledge based(KB) ES for multiple fields, smarter cities to climate modeling. SmaCiSENS is integration of SW and SDI with domain

ACS Style

Devanjan Bhattacharya; Marco Painho. Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS). Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management 2018, 282 -289.

AMA Style

Devanjan Bhattacharya, Marco Painho. Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS). Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management. 2018; ():282-289.

Chicago/Turabian Style

Devanjan Bhattacharya; Marco Painho. 2018. "Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS)." Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management , no. : 282-289.

Journal article
Published: 25 September 2017 in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion of an integrated, independent, generalized, and automated geo-event analysing system making use of geo-spatial data under popular usage platform. Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. The other benefit, conversely, is the expansion of spatial data infrastructure to utilize sensor web, dynamically and in real time for smart applications that smarter cities demand nowadays. Hence, SENSDI augments existing smart cities platforms utilizing sensor web and spatial information achieved by coupling pairs of otherwise disjoint interfaces and APIs formulated by Open Geospatial Consortium (OGC) keeping entire platform open access and open source. SENSDI is based on Geonode, QGIS and Java, that bind most of the functionalities of Internet, sensor web and nowadays Internet of Things superseding Internet of Sensors as well. In a nutshell, the project delivers a generalized real-time accessible and analysable platform for sensing the environment and mapping the captured information for optimal decision-making and societal benefit.

ACS Style

D. Bhattacharya; M. Painho. SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2017, IV-4/W3, 21 -28.

AMA Style

D. Bhattacharya, M. Painho. SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017; IV-4/W3 ():21-28.

Chicago/Turabian Style

D. Bhattacharya; M. Painho. 2017. "SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI)." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W3, no. : 21-28.

Journal article
Published: 25 September 2017 in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The present study describes an integrated system for traffic data collection and alert warning. Geographical information based decision making related to traffic destinations and routes is proposed through the design. The system includes a geospatial database having profile relating to a user of a mobile device. The processing and understanding of scanned maps, other digital data input leads to route guidance. The system includes a server configured to receive traffic information relating to a route and location information relating to the mobile device. Server is configured to send a traffic alert to the mobile device when the traffic information and the location information indicate that the mobile device is traveling toward traffic congestion. Proposed system has geospatial and mobile data sets pertaining to Bangalore city in India. It is envisaged to be helpful for touristic purposes as a route guidance and alert relaying information system to tourists for proximity to sites worth seeing in a city they have entered into. The system is modular in architecture and the novelty lies in integration of different modules carrying different technologies for a complete traffic information system. Generic information processing and delivery system has been tested to be functional and speedy under test geospatial domains. In a restricted prototype model with geo-referenced route data required information has been delivered correctly over sustained trials to designated cell numbers, with average time frame of 27.5 seconds, maximum 50 and minimum 5 seconds. Traffic geo-data set trials testing is underway.

ACS Style

D. Bhattacharya; M. Painho; S. Mishra; A. Gupta. MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2017, XLII-4/W3, 11 -18.

AMA Style

D. Bhattacharya, M. Painho, S. Mishra, A. Gupta. MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017; XLII-4/W3 ():11-18.

Chicago/Turabian Style

D. Bhattacharya; M. Painho; S. Mishra; A. Gupta. 2017. "MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W3, no. : 11-18.

Conference paper
Published: 03 November 2016 in Transactions on Petri Nets and Other Models of Concurrency XV
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The literature has offered a number of surveys regarding the concept of smart city, but few assessments of toolkits. This paper presents a short analysis of existing smart city toolkits. The analysis yields some general observations about existing toolkits. The article closes with a brief introduction of the Open City Toolkit, a toolkit currently under development which aims at addressing some of the gaps of existing toolkits.

ACS Style

Auriol Degbelo; Devanjan Bhattacharya; Carlos Granell; Sergio Trilles. Toolkits for Smarter Cities: A Brief Assessment. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 431 -436.

AMA Style

Auriol Degbelo, Devanjan Bhattacharya, Carlos Granell, Sergio Trilles. Toolkits for Smarter Cities: A Brief Assessment. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():431-436.

