Open standards-based geoprocessing Web services support the study and management of hazard and risk

Reichardt, Mark

doi:10.1080/19475701003643458

Cited by 15 publications

(12 citation statements)

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“…With the OWS family a robust framework of open geo processing standards has been developed by the OGC that have been implemented by developers in a wide variety of successful geo processing software products [Reichardt 2010]. The usage of OWS in geospatial information technology systems is a best practice that has been adopted for modern geospatial EWS serving the upstream information flow (Fig.…”

Section: Generic Web Processing Servicementioning

confidence: 99%

“…While a-g constitute the result set of intersection matrices, matrix h describes a special case which is excluded from the result set since no Interior is intersected defining a standardized interface that facilitates the publishing of geospatial processes [OGC 2007], is best suited to serve as service facade for the new service named Affected Area Identification Service (AAIS). Interchange of geographic information is fostered by OGC Geography Markup Language (GML) that provides a means of encoding geographic information for data transport and data storage [Reichardt 2010] and that is used as complex geospatial data type in WPS method signatures.…”

Section: Generic Web Processing Servicementioning

confidence: 99%

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Tailoring spatial reference in early warning systems to administrative units

Lendholt

2010

Earth Sci Inform

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This paper presents a novel approach for early warning systems to transform the spatial reference of dispersion models into addressable administrative units enabling an intelligible warning message reception and spatial awareness. The spatial reference along the entire information chain from sensor measurements via dispersion model to warning dissemination is discussed. Core concept behind this approach is the application of the EgenhoferModel for analysis of binary topologic relations. It is used to identify topologic relations between dispersion model forecasts and administrative units. The result set of intersection matrices defines the relations that are counted for area classification with hazard specific parameters. Following the design for a generic and hazard-independent web service based on Open Geospatial Consortium (OGC) standards is presented in combination with results of the reference implementation.

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Section: Generic Web Processing Servicementioning

confidence: 99%

Section: Generic Web Processing Servicementioning

confidence: 99%

Tailoring spatial reference in early warning systems to administrative units

Lendholt

2010

Earth Sci Inform

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“…Therefore, these resources can be reused to support the collaborative solving of complex geographic problems. Regarding this aspect, the Open Geospatial Consortium (OGC) has proposed several service description specifications such as the Web Map Service (WMS), Web Feature Service (WFS), Web Coverage Service (WCS) and Web Processing Service (WPS) implementation standards (Botts et al, ; Granell et al, ; Reichardt, ). These service specifications are widely used in the field of geographic modeling and model‐related data (i.e., the raw data related to models, including input data, output data and control parameters) sharing in the open web environment; sample applications include the 52° North project (http://52north.org/) and Quantum GIS (QGIS) (QGIS Development Team, ).…”

Section: Introductionmentioning

confidence: 99%

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

Wang

Chen

et al. 2018

Earth and Space Science

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With the development of network technology, integrated modeling frameworks based on web services are becoming a key topic with regard to solving complex geographic problems. Currently, large numbers of geo‐analysis models and massive data resources are available on the open web. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; but combining these models and data resources for comprehensive simulations remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution and can serve as an intermediate linkage medium for model integration, yet in most cases, the data resources cannot be directly used to drive or link models. Data processing services that can prepare and process data are urgently needed in the web environment to enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work. Three types of data processing methods that can achieve mapping, refactoring, and visualization are designed in this article based on the proposed Universal Data eXchange (UDX) model. These methods can be published as data processing services to facilitate the operation of geo‐analysis models through the web environment. The applicability of the proposed data processing services is examined through two cases: the processing service is applied in model integration through the web in the first case, and data preparation with processing services for the Taihu Water Pollution Diffusion Model (TWPDM) is carried out in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo‐analysis models and data resources hosted on networks.

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“…These include: the use of different data models and terminologies representing different types of natural hazards, the use of specific local or national classification systems, the use of different data formats and data descriptions (metadata profiles) and the use of diverse coordinate reference systems. All these factors pose barriers to making data discoverable and interoperable (INSPIRE 2013b;Reichardt 2010).…”

Section: Common Data Model For Natural Hazards To Facilitate Cross-domentioning

confidence: 99%

Towards a cross-domain interoperable framework for natural hazards and disaster risk reduction information

et al. 2015

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According to the United Nations' International Strategy for Disaster Reduction, ''natural hazards are processes or phenomena that may cause loss of life, injury or other health impacts, property damage, loss of livelihoods and services, social and economic disruption, or environmental damage''. They are at the interface between human and natural systems. From this perspective, natural hazards are a multidimensional domain including environmental issues, the private and public sector and citizens and governance ranging from local to supranational. The vast amount of information and data necessary for comprehensive hazard and risk assessment present many challenges regarding the lack of accessibility, comparability, quality, organisation and dissemination of natural hazards spatial data. In order to mitigate these limitations, an interoperability framework has been developed and published in the INSPIRE Data Specification on Natural Risk Zonestechnical guidelines (DS) document. This framework provides means for facilitating access, integration, harmonisation and dissemination of natural hazard data from different domains and sources. The objective of this paper is twofold. Firstly, the paper highlights 123Nat Hazards (2015) 78:1545-1563 DOI 10.1007/s11069-015-1786 the key aspects of the interoperability to the various natural hazard communities and illustrates the applicability of the interoperability framework developed in the DS. And secondly, the paper ''translates'' into common language the main features and potentiality of the interoperability framework of the DS for a wider audience of scientists and practitioners in the natural hazard domain. In this paper, the four pillars of the interoperability framework will be presented. First, the adoption of a common terminology for the natural hazard domain will be addressed. A common data model to facilitate cross-domain data integration will then follow. Thirdly, the common methodology developed to express qualitative or quantitative assessments of natural hazards is presented. Fourthly, the extensible classification schema for natural hazards developed from a literature review and key reference documents from the contributing community of practice is discussed. Furthermore, the applicability of the interoperability framework for the various stakeholder groups is illustrated. This paper closes discussing main advantages, limitations and next steps regarding the sustainability and evolution of the interoperability framework.

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Open standards-based geoprocessing Web services support the study and management of hazard and risk

Cited by 15 publications

References 1 publication

Tailoring spatial reference in early warning systems to administrative units

Tailoring spatial reference in early warning systems to administrative units

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

Towards a cross-domain interoperable framework for natural hazards and disaster risk reduction information

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