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Remote Sensing and Climate Modeling: Synergies and Limitations

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Cover of 'Remote Sensing and Climate Modeling: Synergies and Limitations'

Table of Contents

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    Book Overview
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    Chapter 1 A global vegetation index for SeaWiFS: Design and applications
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    Chapter 2 Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments
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    Chapter 3 Exploitation of Surface Albedo Derived From the Meteosat Data to Characterize Land Surface Changes
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    Chapter 4 Towards a Climatology of Australian Land Surface Albedo for use in Climate Models
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    Chapter 5 Collocated surface and satellite observations as constraints for Earth radiation budget simulations with global climate models
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    Chapter 6 How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics?
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    Chapter 7 Remote Sensing of Snow and Characterization of Snow Albedo for Climate Simulations
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    Chapter 8 Using the Special Sensor Microwave Imager to Monitor Surface Wetness and Temperature
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    Chapter 9 Snow Cover Fraction In A General Circulation Model
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    Chapter 10 Boreal Forest Fire Regimes And Climate Change
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    Chapter 11 Specification of surface characteristics for use in a high resolution regional climate model: on the role of glaciers in the swiss alps
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    Chapter 12 Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate
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    Chapter 13 The Use of Remotely-Sensed Data for the Estimation of Energy Balance Components in a Mountainous Catchment Area
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    Chapter 14 Integration of operationally available remote sensing and synoptic data for surface energy balance modelling and environmental applications on the regional scale
Attention for Chapter 2: Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments
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Chapter title
Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments
Chapter number 2
Book title
Remote Sensing and Climate Modeling: Synergies and Limitations
Published by
Springer, Dordrecht, January 2001
DOI 10.1007/0-306-48149-9_2
Book ISBNs
978-9-04-815648-1, 978-0-306-48149-9
Authors

Li Jia, Massimo Menenti, Zhongbo Su, Zhao-Liang Li, Vera Djepa, Jiemin Wang, Jia, Li, Menenti, Massimo, Su, Zhongbo, Li, Zhao-Liang, Djepa, Vera, Wang, Jiemin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor > Associate Professor 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Unknown 2 29%
Readers by discipline Count As %
Environmental Science 2 29%
Agricultural and Biological Sciences 1 14%
Physics and Astronomy 1 14%
Unknown 3 43%