Chicago/Turabian Style

Auriol Degbelo; Devanjan Bhattacharya; Carlos Granell; Sergio Trilles. 2016. "Toolkits for Smarter Cities: A Brief Assessment." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 431-436.

Journal article
Published: 03 June 2016 in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs and functions between Sensor Web and SDI, and Case studies like hazard applications, urban applications etc. We take up co-operative development of SDI best practices to enable a new realm of a location enabled and semantically enriched World Wide Web - the "Geospatial Web" or "Geosemantic Web" by setting up one to one correspondence between WMS, WFS, WCS, Metadata and 'Sensor Observation Service' (SOS); 'Sensor Planning Service' (SPS); 'Sensor Alert Service' (SAS); a service that facilitates asynchronous message interchange between users and services, and between two OGC-SWE services, called the 'Web Notification Service' (WNS). Hence in conclusion, it is of importance to geospatial studies to integrate SDI with Sensor Web. The integration can be done through merging the common OGC interfaces of SDI and Sensor Web. Multi-usability studies to validate integration has to be undertaken as future research.

ACS Style

D. Bhattacharya; M. Painho. DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, III-4, 33 -39.

AMA Style

D. Bhattacharya, M. Painho. DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; III-4 ():33-39.

Chicago/Turabian Style

D. Bhattacharya; M. Painho. 2016. "DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences III-4, no. : 33-39.

Journal article
Published: 17 February 2016 in ISPRS International Journal of Geo-Information
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The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city’s operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens’ data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.

ACS Style

Auriol Degbelo; Carlos Granell; Sergio Trilles; Devanjan Bhattacharya; Sven Casteleyn; Christian Kray. Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience. ISPRS International Journal of Geo-Information 2016, 5, 16 .

AMA Style

Auriol Degbelo, Carlos Granell, Sergio Trilles, Devanjan Bhattacharya, Sven Casteleyn, Christian Kray. Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience. ISPRS International Journal of Geo-Information. 2016; 5 (2):16.

Chicago/Turabian Style

Auriol Degbelo; Carlos Granell; Sergio Trilles; Devanjan Bhattacharya; Sven Casteleyn; Christian Kray. 2016. "Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience." ISPRS International Journal of Geo-Information 5, no. 2: 16.

Journal article
Published: 01 September 2015 in Journal of Computing in Civil Engineering
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Hazard warning is an area of research that requires both hazard evaluation and warning dissemination. At present, no such system carrying out both hazard evaluation and warning communication directly to the user community exists. Thus, there has been a need to develop an automated integrated system to categorize hazard and issue warning that reaches users directly. The objective of this paper is to develop an integrated, independent, generalized, and automated geo-hazard warning system, making use of geo-spatial data under popular usage platform. Thus, in this paper, development of GEOWARNS, an automated geo-spatial hazard warning system, has been elaborated. Testing and validation of the developed system has been carried out for landslide hazard evaluation and its warning dissemination pertaining to a comprehensive case study in Italy. The functionality of GEOWARNS is modular in architecture, having input, understanding, rainfall prediction, expert, output, and warning modules. The categories of hazard zones that have been evaluated by GEOWARNS show discrepancy of 5.9% in high hazard zones, nearly approximately 1.1 and 3.8% in moderate- and low-hazard zones, respectively, in comparison with the in situ expert evaluation. Further, the message dissemination through local cellular network has been found to be immediate with a maximum time lag recorded of 50 s, a minimum of 5 s, and an average of 15 s within the acceptable limits as indicated by the authorities in the United Nations (UN). Thus, it can be concluded that an automated hazard warning system has been developed. However, other scopes are needed to develop it furthe

ACS Style

Jayanta Kumar Ghosh; Devanjan Bhattacharya; Piero Boccardo; Narendra Kumar Samadhiya. Automated Geo-Spatial Hazard Warning System GEOWARNS: Italian Case Study. Journal of Computing in Civil Engineering 2015, 29, 04014065 .

