3 to 7 November 2008, Finnish Environment Institute SYKE, Helsinki (Finland)

Objective

Remote sensing offers key tools for earth and environment observation as well as assessments of effects caused by climate change or global change processes related to urbanisation, migra­tions, or land-use change. It is needed in all environmental disci­plines.

Remote sensing is a methodology for data collection, analysis and the parameterization of environmental models. Note that remote sensing is much more than just collecting and analysing satellite data. It requires profound inter­disci­plinary knowledge to be able to interpret the data received and make it operational, e.g. for the use in Geographical Information Systems.

The present course addresses remote sensing in relation to processes and models of the hydrosphere. This area require different methodological approaches and will be beneficial to different applications and PhD theses.

Course Material

Below you can find the presentations (pdf-files) given at the METIER Training Course "Remote Sensing of the Hydrosphere" (Helsinki, 3-7 November 2008).

General Introduction
   Overall Course Programme

Remote Sensing, General & Data Handling
   Welcome (Tattari)
   Remote Sensing of Soil Moisture (Wagner)
   EO Operational Data Provision (Pyhälahti)

Water Quality
   Remote Sensing, GIS and Water Quality (Peters)
   Development and Use of Water Processors Available in BEAM (Koponen)
   New Measurement Technology in the Lake Säkylä Pyhäjärvi area (Huttula)

Hydrological & Nutrient Leaching Modelling
   An Operational Large Scale Hydrological Model (Vehviläinen)
   Assimilation of Satellite Based Snow Etc. Information into Hydrological Models (Metsämäki, Huttunen)
   How GIS is Used in Nutrient Leaching Models, Part I (Wade)
   How GIS is Used in Nutrient Leaching Models, Part II (Wade)

The Value of GIS Data for Society
   Examples from Urban Planning (Haase)
   Oil Response and Pollution Monitoring (Tahvonen)

Assimilation of Remote Sensing and Environmental Models
   Theory of Data Assimilation and Inversion (Pulliainen)