Documenting Spatial Data to LTER Network Standards

The LTER GIS Working Group of the IMC has developed a workflow of Best Practices for documenting spatial data. Creating valid EML metadata document will insure that site geo-spatial data is discoverable in searches of the Network Information System (NIS) and at local sites. This document is dynamic, and updates/suggestions can be made to the GIS Working Group.

File was updated February 2013 to include improvements in raster data with arcgis 10.1 (T Valentine)

File was updated in December 2012 to include information about potential problems with raster data.


• In-person: James Brunt, Yang Xia, Jason Downing, Margaret O’Brien, Don Henshaw
• Videoteleconference: Jamie Hollingsworth, Aaron Stephenson

Day 1: Thursday, April 5, 2012

0830: Introduction
• Agenda review (Don)
• Discuss goals / products for this meeting

a. Consider advantages of use and need for redesign of SiteDB
i. Common use and sharing of SiteDB
ii. Accommodation of discipline-specific metadata within the design

b. Consider use of SiteDB within the PASTA architecture
i. EML best practices for discipline-specific metadata

GIS Data Management

This section includes information on the following:
1. GIS Data Formats
2. Creating metadata for spatial data
3. Converting metadata to EML
4. Special considerations for archiving and publishing spatial datasets
5. Converting latitude and longitude files into data usable by GIS software and Google products.

    Lesson Plan
    Additional Resources


LTERMapS 2 brings the concept of LTERMapS to the site level. We area starting with 7 pilot sites, and Digital Elevation Models (DEM), watershed boundaries, and stream layers. We also are integrating with SiteDB and Clim/HydroDB. Several efforts are underway including building an ArcGIS Javascript API application for the viewer, and building a SDE database at the LNO. ArcGIS Server version 10 is our web server, and we are building an image server for the DEM's. The current effort is a proof of concept about integrating some baseline GIS data from several sites.

Digital Data Organization

Introduction Once data are acquired in the field or laboratory, they frequently will have to be hand entered or if acquired digitally organized in a way that they can be analyzed. Consideration for QA/QC are important at this step. Both, Excel and databases offer approaches to speed data entry and provide some control over data quality. Presentations

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