HEIMDALL: a H2020 project aimed at developing a multi-hazard Cooperative Management, Data Exchange, Response Planning and Scenario Building tool: the landslides case.

2021 ◽  
Author(s):  
Guido Luzi ◽  
José Antonio Navarro ◽  
Anna Barra ◽  
Oriol Monserrat ◽  
Michele Crosetto
Keyword(s):  
Data Exchange ◽  
Regional Scale ◽  
Information Access ◽  
Processing Technique ◽  
Added Value ◽  
Cooperative Management ◽  
Scenario Building ◽  
Active Deformation ◽  
Response Planning

<p>This contribution describes the objectives and the tasks carried out within HEIMDALL, a four-years European project (H2020), whose general aim was to assist the management of emergencies related to fires, flooding and land movements. In particular the authors focus on the tools developed in the case of the landslide’s scenario, using spaceborne and Ground Based radar interferometry. The core of the architecture of HEIMDALL is a system platform which collects data obtained through simulation, Earth Observation images and in-situ sensors measurements to provide updated information and support the activities of several actors involved in disaster management (preparedness, response, and recovery). A multi-hazard Cooperative Management, for Data Exchange, Response Planning and Scenario Building is the rationale of the final product. Concerning the landslides case, two products are integrated as external data sources. The first one is a map of the Active Deformation Areas (ADA) detected through the DInSAR processing technique, using a set of SAR images acquired every 6 days by the satellite Sentinel-1, this product allows the identification and characterization of potential landslides at a regional scale. The second one operates at a local scale; it includes deformation maps covering single slopes obtained through a Ground Based SAR system installed in-situ. This last tool is proposed to provide both continuous and discontinuous (periodical) monitoring for the assessment and updating of the scenario of risk (together with model based on meteorological parameters and simulations) and supporting the recovery phase. HEIMDALL guarantees an information access and sharing among the involved stakeholders, including the population and the first responders on the field. The possibility to integrate data coming from different techniques improves the real time understanding of the situation and, by using advanced multi-hazard methods, allows to develop realistic multi-disciplinary scenarios of risk, vulnerability assessment, information sharing and emergency response. The main added value of using the HEIMDALL service platform results in a valuable, direct, situation assessment which can strength the decision tools.</p>

scholarly journals GROUND-BASED & SPACEBORNE SAR INTERFEROMETRIC TECHNIQUES SUPPORTING THE MANAGEMENT OF EMERGENCIES IN THE HEIMDALL PROJECT

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1685-1690
Author(s):  
J. A. Navarro ◽  
G. Luzi ◽  
O. Monserrat ◽  
M. Crosetto
Keyword(s):  
Data Exchange ◽  
Large Area ◽  
Persistent Scatterer Interferometry ◽  
Sar Images ◽  
Scenario Building ◽  
Response Planning ◽  
Persistent Scatterer ◽  
Response And Recovery ◽  
Software And Hardware

Abstract. This paper describes the application of spaceborne and Ground Based radar interferometry as a tool for assisting the management of emergencies related to land movements. The support of the two techniques is carried out integrating some products, using tools available from a software and hardware architecture specifically developed within HEIMDALL, a H2020 project, devoted to providing a multi-hazard Cooperative Management, for Data Exchange, Response Planning and Scenario Building. Deformation maps obtained processing Sentinel-1 SAR images, updated every six days, can provide information over a large area, to be used during the preparedness and recovery phases. Data acquired through a Ground Based SAR system installed in-situ, provide a continuous and discontinuous (periodical) monitoring, aiming at supporting response and recovery phases. The products, in both cases, consist of deformation maps and temporal series, velocity of displacement, obtained through the application of Persistent Scatterer Interferometry (PSI).

scholarly journals The European Bioinformatics Institute in 2020: building a global infrastructure of interconnected data resources for the life sciences

2019 ◽  
Vol 48 (D1) ◽  
pp. D17-D23 ◽  
Author(s):  
Charles E Cook ◽  
Oana Stroe ◽  
Guy Cochrane ◽  
Ewan Birney ◽  
Rolf Apweiler
Keyword(s):  
Data Exchange ◽  
Life Sciences ◽  
Image Data ◽  
European Bioinformatics Institute ◽  
Added Value ◽  
Value Analysis ◽  
Starting Point ◽  
Core Mission ◽  
Training Team ◽  
Exchange Data

