Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing

Conrad, Bielski; Pappalardo, M.

doi:10.3390/rs3061234

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…The introduction of data processing methods following the standards of the OGC allows implementation to be easily understood, reproduced, and integrated into other applications [67]. This specific technology to process geospatial raster or vector data via web resources (server, network) was introduced by the OGC in 2007.…”

Section: Technical Implementationmentioning

confidence: 99%

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

et al. 2012

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We present a novel and innovative automated processing environment for the derivation of land cover (LC) and land use (LU) information. This processing framework named TWOPAC (TWinned Object and Pixel based Automated classification Chain) enables the standardized, independent, user-friendly, and comparable derivation of LC and LU information, with minimized manual classification labor. TWOPAC allows classification of multi-spectral and multi-temporal remote sensing imagery from different sensor types. TWOPAC enables not only pixel-based classification, but also allows classification based on object-based characteristics. Classification is based on a Decision Tree approach (DT) for which the well-known C5.0 code has been implemented, which builds decision trees based on the concept of information entropy. TWOPAC enables automatic generation of the decision tree classifier based on a C5.0-retrieved ascii-file, as well as fully automatic validation of the classification output via sample based accuracy assessment. Envisaging the automated generation of standardized land cover products, as well as area-wide classification of large amounts of data in preferably a short processing time, standardized interfaces for process control, Web Processing Services (WPS), as introduced by the Open Geospatial Consortium (OGC), are utilized. TWOPAC's functionality to process geospatial raster or vector data via web resources (server, network) enables 2531TWOPAC's usability independent of any commercial client or desktop software and allows for large scale data processing on servers. Furthermore, the components of TWOPAC were built-up using open source code components and are implemented as a plug-in for Quantum GIS software for easy handling of the classification process from the user's perspective.

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Section: Technical Implementationmentioning

confidence: 99%

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

et al. 2012

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“…Satellite imagery holds high value for assessing post-disaster impacts (e.g., [76]), and low-light visible sensing can play a particularly important role. Figure 15 depicts two notable recent examples of power outages associated with natural disasters (in the aftermath of Super Storm Sandy in Figure 15a, and the Moore, Oklahoma tornado in Figure 15b)-reminders of the coupling between the atmosphere, hydrosphere, and biosphere-that were captured by comparing before/after imagery from the VIIRS/DNB.…”

Section: City Lights and Power Outagesmentioning

confidence: 99%

Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band

Miller

Straka

Mills³

et al. 2013

Remote Sensing

305

207

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Daytime measurements of reflected sunlight in the visible spectrum have been a staple of Earth-viewing radiometers since the advent of the environmental satellite platform. At night, these same optical-spectrum sensors have traditionally been limited to thermal infrared emission, which contains relatively poor information content for many OPEN ACCESSRemote Sens. 2013, 5 6718 important weather and climate parameters. These deficiencies have limited our ability to characterize the full diurnal behavior and processes of parameters relevant to improved monitoring, understanding and modeling of weather and climate processes. Visible-spectrum light information does exist during the nighttime hours, originating from a wide variety of sources, but its detection requires specialized technology. Such measurements have existed, in a limited way, on USA Department of Defense satellites, but the Suomi National Polar-orbiting Partnership (NPP) satellite, which carries a new Day/Night Band (DNB) radiometer, offers the first quantitative measurements of nocturnal visible and near-infrared light. Here, we demonstrate the expanded potential for nocturnal low-light visible applications enabled by the DNB. Via a combination of terrestrial and extraterrestrial light sources, such observations are always available-expanding many current existing applications while enabling entirely new capabilities. These novel low-light measurements open doors to a wealth of new interdisciplinary research topics while lighting a pathway toward the optimized design of follow-on satellite based low light visible sensors.

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“…However, this approach has been criticized for its technical complexity, which may lead to nondomain users defining workflows (Bensmann, Alcacer-Labrador, Ziegenhagen, & Roosmann, 2014 ). Another option for orchestration is to wrap a sequence of WPS calls within another WPS (Bielski, Gentilini, & Pappalardo, 2011 ;Eberle & Strobl, 2012 ). The third option mentioned in the WPS standard is to encode a chain of services within the execute query to form a cascading request.…”

Section: Rel Ated Work On S Ervice Orche S Tr Ati Onmentioning

confidence: 99%

Full Meta Object profiling for flexible geoprocessing workflows

Rosser

Jackson

Leibovici

2018

Transactions in GIS

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The design and running of complex geoprocessing workflows is an increasingly common geospatial modelling and analysis task. The Business Process Model and Notation (BPMN) standard, which provides a graphical representation of a workflow, allows stakeholders to discuss the scientific conceptual approach behind this modelling while also defining a machine‐readable encoding in XML. Previous research has enabled the orchestration of Open Geospatial Consortium Web Processing Services (WPS) with a BPMN workflow engine. However, the need for direct access to predefined data inputs and outputs results in a lack of flexibility during composition of the workflow and of efficiency during execution. This article develops metadata profiling approaches, described as two possible configurations, which enable workflow management at the meta‐level through a coupling with a metadata catalogue. Specifically, a WPS profile and a BPMN profile are developed and tested using open‐source components to achieve this coupling. A case study in the context of an event mapping task applied within a big data framework and based on analysis of the Global Database of Event Language and Tone database illustrates the two different architectures.

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Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing

Cited by 10 publications

References 11 publications

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band

Full Meta Object profiling for flexible geoprocessing workflows

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