AMA Style

Jayanta Kumar Ghosh, Devanjan Bhattacharya, Piero Boccardo, Narendra Kumar Samadhiya. Automated Geo-Spatial Hazard Warning System GEOWARNS: Italian Case Study. Journal of Computing in Civil Engineering. 2015; 29 (5):04014065.

Chicago/Turabian Style

Jayanta Kumar Ghosh; Devanjan Bhattacharya; Piero Boccardo; Narendra Kumar Samadhiya. 2015. "Automated Geo-Spatial Hazard Warning System GEOWARNS: Italian Case Study." Journal of Computing in Civil Engineering 29, no. 5: 04014065.

Journal article
Published: 01 October 2014 in Cogent Engineering
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Today, open systems are needed for real time analysis and warnings on geo-hazards and over time can be achieved using Open Source Geographical Information System (GIS)-based platform such as GeoNode which is being contributed to by developers around the world. To develop on an open source platform is a very vital component for better disaster information management as far as spatial data infrastructures are concerned and this would be extremely vital when huge databases are to be created and consulted regularly for city planning at different scales, particularly satellite images and maps of locations. There is a big need for spatially referenced data creation, analysis, and management. Some of the salient points that this research would be able to definitely contribute with GeoNode, being an open source platform, are facilitating the creation, sharing, and collaborative use of geospatial data. The objective is development of an automated natural hazard zonation system with Internet-short message service (SMS) warning utilizing geomatics for sustainable societies. A concept of developing an internet-resident geospatial geohazard warning system has been put forward in this research, which can communicate alerts via SMS. There has been a need to develop an automated integrated system to categorize hazard and issue warning that reaches users directly. At present, no web-enabled warning system exists which can disseminate warning after hazard evaluation at one go and in real time. The objective of this research work has been to formalize a notion of an integrated, independent, generalized, and automated geo-hazard warning system making use of geo-spatial data under popular usage platform. In this paper, a model of an automated geo-spatial hazard warning system has been elaborated. The functionality is to be modular in architecture having GIS-graphical user interface (GUI), input, understanding, rainfall prediction, expert, output, and warning modules. A simplified but working prototype of the system without the GIS-GUI module has been already tested, validated, and reported. Through this paper, a significantly enhanced system integrated with web-enabled-geospatial information has been proposed, and it can be concluded that an automated hazard warning system has been conceptualized and researched. However, now the scope is to develop it further

ACS Style

Devanjan Bhattacharya; Jayanta Kumar Ghosh; Jitka Komarkova; Santo Banerjee; Hakan Kutoglu. Distributed GIS for automated natural hazard zonation mapping Internet-SMS warning towards sustainable society. Cogent Engineering 2014, 1, 1 .

AMA Style

Devanjan Bhattacharya, Jayanta Kumar Ghosh, Jitka Komarkova, Santo Banerjee, Hakan Kutoglu. Distributed GIS for automated natural hazard zonation mapping Internet-SMS warning towards sustainable society. Cogent Engineering. 2014; 1 (1):1.

Chicago/Turabian Style

Devanjan Bhattacharya; Jayanta Kumar Ghosh; Jitka Komarkova; Santo Banerjee; Hakan Kutoglu. 2014. "Distributed GIS for automated natural hazard zonation mapping Internet-SMS warning towards sustainable society." Cogent Engineering 1, no. 1: 1.

