scholarly journals HELP - An Early warning dashboard System, built for the prevention, mitigation and assessment of disasters, with a flexible approach using open data and open source technologies

2016 ◽  
Author(s):  
Lorenzo Amato ◽  
Dimitri Dello Buono ◽  
Francesco Izzi ◽  
Giuseppe La Scaleia ◽  
Donato Maio
Keyword(s):  
Early Warning ◽  
Spatial Data ◽  
Emergency Preparedness ◽  
Risk Mitigation ◽  
Open Data ◽  
National Research Council ◽  
Civil Defense ◽  
Main Role ◽  
Cooperation Agreement ◽  
Data Infrastructure

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian and governmental response. In its essence it is an emergency preparedness web tool, which can be used for decision making for a better level of mitigation and response on any level.Risks or disasters are not events in our control, rather, they are situations to which we can better manage with a framework based on preparedness. The earlier and more precise the monitoring of hazards allow for faster response to manage and mitigate a disaster’s impact on a society, economy and environment.This is exactly what HELP offers, it plays a main role in the cycle of early warning and risk (Preparedness, Risk, Mitigation, and Resilience). It provides information in real time on events and hazards, allowing for the possibility to analyze the situation and find a solution whose outcome protects the most lives and has the least economic impact. As a tool it also provides the opportunity to respond to a hazard with resilience in mind, this means that not only does HELP prepare for and mitigate events, it can also be used to implement better organizational methods for future events, thus, minimizing overall risk. Providing people with the means to better be able to take care of themselves, lessening the effects of future hazards each and every time. HELP is a tool in a framework which was created to support governments in their efforts to protect their people, building their response efficiency and resilience. HELP (with the name of E.W.A.R.E. Early Warning and Awareness of Risks and Emergencies) was born as WFP (The World Food Program) and IMAA-CNR (Institute of Methodologies for Environmental Analysis of the National Research Council of Italy) entered into a Cooperation Agreement concerning the development of a Geo-Spatial Data Infrastructure System for the Palestinian Civil Defense with the aim of building an enhanced preparedness capacity in Palestine.HELP has a simple and flexible but very effective logic to perform the early warning: Watch to open data sources on risk themes (NASA satellite data, Weather Forecast, world wide seismic networks, etc); Apply (programmable) “intelligence” to detect critical situations, exceeding of thresholds, population potentially involved by events, etc; Highlight critical elements on the map; Send alerts to emergency managers.

scholarly journals HELP - An Early warning dashboard System, built for the prevention, mitigation and assessment of disasters, with a flexible approach using open data and open source technologies

2016 ◽  
Author(s):  
Lorenzo Amato ◽  
Dimitri Dello Buono ◽  
Francesco Izzi ◽  
Giuseppe La Scaleia ◽  
Donato Maio
Keyword(s):  
Early Warning ◽  
Spatial Data ◽  
Emergency Preparedness ◽  
Risk Mitigation ◽  
Open Data ◽  
National Research Council ◽  
Civil Defense ◽  
Main Role ◽  
Cooperation Agreement ◽  
Data Infrastructure

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian and governmental response. In its essence it is an emergency preparedness web tool, which can be used for decision making for a better level of mitigation and response on any level.Risks or disasters are not events in our control, rather, they are situations to which we can better manage with a framework based on preparedness. The earlier and more precise the monitoring of hazards allow for faster response to manage and mitigate a disaster’s impact on a society, economy and environment.This is exactly what HELP offers, it plays a main role in the cycle of early warning and risk (Preparedness, Risk, Mitigation, and Resilience). It provides information in real time on events and hazards, allowing for the possibility to analyze the situation and find a solution whose outcome protects the most lives and has the least economic impact. As a tool it also provides the opportunity to respond to a hazard with resilience in mind, this means that not only does HELP prepare for and mitigate events, it can also be used to implement better organizational methods for future events, thus, minimizing overall risk. Providing people with the means to better be able to take care of themselves, lessening the effects of future hazards each and every time. HELP is a tool in a framework which was created to support governments in their efforts to protect their people, building their response efficiency and resilience. HELP (with the name of E.W.A.R.E. Early Warning and Awareness of Risks and Emergencies) was born as WFP (The World Food Program) and IMAA-CNR (Institute of Methodologies for Environmental Analysis of the National Research Council of Italy) entered into a Cooperation Agreement concerning the development of a Geo-Spatial Data Infrastructure System for the Palestinian Civil Defense with the aim of building an enhanced preparedness capacity in Palestine.HELP has a simple and flexible but very effective logic to perform the early warning: Watch to open data sources on risk themes (NASA satellite data, Weather Forecast, world wide seismic networks, etc); Apply (programmable) “intelligence” to detect critical situations, exceeding of thresholds, population potentially involved by events, etc; Highlight critical elements on the map; Send alerts to emergency managers.