Abstract Data resources at the European Bioinformatics Institute (EMBL-EBI, https://www.ebi.ac.uk/) archive, organize and provide added-value analysis of research data produced around the world. This year's update for EMBL-EBI focuses on data exchanges among resources, both within the institute and with a wider global infrastructure. Within EMBL-EBI, data resources exchange data through a rich network of data flows mediated by automated systems. This network ensures that users are served with as much information as possible from any search and any starting point within EMBL-EBI’s websites. EMBL-EBI data resources also exchange data with hundreds of other data resources worldwide and collectively are a key component of a global infrastructure of interconnected life sciences data resources. We also describe the BioImage Archive, a deposition database for raw images derived from primary research that will supply data for future knowledgebases that will add value through curation of primary image data. We also report a new release of the PRIDE database with an improved technical infrastructure, a new API, a new webpage, and improved data exchange with UniProt and Expression Atlas. Training is a core mission of EMBL-EBI and in 2018 our training team served more users, both in-person and through web-based programmes, than ever before.

scholarly journals Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets

2019 ◽  
Vol 11 (14) ◽  
pp. 1675 ◽  
Author(s):  
Tomás ◽  
Pagán ◽  
Navarro ◽  
Cano ◽  
Pastor ◽  
...  
Keyword(s):  
Regional Scale ◽  
Central Italy ◽  
Geographical Information ◽  
External Information ◽  
Automatic Identification ◽  
Persistent Scatterer Interferometry ◽  
Active Deformation ◽  
Persistent Scatterers ◽  
Persistent Scatterer ◽  
Map Scale

This work describes a new procedure aimed to semi-automatically identify clusters of active persistent scatterers and preliminarily associate them with different potential types of deformational processes over wide areas. This procedure consists of three main modules: (i) ADAfinder, aimed at the detection of Active Deformation Areas (ADA) using Persistent Scatterer Interferometry (PSI) data; (ii) LOS2HV, focused on the decomposition of Line Of Sight (LOS) displacements from ascending and descending PSI datasets into vertical and east-west components; iii) ADAclassifier, that semi-automatically categorizes each ADA into potential deformational processes using the outputs derived from (i) and (ii), as well as ancillary external information. The proposed procedure enables infrastructures management authorities to identify, classify, monitor and categorize the most critical deformations measured by PSI techniques in order to provide the capacity for implementing prevention and mitigation actions over wide areas against geological threats. Zeri, Campiglia Marittima–Suvereto and Abbadia San Salvatore (Tuscany, central Italy) are used as case studies for illustrating the developed methodology. Three PSI datasets derived from the Sentinel-1 constellation have been used, jointly with the geological map of Italy (scale 1:50,000), the updated Italian landslide and land subsidence maps (scale 1:25,000), a 25 m grid Digital Elevation Model, and a cadastral vector map (scale 1:5,000). The application to these cases of the proposed workflow demonstrates its capability to quickly process wide areas in very short times and a high compatibility with Geographical Information System (GIS) environments for data visualization and representation. The derived products are of key interest for infrastructures and land management as well as decision-making at a regional scale.

scholarly journals Integrated product ontologies for inter-organizational networks

2009 ◽  
Vol 6 (2) ◽  
pp. 29-46 ◽  
Author(s):  
Milan Zdravkovic ◽  
Miroslav Trajanovic
Keyword(s):  
Information Acquisition ◽  
Data Exchange ◽  
Product Information ◽  
Added Value ◽  
Organizational Networks ◽  
Dimensional Model ◽  
Design Intent ◽  
Functional Perspective ◽  
Property Transfer ◽  
Semantic Alignment

Purpose of this paper is to propose approach and technical infrastructure for improvement of inter-organizational networks' response in product information acquisition and management. Different approaches (industrial categorization schemes, functional decomposition and semantic web) for management of product information are analyzed in context of inter-organizational networks. Process for semantic alignment of product information is defined, resulting with generalized, two-dimensional model, consisting of design and functional perspective. The process is expected to decrease human intervention in product data exchange in networked environments, as well as to create added value, through possible recognition of design intent, automated referencing to related manufacturing competences and reuse potential. Current prototype of system comprises of product ontologies and interfaces for topological model submission and refinement by using lexical term and predicate matching and property transfer. Impact of using formalized functional perspective is only theoretically justified and it still needs to be verified.