Chapter
Published: 30 September 2014 in Lecture Notes in Geoinformation and Cartography
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The joining of geospatial datasets is required to utilize the complete set of information available in each of them. There are many open source geospatial datasets available such as GeoNames, Open Street Map, Natural Earth and to get a comprehensive dataset with the union of all available information it is important that such datasets are linked optimally without redundancy or loss of information. Many of the geolocations on digital maps are not classified for importance because of the lack of additional information such as population or administrative level. A way to give an importance scale to the names is by linking the GeoNames to other datasets (OSM, natural earth). OpenStreetMap data provides a limited number of place classifications (such as city, town, village). For the best cartographic results we need classes that are a little more comprehensive about how they rank cities. The challenges faced include geometry searching, matching, buffer determination, local regional naming text inclusion and accuracy. This has been achieved by the current research work where presently GeoNames, Natural Earth and Open Street Map data tables have been merged with the union of all their attribute columns resulting in a complete geospatial dataset with place accuracy of atleast 95 % for any given country dataset. The data tables at global level consist of hundreds of thousands of rows with each row depicting a geolocation. The geometry, name and geo-id complete and fuzzy searching and matching around a buffer of 50 km took a minimum of 30 s to maximum 1 min in a commodity computer with 2 GHz, 2 GB memory, according to size and complexity of the query run for a country which could have a list of points ranging from a dozen to several hundreds. The future aim is to ultimately do this for global datasets to create an all-encompassing geodata bank having such information as administrative, political, ecological details from important databases as GAUL, SALB, GADM etc.

ACS Style

D. Bhattacharya; P. Pasquali; J. Komárková; P. Sedlák; A. Saha; P. Boccardo. Interlinking Opensource Geo-Spatial Datasets for Optimal Utility in Ranking. Lecture Notes in Geoinformation and Cartography 2014, 159 -172.

AMA Style

D. Bhattacharya, P. Pasquali, J. Komárková, P. Sedlák, A. Saha, P. Boccardo. Interlinking Opensource Geo-Spatial Datasets for Optimal Utility in Ranking. Lecture Notes in Geoinformation and Cartography. 2014; ():159-172.

Chicago/Turabian Style

D. Bhattacharya; P. Pasquali; J. Komárková; P. Sedlák; A. Saha; P. Boccardo. 2014. "Interlinking Opensource Geo-Spatial Datasets for Optimal Utility in Ranking." Lecture Notes in Geoinformation and Cartography , no. : 159-172.

Conference paper
Published: 01 January 2013 in International Conference on Software Engineering and Applications
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ACS Style

Jitka Komarkova; Jakub Spidlen; Devanjan Bhattacharya; Oldřich Horák. Distributed Processing of Elevation Data by Means of Apache Hadoop in a Small Cluster. International Conference on Software Engineering and Applications 2013, 340 -344.

AMA Style

Jitka Komarkova, Jakub Spidlen, Devanjan Bhattacharya, Oldřich Horák. Distributed Processing of Elevation Data by Means of Apache Hadoop in a Small Cluster. International Conference on Software Engineering and Applications. 2013; ():340-344.

Chicago/Turabian Style

Jitka Komarkova; Jakub Spidlen; Devanjan Bhattacharya; Oldřich Horák. 2013. "Distributed Processing of Elevation Data by Means of Apache Hadoop in a Small Cluster." International Conference on Software Engineering and Applications , no. : 340-344.

Journal article
Published: 01 January 2013 in European Journal of Remote Sensing
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ACS Style

Devanjan Bhattacharya. Automated Geo-Spatial System for Generalized Assessment of Socio-Economic Vulnerability due to Landslide in a Region. European Journal of Remote Sensing 2013, 46, 379 -399.

AMA Style

Devanjan Bhattacharya. Automated Geo-Spatial System for Generalized Assessment of Socio-Economic Vulnerability due to Landslide in a Region. European Journal of Remote Sensing. 2013; 46 (1):379-399.

Chicago/Turabian Style

Devanjan Bhattacharya. 2013. "Automated Geo-Spatial System for Generalized Assessment of Socio-Economic Vulnerability due to Landslide in a Region." European Journal of Remote Sensing 46, no. 1: 379-399.

