TEODOOR: a distributed geodata infrastructure for terrestrial observation data

Within the TERENO initiative, four terrestrial observatories, collecting huge amounts of environmental data, are being set up since 2008. To manage, describe, exchange and publish these data, the distributed Spatial Data Infrastructure TEODOOR (http://www.tereno.net) was created. Each institution responsible for an individual observatory sets up its own local data infrastructure, which may communicate with each other to exchange data and metadata internally or to the public by OGC compliant Web services. The TEODOOR data portal serves as a database node to provide scientists and decision makers with reliable and well-accessible data and data products. Various tools like hierarchical search or Web-GIS functions allow a deeper insight into the different observatories, test sites and sensor networks. Sensor data can be queried and selected for measured parameters, stations and/or time periods, and can be visualized and downloaded according to a shared TERENO data policy. Currently, TEODOOR provides free access to data from more than 500 monitoring stations.

[1]  Yeshajahu Pomeranz,et al.  12 – Information and Documentation , 1985 .

[2]  Hans Peter Schmid,et al.  A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements , 2013 .

[3]  Thomas Kalbacher,et al.  Visual data exploration for hydrological analysis , 2012, Environmental Earth Sciences.

[4]  T. Burt,et al.  Importance of long-term monitoring for detecting environmental change: lessons from a lowland river in south east England , 2008 .

[5]  Jeffery S. Horsburgh,et al.  Introducing the Open Source CUAHSI Hydrologic Information System Desktop Application (HIS Desktop) , 2009 .

[6]  Roger Frost,et al.  International Organization for Standardization (ISO) , 2004 .

[7]  Liping Di,et al.  Use of ebRIM-based CSW with sensor observation services for registry and discovery of remote-sensing observations , 2009, Comput. Geosci..

[8]  Anthony Tomasic,et al.  Improving access to environmental data using context information , 1997, SGMD.

[9]  Falko Theisselmann,et al.  Service-oriented Architecture for Environmental Modelling - The Case of a Distributed Dike Breach Information System , 2009 .

[10]  Henry Lin,et al.  Earth's Critical Zone and hydropedology: concepts, characteristics, and advances , 2009 .

[11]  Douglas D. Nebert.  Spatial Data Infrastructure Concepts and Components [presentation] , 2009 .

[12]  D. Richter,et al.  Monitoring Earth's Critical Zone , 2009, Science.

[13]  John Davidson,et al.  Ogc® sensor web enablement:overview and high level achhitecture. , 2007, 2007 IEEE Autotestcon.

[14]  Olaf Kolditz,et al.  Groundwater deterioration in Nankou—a suburban area of Beijing: data assessment and remediation scenarios , 2012, Environmental Earth Sciences.

[15]  Olaf Kolditz,et al.  Numerical analysis of the groundwater regime in the western Dead Sea escarpment, Israel + West Bank , 2013, Environmental Earth Sciences.

[16]  M. Zoback.  GRAND CHALLENGES IN EARTH AND ENVIRONMENTAL SCIENCE , 2010 .

[17]  S. Attinger,et al.  Catchments as reactors: a comprehensive approach for water fluxes and solute turnover , 2013, Environmental Earth Sciences.

[18]  Daniel Nüst,et al.  Semantically-Enabled Sensor Plug & Play for the Sensor Web , 2011, Sensors.

[19]  Jeffery S. Horsburgh,et al.  A relational model for environmental and water resources data , 2008 .

[20]  William W. Hargrove,et al.  A continental strategy for the National Ecological Observatory Network , 2008 .

[21]  Charles N Haas,et al.  The WATERS Network: an integrated environmental observatory network for water research. , 2007, Environmental science & technology.

[22]  H. Vereecken,et al.  Towards a network of observatories in terrestrial environmental research , 2006 .

[23]  A. A. Pollicini.  A Strategy For Quality , 1970 .

[24]  Ralf Kunkel,et al.  Konzeption und Implementierung eines OGC-konformen Sensor Observation Service für den standardisierten Zugriff auf Rasterzeitreihendaten , 2013 .

[25]  John A. Kunze,et al.  The Dublin Core Metadata Element Set , 2007, RFC.

[26]  Carmen J. Nappo,et al.  Observations and Measurements of Gravity Waves , 2012 .

[27]  E. Nisbet.  Earth monitoring: Cinderella science , 2007, Nature.

[28]  Henry Lin,et al.  Hydropedology: Bridging Disciplines, Scales, and Data , 2003 .

[29]  Javier Nogueras-Iso,et al.  OGC Catalog Services: a key element for the development of Spatial Data Infrastructures , 2005, Comput. Geosci..

[30]  W. Reid,et al.  Earth System Research Priorities , 2009, Science.

[31]  Olaf Kolditz,et al.  Recharge and discharge controls on groundwater travel times and flow paths to production wells for the Ammer catchment in southwestern Germany , 2013, Environmental Earth Sciences.

[32]  Special I Ssue,et al.  OpenGeoSys: an open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous media , 2012 .

[33]  Jeffery S. Horsburgh,et al.  Development of a Community Hydrologic Information System , 2009 .

[34]  Christoph Stasch,et al.  Discovery Mechanisms for the Sensor Web , 2009, Sensors.

[35]  William K. Michener,et al.  NONGEOSPATIAL METADATA FOR THE ECOLOGICAL SCIENCES , 1997 .

[36]  David J. DeWitt,et al.  Scientific data management in the coming decade , 2005, SGMD.

[37]  Christoph Stasch,et al.  New Generation Sensor Web Enablement , 2011, Sensors.

[38]  Arne Bröring,et al.  A Lightweight Approach for the Sensor Observation Service to Share Environmental Data across Europe , 2012, Trans. GIS.

[39]  Rajendra Bose.  A conceptual framework for composing and managing scientific data lineage , 2002, Proceedings 14th International Conference on Scientific and Statistical Database Management.

[40]  Jeffery S. Horsburgh,et al.  HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis , 2012, Environ. Model. Softw..

[41]  Irena Hajnsek,et al.  A Network of Terrestrial Environmental Observatories in Germany , 2011 .

[42]  Doris Dransch,et al.  Assessing the quality of geoscientific simulation models with visual analytics methods – a design study , 2010, Int. J. Geogr. Inf. Sci..

[43]  Terry Parr,et al.  Detecting environmental change: science and society , 2003 .

[44]  Karsten Rink,et al.  A data exploration framework for validation and setup of hydrological models , 2013, Environmental Earth Sciences.

[45]  Richard P. Hooper,et al.  Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology , 2007 .