Challenges of the Sensor Web for disaster management

Wang, Fei; Yuan, Huang

doi:10.1080/17538947.2010.484510

Cited by 38 publications

(15 citation statements)

References 29 publications

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“…CEOS 2005). There is a robust body of cartographic literature regarding the production of maps for use by decision-makers (Robinson and Petchenick 1976;Dransch, Rotzoll, and Poser 2010) and a recognition that decision-makers in time-sensitive situations are reluctant to adopt geographic information science (GIScience) technologies due to unfamiliarity (CEOS 2005;Wang and Yuan 2010;Brucewicz 2003;Cutter 2003;Alexander 2002). However, consideration of the utility of a given TSRS-derived information product to a given user has been largely absent from remote sensing literature.…”

Section: Definition Of Termsmentioning

confidence: 99%

On the nature of models for time-sensitive remote sensing

Lippitt

Stow

Clarke

2014

International Journal of Remote Sensing

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Remote sensing employs a range of conceptual and mechanistic models. Several conceptual models have been proposed to explain remote sensing systems (RSSs) and either directly prescribe or elucidate the configuration of such systems based on scene conditions and information requirements. This study interrogates the utility of these models for the design and practical implementation of RSSs to address timesensitive information requirements and proposes a novel conceptual model, the remote sensing communication model, that places remote sensing within a decision support context.Three pertinent remote sensing conceptual models are critically assessed based on their satisfaction of three basic requirements: (1) prescribe or explicate RSS configuration based on user information requirements, (2) elucidate dependencies between information type, accuracy, and timeliness, and (3) describe the effect of RSS configuration on the effectiveness of users' decisions. The conceptual remote sensing models that are evaluated are not found to be appropriate for the design and configuration of time-sensitive RSSs (TSRSSs).The remote sensing communication model employs the (information theory) communication model developed by Shannon and Weaver to elucidate the acquisition, transmission, processing, interpretation, and effectiveness of information derived from a TSRSS. Weaver's three levels of effective communication are used to explain the varying value of information as a function of time and user characteristics and to elucidate the effect of RSS configuration on the ability of remote sensing-derived information to inform decisions in a timely manner. The concept of communication channel capacity is used to estimate the timeliness of RSSs, and a brief example of its implementation is presented.

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Section: Definition Of Termsmentioning

confidence: 99%

On the nature of models for time-sensitive remote sensing

Lippitt

Stow

Clarke

2014

International Journal of Remote Sensing

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“…Webenabled sensor technology can be utilised to integrate this kind of live data to update the spatial fields of emergency database. (Fei & Hongyong 2010) Collection of the real-time fields such as flood gauzes, air pollution monitors and traffic data on the road can be obtained as a web service to update the attribute information that is present in the spatial database will help to provide better inputs to the disaster management systems. OGC has standardised an eXtensible Markup Language (XML)-based interface to obtain the real-time field to incorporate into attribute information of a spatial database along with existing data fields.…”

Section: Integration Of Web Servicesmentioning

confidence: 99%

Defining a framework for integration of Geospatial technologies for Emergency Management

Bhanumurthy

Shankar

Rao

et al. 2015

Geocarto International

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Geospatial technologies are emerging as one of the most promising environments for development of emergency management framework. Geospatial technologies such as Remote Sensing, Geographic Information Systems and Global Positioning Systems integrated with valuable near/real-time field information can provide a comprehensive platform for emergency management. Satellite imagery, vector database, Location Based Services and ancillary data having the relevant attribute information with access and query tools helps the disaster manager to analyse the required information for relief operations. However, the conceptual design of the database, integration procedures, development of decision support functions and dissemination of information integrating real-time information from the field are very important issues in development framework for emergency management. There are some technological challenges in the emergency response for deriving the required outputs such as damage assessment, evacuation planning, situation monitoring, information dissemination, and coordination of resource and logistic planning. This article provides a framework for the integration of various multi-disciplinary technologies for addressing emergency management.

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“…There is a robust body of cartographic literature regarding the production of maps for use by decision makers (Robinson andPetchenick 1976, Dransch, Rotzoll andPoser 2010) and a recognition that decision makers in time sensitive situations are reluctant to adopt GIScience technologies due to unfamiliarity (CEOS 2005, Wang andYuan 2010). However, consideration of the effectiveness of a given TSRS derived data product to a given user has been largely absent from remote sensing literature.…”

Section: The Utility Of Informationmentioning

confidence: 99%

Time-Sensitive Remote Sensing

Lippitt¹

2015

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iii Time--sensitive Remote Sensing Copyright © 2012 By Christopher D. Lippitt iv ACKNOWLEDGEMENTS This dissertation would not have happened, would have been substantially less insightful, or might have addressed a much different and no doubt less interesting topic, were it not for the following people. First and foremost, my wife Caitlin -she has been my guide and friend since I first arrived in California and has contributed immeasurably to this work in every possible capacity. Her encouragement to pursue ideas, thoughtful comments and revisions, and patience with my general disposition at times, made completing this work possible. My parents enabled this work by showing me how to live and contribute to the world without trying to influence how I did so. The completion of this dissertation is as much a product of their efforts as it is of mine.The largest single outside contributor to this work was Dr. Douglas Stow, who advised me, kept me on track, and at the same time allowed me to find my own way. Many of the ideas contained within this dissertation are his or were shaped by him and I will forever consider him a close friend to whom I owe a great deal. Dr. Keith Clarke encouraged me to explore Claude Shannon's early work and how it might inform the creation, transmission, and consumption of information from remote sensing sources, which clearly had a direct and lasting impact on this dissertation. Both Dr. Michael Goodchild and Dr. Keith Clarke espoused the intrinsic value of knowledge and encouraged big thinking and a search for theories of geographic information, which continues to impact my scientific outlook and career. Dr. Dar Roberts gave me a home and stimulating place to work and learn in Santa Barbara: the VIPER lab. He also showed me that expecting more from people can help them do things they might not have otherwise considered possible. Finally, a significant thanks is owed to Dr. Ming--Hsiang Tsou, who encouraged and enriched my thinking about information systems and distribution and the impact they can have on society.The list of people who contributed to my completion of this degree is long and impossible to complete. In particular I would like to thank the support staff at San Diego State University Department of Geography and University of California Santa Barbara Department of Geography: L. Pete Coulter, Dave McKinsey, Marcus Chiu, Patti O'Leary, Bonnie Golden, Lilia Ortiz, and last but certainly not least, Dylan Parenti. Several colleagues became close friends and contributed in a range of capacities, whether helping navigate bureaucracy, providing thoughtful feedback, or just helping me forget how much work I had to do: Grant Fraley, Marta Jankowska, Sean Crotty, Nicole Simons, Nate Royal, Pam Dalal, Cristiano Giovando, and Charlie Schmidt are but a few of these people. Geography, 2006Geography, , 2007Geography, , 2008Geography, , 2009Geography, , and 2010 First Place--AAG Human Environment Regional Observatory Fellowship; Awarded by George Perkins Marsh Institute, 2003, 2004 John ...

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Challenges of the Sensor Web for disaster management

Cited by 38 publications

References 29 publications

On the nature of models for time-sensitive remote sensing

On the nature of models for time-sensitive remote sensing

Defining a framework for integration of Geospatial technologies for Emergency Management

Time-Sensitive Remote Sensing

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