scholarly journals Comparison of in situ and columnar aerosol spectral measurements during TexAQS-GoMACCS 2006: testing parameterizations for estimating aerosol fine mode properties

2009 ◽  
Vol 9 (4) ◽  
pp. 17465-17494
Author(s):  
D. B. Atkinson ◽  
P. Massoli ◽  
N. T. O'Neill ◽  
P. K. Quinn ◽  
S. Brooks ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Atmospheric Aerosols ◽  
Regional Scale ◽  
Atmospheric Composition ◽  
Light Extinction ◽  
Large Area ◽  
Light Extinction Coefficient ◽  
Spectral Models ◽  
Fine Mode

Abstract. During the 2006 Texas Air Quality Study and Gulf of Mexico Atmospheric Composition and Climate Study (TexAQS-GoMACCS 2006), the optical, chemical and microphysical properties of atmospheric aerosols were measured on multiple mobile platforms and at ground based stations. In situ measurements of the aerosol light extinction coefficient (σep) were performed by two multi-wavelength cavity ring-down (CRD) instruments, one located on board the NOAA R/V Ronald H. Brown (RHB) and the other located at the University of Houston, Moody Tower (UHMT). An AERONET sunphotometer was also located at the UHMT to measure the columnar aerosol optical depth (AOD). The σep data were used to extract the extinction Ångström exponent (åep), a measure of the wavelength dependence of σep. There was general agreement between the åep (and to a lesser degree σep measurements by the two spatially separated CRD instruments during multi-day periods, suggesting a regional scale consistency of the sampled aerosols. Two spectral models are applied to the σep and AOD data to extract the fine mode fraction of extinction (η) and the fine mode effective radius (Reff f). These two parameters are robust measures of the fine mode contribution to total extinction and the fine mode size distribution respectively. The results of the analysis are compared to Reff f values extracted using AERONET V2 retrievals and calculated from in situ particle size measurements on the RHB and at UHMT. During a time period when fine mode aerosols dominated the extinction over a large area extending from Houston/Galveston Bay and out into the Gulf of Mexico, the various methods for obtaining Reff f agree qualitatively (showing the same temporal trend) and quantitatively (pooled standard deviation=28 nm).

scholarly journals Use of Global Reanalysis Data in the Study of the Aridity Index in the Magdalena-Cauca Macro-Basin, Colombia

10.29007/92l9 ◽  
2018 ◽  
Author(s):  
Carolina Vega-Viviescas ◽  
David A. Zamora ◽  
Erasmo A. Rodríguez
Keyword(s):  
Southern Oscillation ◽  
Pearson Correlation ◽  
Regional Scale ◽  
Correlation Coefficients ◽  
Aridity Index ◽  
Remote Sensing Data ◽  
Reanalysis Data ◽  
In Situ Data ◽  
Global Reanalysis

The Magdalena-Cauca macro-basin (MCMB) in Colombia, by its tropical location, annually experiences the effects of movement of the Intertropical Convergence Zone, and it is highly affected by interannual macro-climatic phenomena, such as El Niño– Southern Oscillation (ENSO). With the aim of increasing the use of global reanalysis and remote sensing data for supporting water management decisions at the watershed scale and within the framework of the eartH2Observe research project, the aridity index (AI) was calculated with three different data sources. Precipitation products and AI results were compared with their corresponding in-situ national official data. The comparison shows high correlations between the AI derived from observed data and AI obtained from the reanalysis, with Pearson correlation coefficients above 0.8 for two of the products investigated. This shows the importance of using global reanalysis data in water availability studies on a regional scale for the MCMB and the potential of this information in others macrobasins in Colombia including the Orinoquia and Amazon regions, where in-situ data is scarce.

scholarly journals Multiscale observations of NH<sub>3</sub> around Toronto, Canada

2021 ◽  
Vol 14 (2) ◽  
pp. 905-921
Author(s):  
Shoma Yamanouchi ◽  
Camille Viatte ◽  
Kimberly Strong ◽  
Erik Lutsch ◽  
Dylan B. A. Jones ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Grid Point ◽  
Regional Scale ◽  
Model Performance ◽  
In Situ Measurements ◽  
Coefficient Of Determination ◽  
Spatial And Temporal Variability ◽  
Predictive Capacity ◽  
Total Column