scholarly journals HELP - An Early warning dashboard System, built for the prevention, mitigation and assessment of disasters, with a flexible approach using open data and open source technologies

2016 ◽  
Author(s):  
Lorenzo Amato ◽  
Dimitri Dello Buono ◽  
Francesco Izzi ◽  
Giuseppe La Scaleia ◽  
Donato Maio
Keyword(s):  
Early Warning ◽  
Spatial Data ◽  
Emergency Preparedness ◽  
Risk Mitigation ◽  
Open Data ◽  
National Research Council ◽  
Civil Defense ◽  
Main Role ◽  
Cooperation Agreement ◽  
Data Infrastructure

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian and governmental response. In its essence it is an emergency preparedness web tool, which can be used for decision making for a better level of mitigation and response on any level.Risks or disasters are not events in our control, rather, they are situations to which we can better manage with a framework based on preparedness. The earlier and more precise the monitoring of hazards allow for faster response to manage and mitigate a disaster’s impact on a society, economy and environment.This is exactly what HELP offers, it plays a main role in the cycle of early warning and risk (Preparedness, Risk, Mitigation, and Resilience). It provides information in real time on events and hazards, allowing for the possibility to analyze the situation and find a solution whose outcome protects the most lives and has the least economic impact. As a tool it also provides the opportunity to respond to a hazard with resilience in mind, this means that not only does HELP prepare for and mitigate events, it can also be used to implement better organizational methods for future events, thus, minimizing overall risk. Providing people with the means to better be able to take care of themselves, lessening the effects of future hazards each and every time. HELP is a tool in a framework which was created to support governments in their efforts to protect their people, building their response efficiency and resilience. HELP (with the name of E.W.A.R.E. Early Warning and Awareness of Risks and Emergencies) was born as WFP (The World Food Program) and IMAA-CNR (Institute of Methodologies for Environmental Analysis of the National Research Council of Italy) entered into a Cooperation Agreement concerning the development of a Geo-Spatial Data Infrastructure System for the Palestinian Civil Defense with the aim of building an enhanced preparedness capacity in Palestine.HELP has a simple and flexible but very effective logic to perform the early warning: Watch to open data sources on risk themes (NASA satellite data, Weather Forecast, world wide seismic networks, etc); Apply (programmable) “intelligence” to detect critical situations, exceeding of thresholds, population potentially involved by events, etc; Highlight critical elements on the map; Send alerts to emergency managers.

scholarly journals USING PARTICIPATORY APPROACH TO IMPROVE AVAILABILITY OF SPATIAL DATA FOR LOCAL GOVERNMENT

2016 ◽  
Vol III-4/W1 ◽  
pp. 139-144
Author(s):  
T. Kliment ◽  
V. Cetl ◽  
H. Tomič ◽  
J. Lisiak ◽  
M. Kliment
Keyword(s):  
Spatial Data ◽  
Local Governments ◽  
Local Level ◽  
Property Tax ◽  
Open Data ◽  
Quality Level ◽  
Tax Rates ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Participatory Gis

Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representation of the properties and their owners are still missing in an appropriate quantity and quality level, even though this data represent fundamental input for local governments regarding the register of buildings used for property tax calculations, identification of illegal buildings, etc. We propose a methodology to improve this situation by applying the principles of participatory GIS and VGI used to collect observations, update authoritative datasets and verify the newly developed datasets of areas of buildings used to calculate property tax rates issued to their owners. The case study was performed within the district of the City of Požega in eastern Croatia in the summer 2015 and resulted in a total number of 16072 updated and newly identified objects made available online for quality verification by citizens using open source geospatial technologies.

scholarly journals Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)

