Course No. 2: Information Management in Environmental Sciences
19 to 24 February 2007, Montpellier (France)
Objective
Information management in environmental sciences represents an essential but still underdeveloped prerequisite for modern environmental research dealing with the increasing amount of data. Information management does not refer only to putting data into a data bank. Data and information, no matter whether derived from remote sensing, field or statistical sources, should be managed in a way that scientists from different research areas are able to use and assess these data. Such a data and information management requires specific information technologies and skills. Identifying and assessing the really important data based on a broad data set is a main challenge. The other major need is to prepare the data in a way that it can be easily used by the different methodological approaches, researchers from different disciplines as well as by clients who are not experts in the respective research field.
Course Material
Below you can find the presentations (pdf-files) given at the METIER Training Course "Information Management in Environmental Sciences" (Montpellier, 19-24 September 2006).
The Overall Programme
Overall programme
Geographic and Environmental Data in the Scientific Field
EIS at the Global Scale I (A. Nelson)
EIS at the Global Scale II (A. Nelson)
EIS at the European Scale (Ph. Crouzet)
EIS at the National Scale (M. Deshayes)
Geographical Databases and Conceptual Modelling
Database Conceptual Modelling (Th. Libourel)
Practical Work (Th. Libourel)
Acquisition and Processing of Geographic and Environmental Data
Scale Changes (Ch. Puech)
Practical Work (Ch. Puech)
Practical Work (JP Chery)
Management and Dissemination of Geographic and Environmental Data
Standards and Norms for Interoperability I (A. Annoni)
Standards and Norms for Interoperability II (A. Annoni)
Sharing Environmental Data (A. Doucet)
Data Cataloguing (JC Desconnets)
Practical Work (JC Desconnets)
Scientific Issues
EIS for Environmental Modelling (H. Pundt)
Optional Updating Sessions
GIS Basic Concepts & Methods (P. Bazile)
Data Georeferencing & Projection Systems (S. Labbe)
Introduction to Spatial Analysis (P. Maurel)
Practical Work (ArcView)




