Remote Sensing and Climate Modeling: Synergies and Limitations
1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled ỚSSatellite Remote Sensing and Climate Simulations: Synerg...
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Other Authors: | , |
Format: | Electronic |
Language: | English |
Published: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2001.
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Series: | Advances in Global Change Research,
7 |
Subjects: | |
Online Access: | View fulltext via EzAccess |
Table of Contents:
- A global vegetation index for SeaWiFS: Design and applications
- Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments
- Exploitation of Surface Albedo Derived From the Meteosat Data to Characterize Land Surface Changes
- Towards a Climatology of Australian Land Surface Albedo for use in Climate Models
- Collocated surface and satellite observations as constraints for Earth radiation budget simulations with global climate models
- How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics?
- Remote Sensing of Snow and Characterization of Snow Albedo for Climate Simulations
- Using the Special Sensor Microwave Imager to Monitor Surface Wetness and Temperature
- Snow Cover Fraction In A General Circulation Model
- Boreal Forest Fire Regimes And Climate Change
- Specification of surface characteristics for use in a high resolution regional climate model: on the role of glaciers in the swiss alps
- Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate
- The Use of Remotely-Sensed Data for the Estimation of Energy Balance Components in a Mountainous Catchment Area
- Integration of operationally available remote sensing and synoptic data for surface energy balance modelling and environmental applications on the regional scale.