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Remote Sensing and Water Resources

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Cover of 'Remote Sensing and Water Resources'

Table of Contents

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    Book Overview
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    Chapter 1 Foreword: International Space Science Institute (ISSI) Workshop on Remote Sensing and Water Resources
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    Chapter 2 Modelling Freshwater Resources at the Global Scale: Challenges and Prospects
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    Chapter 3 On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France
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    Chapter 4 On Creating Global Gridded Terrestrial Water Budget Estimates from Satellite Remote Sensing
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    Chapter 5 Lake Volume Monitoring from Space
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    Chapter 6 The SWOT Mission and Its Capabilities for Land Hydrology
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    Chapter 7 Toward a High-Resolution Monitoring of Continental Surface Water Extent and Dynamics, at Global Scale: from GIEMS (Global Inundation Extent from Multi-Satellites) to SWOT (Surface Water Ocean Topography)
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    Chapter 8 Assessing Global Water Storage Variability from GRACE: Trends, Seasonal Cycle, Subseasonal Anomalies and Extremes
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    Chapter 9 Groundwater Storage Changes: Present Status from GRACE Observations
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    Chapter 10 Modeling Groundwater Depletion at Regional and Global Scales: Present State and Future Prospects
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    Chapter 11 What Can be Expected from the GRACE-FO Laser Ranging Interferometer for Earth Science Applications?
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    Chapter 12 Subsurface Hydrology of the Lake Chad Basin from Convection Modelling and Observations
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    Chapter 13 Water and Food in the Twenty-First Century
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Title
Remote Sensing and Water Resources
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-32449-4
ISBNs
978-3-31-932448-7, 978-3-31-932449-4
Editors

A. Cazenave, N. Champollion, J. Benveniste, J. Chen

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 23%
Student > Ph. D. Student 16 19%
Researcher 13 16%
Student > Bachelor 6 7%
Professor > Associate Professor 4 5%
Other 15 18%
Unknown 10 12%
Readers by discipline Count As %
Earth and Planetary Sciences 19 23%
Engineering 18 22%
Environmental Science 15 18%
Agricultural and Biological Sciences 9 11%
Economics, Econometrics and Finance 2 2%
Other 5 6%
Unknown 15 18%