2019 ◽  
Vol 11 (2) ◽  
pp. 515-527 ◽  
Author(s):  
Walter Brambilla ◽  
Alessandro Conforti ◽  
Simone Simeone ◽  
Paola Carrara ◽  
Simone Lanucara ◽  
...  
Keyword(s):  
Continental Shelf ◽  
Mediterranean Sea ◽  
Spatial Data ◽  
National Research Council ◽  
Western Mediterranean ◽  
Spatial Data Infrastructure ◽  
Depth Range ◽  
Data Set ◽  
Coastal System ◽  
Data Infrastructure

Abstract. The expected global sea level rise by the year 2100 will determine adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment, especially for urban beaches and sandy coasts with lowlands behind them. The objective of the work is to provide useful tools to support planning in the management of sand deposits located on the continental shelf of Western Sardinia (western Mediterranean Sea). The work has been realised through the integration of data and information collected during several projects. Available data consist of morpho-bathymetric data (multibeam) associated with morphoacoustic (backscatter) data, collected in the depth range −25 to −700 m. Extensive coverage of high-resolution seismic profiles (Chirp 3.5 kHz) has been acquired along the continental shelf. Also, surface sediment samples (Van Veen grab and box corer) and vibrocorers have been collected. These data allow mapping of the submerged sand deposits with the determination of their thickness and volume and their sedimentological characteristics. Furthermore, it is possible to map the seabed geomorphological features of the continental shelf of Western Sardinia. All the available data (https://doi.org/10.1594/PANGAEA.895430) have been integrated and organised in a geodatabase implemented through a GIS and the software suite Geoinformation Enabling ToolkIT StarterKit® (GET-IT), developed by researchers of the Italian National Research Council for RITMARE project. GET-IT facilitates the creation of distributed nodes of an interoperable spatial data infrastructure (SDI) and enables unskilled researchers from various scientific domains to create their own Open Geospatial Consortium (OGC) standard services for distributing geospatial data, observations and metadata of sensors and data sets. Data distribution through standard services follows the guidelines of the European Directive INSPIRE (DIRECTIVE 2007/2/EC); in particular, standard metadata describe each map level, containing identifiers such as data type, origin, property, quality, processing processes to foster data searching and quality assessment.

scholarly journals A Prototype Geospatial Knowledge Graph for National Topographic Mapping

2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Dalia E. Varanka
Keyword(s):  
Spatial Data ◽  
System Architecture ◽  
Open Data ◽  
Flat File ◽  
Data Infrastructure ◽  
Topographic Data ◽  
Body Of Knowledge ◽  
Data Formats ◽  
Abstract Knowledge ◽  
Data Semantics

Abstract. Knowledge graphs (KG) are a virtual layer connecting disparate databases into an interoperable framework. Though the application of KGs for enterprises are increasing, geospatial KG design is not common. This presentation describes U.S. Geological Survey (USGS) research to build KGs for integrating geospatial and non-spatial attribute semantics of topographic data. Those geographic information system databases are composed of various feature types and metadata attributes organized various themes and stored in different data formats, such as geodatabases, flat-file spreadsheets, and raster images. The system being created tests two research objectives: 1) the feasibility of semantic technology approaches for geospatial data within the context of national topographic data and 2) the contribution to building a body of knowledge about system architecture for geospatial ontologies and linked open data. This presentation discusses the context of topographic data semantics, the problem and aims of building the system, and the integrated KG framework. The basic workflow and operations of the system architecture consisting of open-source software are described. The architecture modifies existing software with unique solutions such as performing GeoSPAQL queries with Postgres, a relational table datastore, and a map interface with extensions to support linked data queries as browseable graphs. As public spatial data infrastructure, the system is made available as a Docker Container on GitHub.

scholarly journals A Database for Long-Term Atmosphere-Surface Transfer Monitoring in Salento Peninsula (Southern Italy)

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
P. Martano ◽  
C. Elefante ◽  
F. Grasso
Keyword(s):  
Spatial Data ◽  
National Research Council ◽  
Fast Response ◽  
Environmental Data ◽  
Eddy Correlation ◽  
Reference Structure ◽  
University Campus ◽  
Web Database ◽  
Active Sensors ◽  
Data Infrastructure