Abstract. Ammonia (NH3) is a major source of nitrates in the atmosphere and a major source of fine particulate matter. As such, there have been increasing efforts to measure the atmospheric abundance of NH3 and its spatial and temporal variability. In this study, long-term measurements of NH3 derived from multiscale datasets are examined. These NH3 datasets include 16 years of total column measurements using Fourier transform infrared (FTIR) spectroscopy, 3 years of surface in situ measurements, and 10 years of total column measurements from the Infrared Atmospheric Sounding Interferometer (IASI). The datasets were used to quantify NH3 temporal variability over Toronto, Canada. The multiscale datasets were also compared to assess the representativeness of the FTIR measurements. All three time series showed positive trends in NH3 over Toronto: 3.34 ± 0.89 %/yr from 2002 to 2018 in the FTIR columns, 8.88 ± 5.08 %/yr from 2013 to 2017 in the surface in situ data, and 8.38 ± 1.54 %/yr from 2008 to 2018 in the IASI columns. To assess the representative scale of the FTIR NH3 columns, correlations between the datasets were examined. The best correlation between FTIR and IASI was obtained with coincidence criteria of ≤25 km and ≤20 min, with r=0.73 and a slope of 1.14 ± 0.06. Additionally, FTIR column and in situ measurements were standardized and correlated. Comparison of 24 d averages and monthly averages resulted in correlation coefficients of r=0.72 and r=0.75, respectively, although correlation without averaging to reduce high-frequency variability led to a poorer correlation, with r=0.39. The GEOS-Chem model, run at 2∘ × 2.5∘ resolution, was compared to FTIR and IASI to assess model performance and investigate the correlation of observational data and model output, both with local column measurements (FTIR) and measurements on a regional scale (IASI). Comparisons on a regional scale (a domain spanning 35 to 53∘ N and 93.75 to 63.75∘ W) resulted in r=0.57 and thus a coefficient of determination, which is indicative of the predictive capacity of the model, of r2=0.33, but comparing a single model grid point against the FTIR resulted in a poorer correlation, with r2=0.13, indicating that a finer spatial resolution is needed for modeling NH3.

scholarly journals Atmospheric CO<sub>2</sub> modeling at the regional scale: an intercomparison of 5 meso-scale atmospheric models

2007 ◽  
Vol 4 (3) ◽  
pp. 1923-1952 ◽  
Author(s):  
C. Sarrat ◽  
J. Noilhan ◽  
A. J. Dolman ◽  
C. Gerbig ◽  
R. Ahmadov ◽  
...  
Keyword(s):  
Regional Scale ◽  
Potential Temperature ◽  
Surface Fluxes ◽  
Systematic Evaluation ◽  
Atmospheric Models ◽  
Experimental Protocol ◽  
Intercomparison Exercise ◽  
Meteorological Models ◽  
Meso Scale

Abstract. Atmospheric CO2 modeling in interaction with the surface fluxes, at the regional scale is developed within the frame of the European project CarboEurope-IP and its Regional Experiment component. In this context, five meso-scale meteorological models participate in an intercomparison exercise. Using a common experimental protocol that imposes a large number of rules, two days of the CarboEurope Regional Experiment Strategy (CERES) campaign are simulated. A systematic evaluation of the models is done in confrontation with the observations, using statistical tools and direct comparisons. Thus, temperature and relative humidity at 2 m, wind direction, surface energy and CO2 fluxes, vertical profiles of potential temperature as well as in-situ CO2 concentrations comparisons between observations and simulations are examined. This intercomparison exercise shows also the models ability to represent the meteorology and carbon cycling at the synoptic and regional scale in the boundary layer, but also points out some of the major shortcomings of the models.

scholarly journals Linking gold mineralization to regional-scale drivers of mineral systems using in situ U–Pb geochronology and pyrite LA-ICP-MS element mapping

2019 ◽  
Vol 10 (1) ◽  
pp. 89-105 ◽  
Author(s):  
Imogen O.H. Fielding ◽  
Simon P. Johnson ◽  
Sebastien Meffre ◽  
Jianwei Zi ◽  
Stephen Sheppard ◽  
...  
Keyword(s):  
Gold Mineralization ◽  
Regional Scale ◽  
Icp Ms ◽  
Element Mapping
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