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Geospatial Data Management for Ecological Research Organizations. Theresa Valentine, Adam Skibbe , and Jamie Hollingsworth, LTER Network.
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Geospatial Data Management for Ecological Research Organizations Theresa Valentine, Adam Skibbe, and Jamie Hollingsworth, LTER Network
Challenges and opportunities that information managers encounter with the increase in demand and in volume of geospatial data and integrating this data with research data collected as part of field studies. • providing access and analysis tools for large LiDAR datasets • documenting geospatial data within FGDC and EML metadata content standards, • developing and managing Citizen Scientist data, • strategies to obtain study site locations and use these locations to provide geographic searches using mapping tools.
Challenges: • providing access and analysis tools for large LiDAR datasets • Documentation for spatial data into EML • Dealing with ocean data • Managing data (limnologists, not thinking spatially.. Get them thinking about it) • Juggling the different responsibilities, handle all the different data types • Integrating with other datasets (study site) • Looking for a version control system and serving up data • Annual over flight photos, geo-referenced, stitched together (20 years of annual flights) • Provide better access to data • Uses web services to provide infrastructure for spatial data • Manage in database/then interact with it spatially • 15 years of historical aerial photos, geo-referenced, organized • Storage capacity growth, double every year. (raster data), finding info out of all that data • Climate integration, research plot locations • Collection of geodabases, (3) how to integrate and synthesis. Adding points to spatial data. • Geo-reference the non-spatial data, have GIS expert, but not EML expert for database. • Working with DEM’s, tools to help visualization in 3D, produce animations.
Data Management: • File formats/hardware/software: • Geodatabase • 1. Web servers: Geojason/jason (australia), postGIS spatial database, point data with Cassandra, point data in huge table, very fast: EML at collection level, goes into geo-network, metadata system. • 2. postGIS: call geoserver, exported into whatever type you want, exported on the fly (zip files): • 3. Arcsdeon SQL2008, database connections, moving toward ARCGIS server, web services: • Automated methods for converting data from different projections/formats…? • need some tools, how to make the export of data automated so we don’t have to store shape files, etc. • Rule set for point data, other data manual; lots of steps • Open Source: very large community to get address issues. • Moved SDE to PostGIS, version behind (postGIS)… • free and open source software foss4G (gathering of open source GIS people) • Geoserver for webserver, openlayers for application, use in any client (will talk to the geoserver). ESRI web server with open source applications? Some success.
Backups: SQL dump, offsite storage, don’t back up non-changing data. Non-data: processing speed, convenience, prefer to go to the source, managing downloads on your site (duplicate data), too much data/inefficient storage? 3D software: ArcScene, 3D Architect, fusion, gaming software, others…
Summary 17 people attended and signed in. Develop Wiki to share information. Lots of interest in Open Source GIS solutions. Area of interest could be in developing methods to export/serve data without having to store static files (shape files)