Chapter
Published: 01 January 2013 in Sustainable and Responsible Entrepreneurship and Key Drivers of Performance
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Satellite imagery interpretation has become the technology of choice for a host of developmental, scientific, and administrative management work. The huge repository of geospatial data and information that are available as satellite imageries datasets from platforms such as Google Earth need to be classified and understood for natural resources management, urban planning, and sustainable development. The classification and analysis procedures involve algorithms like maximum likelihood classifier, isodata, fuzzy-logic classifier, and artificial neural network based classifier. Amongst these classifiers the optimum has to be selected for classifications which involve multiple features and classes. Herein lies the motivation for the present research, which can facilitate the selection of one amongst the many algorithms available to a decision maker/manager. The aforementioned techniques are applied for classification, and the respective accuracies in the classes of forestry, rock, water, built-up area, and dry river bed have been tabulated and verified from ground truth. The comparison is based on time and space complexity of the algorithms considering also the accuracy. It is found that traditional methods like MLC and Isodata offer good time and space consumption performance over the recent more adaptable algorithms as fuzzy and ANN. But the latter group excels in accuracy of assessment. The study suggests points and cases for ranking the techniques as best, 2nd best, and so on, where each technique could be optimally utilised for a given geospatial dataset based on its contents.

ACS Style

Devanjan Bhattacharya; Santo Banerjee. A Comparative Study of Four Different Satellite Image Classification Techniques for Geospatial Management. Sustainable and Responsible Entrepreneurship and Key Drivers of Performance 2013, 283 -295.

AMA Style

Devanjan Bhattacharya, Santo Banerjee. A Comparative Study of Four Different Satellite Image Classification Techniques for Geospatial Management. Sustainable and Responsible Entrepreneurship and Key Drivers of Performance. 2013; ():283-295.

Chicago/Turabian Style

Devanjan Bhattacharya; Santo Banerjee. 2013. "A Comparative Study of Four Different Satellite Image Classification Techniques for Geospatial Management." Sustainable and Responsible Entrepreneurship and Key Drivers of Performance , no. : 283-295.

Review
Published: 01 November 2012 in Natural Hazards Review
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The advent and evolution of geohazard warning systems is a very interesting study. The two broad fields that are immediately visible are that of geohazard evaluation and subsequent warning dissemination. Evidently, the latter field lacks any systematic study or standards. Arbitrarily organized and vague data and information on warning techniques create confusion and indecision. The purpose of this review is to try and systematize the available bulk of information on warning systems so that meaningful insights can be derived through decidable flowcharts, and a developmental process can be undertaken. Hence, the methods and technologies for numerous geohazard warning systems have been assessed by putting them into suitable categories for better understanding of possible ways to analyze their efficacy as well as shortcomings. By establishing a classification scheme based on extent, control, time period, and advancements in technology, the geohazard warning systems available in any literature could be comprehensively analyzed and evaluated. Although major advancements have taken place in geohazard warning systems in recent times, they have been lacking a complete purpose. Some systems just assess the hazard and wait for other means to communicate, and some are designed only for communication and wait for the hazard information to be provided, which usually is after the mishap. Primarily, systems are left at the mercy of administrators and service providers and are not in real time. An integrated hazard evaluation and warning dissemination system could solve this problem. Warning systems have also suffered from complexity of nature, requirement of expert-level monitoring, extensive and dedicated infrastructural setups, and so on. The user community, which would greatly appreciate having a convenient, fast, and generalized warning methodology, is surveyed in this review. The review concludes with the future scope of research in the field of hazard warning systems and some suggestions for developing an efficient mechanism toward the development of an automated integrated geohazard warning system.

ACS Style

Devanjan Bhattacharya; J. K. Ghosh; N. K. Samadhiya. Review of Geohazard Warning Systems toward Development of a Popular Usage Geohazard Warning Communication System. Natural Hazards Review 2012, 13, 260 -271.

AMA Style

Devanjan Bhattacharya, J. K. Ghosh, N. K. Samadhiya. Review of Geohazard Warning Systems toward Development of a Popular Usage Geohazard Warning Communication System. Natural Hazards Review. 2012; 13 (4):260-271.

Chicago/Turabian Style

Devanjan Bhattacharya; J. K. Ghosh; N. K. Samadhiya. 2012. "Review of Geohazard Warning Systems toward Development of a Popular Usage Geohazard Warning Communication System." Natural Hazards Review 13, no. 4: 260-271.

