Managing data from multiple disciplines, scales, and sites to support synthesis and modeling

Remote Sensing of Environment
By: , and 

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Abstract

The synthesis and modeling of ecological processes at multiple spatial and temporal scales involves bringing together and sharing data from numerous sources. This article describes a data and information system model that facilitates assembling, managing, and sharing diverse data from multiple disciplines, scales, and sites to support integrated ecological studies. Cross-site scientific-domain working groups coordinate the development of data associated with their particular scientific working group, including decisions about data requirements, data to be compiled, data formats, derived data products, and schedules across the sites. The Web-based data and information system consists of nodes for each working group plus a central node that provides data access, project information, data query, and other functionality. The approach incorporates scientists and computer experts in the working groups and provides incentives for individuals to submit documented data to the data and information system.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Managing data from multiple disciplines, scales, and sites to support synthesis and modeling
Series title Remote Sensing of Environment
DOI 10.1016/S0034-4257(99)00060-7
Volume 70
Issue 1
Year Published 1999
Language English
Publisher Elsevier
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 9 p.
First page 99
Last page 107