The micrometeorological base of ISAC-CNR in Lecce, southeast of Italy, has been active since 2002, in collecting experimental data about surface-atmosphere transfer of momentum heat and water vapour. It operates in a suburban site inside the Salento University campus and has been improved along the past years in terms of active sensors to give a quite complete description of the soil-atmosphere vertical transfer. It is composed by a 16 m mast with fast response (eddy correlation) instrumentation and an ancillary automatic meteorological station collecting also soil data at 2 levels of depth. Fast response data are preprocessed in half-hour averaged satistics and stored in a web database. At present, the Lecce database is also a pilot reference structure for the Climate Change Section of the CNR-DTA GIIDA project (Integrated and Interoperative Management of Environmental Data project, Earth and Environment Department, National Research Council), aimed to build a spatial data infrastructure between different CNR-DTA structures collecting environmental data. It is also a data provider for the Hymex project database (Hydrological Mediterranean Experiment).

scholarly journals The Role of Information Management for the Sustainable Conservation of Cultural Heritage

2021 ◽  
Vol 13 (8) ◽  
pp. 4325
Author(s):  
Jaione Korro Bañuelos ◽  
Álvaro Rodríguez Miranda ◽  
José Manuel Valle-Melón ◽  
Ainara Zornoza-Indart ◽  
Manuel Castellano-Román ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Information Management ◽  
Spatial Data ◽  
Open Data ◽  
Regional Government ◽  
Data Infrastructure ◽  
Preventive Conservation ◽  
Information Models ◽  
Wild Grapevine ◽  
Concept Of Information

Central to the entire discipline of heritage restoration and conservation is the concept of information management. Nevertheless, traditionally, conservation and restoration has been a poorly documented discipline, which has led not only to a lack of standardization and awareness about the processes carried out in the past, but also poses problems both when new restoration works are necessary and for the preventive conservation of the elements of heritage. This study sets out to propose a conceptual framework to explore the relationship between conservation of heritage and information management on the basis of case studies; in particular: a spatial data infrastructure (SDI) of a regional government concerning an endangered plant (wild grapevine) with an important potential for cultural and touristic uses in a wine-making region; an open data guide—the Digital Guide of Andalusian Cultural Heritage; a university repository connected to Europeana, which contains reports and outcomes of projects of geometric documentation of elements of heritage; a repository of an organization in charge of the protection and care of the heritage; and finally, two examples of the use of heritage building information models (HBIM) in complex monuments. After discussing the characteristics of each case, this paper concludes that, although the availability of information and tools is growing, further progress is still necessary concerning the interoperability, outreach and reuse of the different solutions.

scholarly journals The opendata geoportal of the Lamma Consortium

2016 ◽  
Author(s):  
Manuela Corongiu ◽  
Riccardo Mari ◽  
Raffaella Ferrari ◽  
Lorenzo Bottai ◽  
Valentina Grasso ◽  
...  
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Information Source ◽  
Open Data ◽  
Weather Forecast ◽  
Regional Government ◽  
Data Infrastructure ◽  
Creative Commons ◽  
Data Platform ◽  
Data Portal

The new Lamma Open Data platform (http://dati.lamma.toscana.it) allows data download related to information delivered / managed by the Consortium, encouraging the reuse both at technical and legal level. The datasets, over 220, belong to the weather forecast and geospatial topics above all, but they are in continuous updating, both spatial and no spatial (such as administrative documentation). Lamma open data platform integrates in a harmonised interface, most off the spatial dataset already available through the Lamma geoportal (http://geoportale.lamma.rete.toscana.it/MapStore/public/), now available for download as open data. The particularity of meteorological information is their organization in models, archives and formats according to the type of information, source of acquisition and level of elaboration. These formats are not all functional or directly manageable in their entirety, as data to be made available and immediately accessible. The datasets therefore require a preliminary phase of evaluation and analysis of the contents to identify the most appropriate elements for publication via filters and elaborations that maintain the significance of the variables to be highlighted. A synergic and integrated infrastructure for spatial data has been carried out through open source softwares. The LaMMA Geoportal integrates, in a single simple but powerful interface, the functionalities of research, display and download of the available data. This objective is to provide a ready-to-use tool for all users who do not intend to connect directly to the services offered or to download (and therefore reutilize) the data: in this case we relied on the software Open Source MapStore. The open data platform is directly connected to the Geonetwork metadata catalogue that in turn automatically provide a real-time ingestion of datasets in geoportal. The Lamma open data infrastructure has been implemented by the use of CKAN software. All the datasets are made available according to the CC-BY license - Attribution Creative Commons. That choice will allow an easier federation with Open Tuscany (http://dati.toscana.it/), the open data portal of Tuscany Regional Government that until now has hosted, as supplementary task, some Lamma Consortium datasets. The open data infrastructure has been implemented thanks to the Life+IMAGINE European contribution and with the support of the Geosolutions company.

