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Other Civil and Environmental Engineering

Data management

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Full-Text Articles in Computer Engineering

A Centralized Management System For Raster Data, Felix Linde, Ralf Wieland, Karin Groth Jul 2016

A Centralized Management System For Raster Data, Felix Linde, Ralf Wieland, Karin Groth

International Congress on Environmental Modelling and Software

We present a concept for a system to manage and distribute geo-referenced raster data from multiple possible sources on the institute level. The core concept is to centralize all import routines for data from different sources and formats, store the information in a common data format and distribute the needed information for research purposes upon request. By using hdf5 files, it can be assured that geo-spatial data is always kept in close connection with the corresponding meta-data. Furthermore this approach builds a technical basis for enhancing data fusion methods by allowing the use of common analysis routines, regardless of the ...


A Scientific Data Management Infrastructure For Environmental Monitoring And Modelling, Daniel Henzen, Matthias Mueller, Simon Jirka, Ivo Senner, Thomas Kaeseberg, Jin Zhang, Lars Bernard, Peter Krebs Jul 2016

A Scientific Data Management Infrastructure For Environmental Monitoring And Modelling, Daniel Henzen, Matthias Mueller, Simon Jirka, Ivo Senner, Thomas Kaeseberg, Jin Zhang, Lars Bernard, Peter Krebs

International Congress on Environmental Modelling and Software

Environmental projects often require the collaboration of researchers from different disciplines or domains in an interoperable context. With regard to data handling, most of these projects have an analogous workflow: phenomena are monitored, observation data are captured, (pre-) processed, exchanged, published, and finally disseminated among other scientists, practitioners and stakeholders. In many cases, each of the project partners implements these workflows separately and the integration of the distributed data sets happen in later project stages. In this paper, we present building blocks for research data infrastructure which covers the complete project cycle and supports data integration right from the beginning ...


Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder Jun 2014

Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder

International Congress on Environmental Modelling and Software

Hydrology researchers are collecting data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that require infrastructure for data storage, management, and sharing. Managing streaming sensor data is challenging, especially in large networks with large numbers of sites and sensors. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data product. It also depends on the ability of researchers to share and access the data in usable formats. In this paper ...


Web Service And Plug-In Architecture For Flexibility And Openness Of Environmental Data Sharing Platforms, Stephen Knox, Philipp Meier, Julien Harou Jun 2014

Web Service And Plug-In Architecture For Flexibility And Openness Of Environmental Data Sharing Platforms, Stephen Knox, Philipp Meier, Julien Harou

International Congress on Environmental Modelling and Software

The sharing, comparison and maintenance of computer model input and result data for real-world projects is a challenge. In collaborative research projects, particularly when collaboration occurs between multiple institutions in different locations, the complications are greater still. The co-development of water resource network simulation and optimization models is one field that faces this challenge. There is a need for ways to allow multiple users to build and apply models collaboratively. This paper argues that a web service architecture is an appropriate approach for multi-institution maintenance of resource network models. We describe the design of a prototype system that allows developers ...