Journal article
Published: 21 July 2012 in Natural Hazards
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An automated geo-hazard warning system is the need of the hour. It is integration of automation in hazard evaluation and warning communication. The primary objective of this paper is to explain a geo-hazard warning system based on Internet-resident concept and available cellular mobile infrastructure that makes use of geo-spatial data. The functionality of the system is modular in architecture having input, understanding, expert, output and warning modules. Thus, the system provides flexibility in integration between different types of hazard evaluation and communication systems leading to a generalized hazard warning system. The developed system has been validated for landslide hazard in Indian conditions. It has been realized through utilization of landslide causative factors, rainfall forecast from NASA’s TRMM (Tropical Rainfall Measuring Mission) and knowledge base of landslide hazard intensity map and invokes the warning as warranted. The system evaluated hazard commensurate with expert evaluation within 5–6 % variability, and the warning message permeability has been found to be virtually instantaneous, with a maximum time lag recorded as 50 s, minimum of 10 s. So it could be concluded that a novel and stand-alone system for dynamic hazard warning has been developed and implemented. Such a handy system could be very useful in a densely populated country where people are unaware of the impending hazard.

ACS Style

J. K. Ghosh; Devanjan Bhattacharya; N. K. Samadhiya; Piero Boccardo. A generalized geo-hazard warning system. Natural Hazards 2012, 64, 1273 -1289.

AMA Style

J. K. Ghosh, Devanjan Bhattacharya, N. K. Samadhiya, Piero Boccardo. A generalized geo-hazard warning system. Natural Hazards. 2012; 64 (2):1273-1289.

Chicago/Turabian Style

J. K. Ghosh; Devanjan Bhattacharya; N. K. Samadhiya; Piero Boccardo. 2012. "A generalized geo-hazard warning system." Natural Hazards 64, no. 2: 1273-1289.

Book chapter
Published: 24 May 2012 in Understanding Complex Systems
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Natural phenomena do not evolve linearly. The rapidly changing dynamics of eco-processes require modeling through non-linear concepts such as non-discreet fuzzy theory. The classification of data has been done using maximum likelihood classifier and Gaussian distribution. To better capture an event such as landslide it is imperative that the inherent continuity of the causative factors of the phenomenon are well represented. And that the uncertainties involved in assigning the probabilities of occurrences are taken care of. Decision making depends upon multiple parameters and their collective evaluation. Hence multi-criteria evaluation (MCE) of fuzzy variables has been implemented. A fuzzy knowledge-based geographical information system to categorize a given region into five levels of landslide susceptibility very high, high, moderate, low, and very low, has been presented in this chapter. The approach has used membership function for causative factors of landslide. This makes the system take into account uncertainty of the contributory factors of landslide. Due weightage has been assigned to the different spatial variations of these causative factors stored in the knowledge base. The input to the system consists of satellite data and topographic maps, as layers of information for the causative factors. The system carries out decision making by using multi-criteria evaluation of each input layer for adjusting its suitability, defined by the membership values and weights towards landslide susceptibility. The test conducted shows that the highly susceptible region extends along the zone of high rock mass thrust and slope failure and occupies 20-25% of the total study area. The very high threat occupies around 9-12% of the study area also falling on the higher slopes. On comparison of the susceptibility map with ground data, it has been found that three existing slides appear in the very high and high threat susceptible zones delineated by the system.

ACS Style

J. K. Ghosh; Devanjan Bhattacharya; Swej Kumar Sharma. Fuzzy Knowledge Based GIS for Zonation of Landslide Susceptibility. Understanding Complex Systems 2012, 21 -37.

AMA Style

J. K. Ghosh, Devanjan Bhattacharya, Swej Kumar Sharma. Fuzzy Knowledge Based GIS for Zonation of Landslide Susceptibility. Understanding Complex Systems. 2012; ():21-37.

Chicago/Turabian Style

J. K. Ghosh; Devanjan Bhattacharya; Swej Kumar Sharma. 2012. "Fuzzy Knowledge Based GIS for Zonation of Landslide Susceptibility." Understanding Complex Systems , no. : 21-37.