scholarly journals Dataset of Submerged Sand Deposits organised in an interoperable Spatial Data Infrastructure (Western Sardinia, Mediterranean Sea)

2018 ◽  
Author(s):  
Walter Brambilla ◽  
Alessandro Conforti ◽  
Simone Simeone ◽  
Paola Carrara ◽  
Simone Lanucara ◽  
...  
Keyword(s):  
Continental Shelf ◽  
Mediterranean Sea ◽  
Spatial Data ◽  
National Research Council ◽  
Western Mediterranean ◽  
Spatial Data Infrastructure ◽  
Depth Range ◽  
Seismic Profiles ◽  
Coastal System ◽  
Data Infrastructure

Abstract. The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improving of mining technologies will favour an increased exploitation of sand deposits for nourishments, especially for urban beaches and sandy coasts with lowlands behind. Objective of the work is to provide useful tools to support planning actions in the management of sand deposits located in the continental shelf of western Sardinia (western Mediterranean Sea). The work has been realized through the integration of data and information collected during several projects. Available data consist of morpho-bathymetric data (multibeam) associated with morphoacoustic (backscatter) data, collected in the depth range −25 to −700 m. Extensive coverage of high-resolution seismic profiles (Chirp 3.5 kHz) have been acquired along the continental shelf. Also surface sediment samples (Van Veen grab and box corer) and vibrocores have been collected. These data allow mapping of the submerged sand deposits with the determination of their thickness and volumes, and their sedimentological characteristics. Furthermore, it is possible to map the seabed geomorphological features of the continental shelf of western Sardinia. All the available data (doi: https://doi.pangaea.de/10.1594/PANGAEA.895430) have been integrated and organized in a geodatabase implemented through a GIS and the software suite Geoinformation Enabling Toolkit StarterKit® (GET-IT), developed by researchers of the Italian National Research Council for RITMARE project. GET-IT facilitates the creation of distributed nodes of an interoperable Spatial Data Infrastructure (SDI) and enables unskilled researchers from various scientific domains to create their own Open Geospatial Consortium (OGC) standard services for distributing geospatial data, observations and metadata of sensors and datasets. Data distribution through standard services follows the guidelines of the European Directive INSPIRE (DIRECTIVE 2007/2/EC); in particular, standard metadata describe each map level, containing identifiers such as data type, origin, property, quality, processing processes to foster data searching and quality assessment.

scholarly journals USING PARTICIPATORY APPROACH TO IMPROVE AVAILABILITY OF SPATIAL DATA FOR LOCAL GOVERNMENT

2016 ◽  
Vol IV-4/W1 ◽  
pp. 139-144
Author(s):  
T. Kliment ◽  
V. Cetl ◽  
H. Tomič ◽  
J. Lisiak ◽  
M. Kliment
Keyword(s):  
Spatial Data ◽  
Local Governments ◽  
Local Level ◽  
Property Tax ◽  
Open Data ◽  
Quality Level ◽  
Tax Rates ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Participatory Gis

Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representation of the properties and their owners are still missing in an appropriate quantity and quality level, even though this data represent fundamental input for local governments regarding the register of buildings used for property tax calculations, identification of illegal buildings, etc. We propose a methodology to improve this situation by applying the principles of participatory GIS and VGI used to collect observations, update authoritative datasets and verify the newly developed datasets of areas of buildings used to calculate property tax rates issued to their owners. The case study was performed within the district of the City of Požega in eastern Croatia in the summer 2015 and resulted in a total number of 16072 updated and newly identified objects made available online for quality verification by citizens using open source geospatial technologies.

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