Environmental remote sensing from regional to global scales / Edited by Giles M. Foody and Paul J. Curran

By:

Foody, Giles M

Contributor(s):

Curran, Paul J

Material type: Text

TextLanguage: English Publication details: New York : Wiley, 2013.Description: xii, 238 p.: illustrations (some color) ; 25 cmISBN:

9788126539796

Subject(s):

DDC classification:

22 621.3678 FOO

Contents:

1. Environmental Issues at Regional to Global Scales / Paul J. Curran and Giles M. Foody -- 2. Remote Sensing and Terrestrial Global Environment Research -- The TIGER Programme / S.A. Briggs -- 3. Explaining and Monitoring Land Cover Dynamics in Drylands Using Multi-Temporal Analysis of NOAA AVHRR Imagery / A.C. Millington, J. Wellens, J.J. Settle and R.J. Saull -- 4. The Use of Remote Sensing to Characterise the Regenerative States of Tropical Forests / Paul J. Curran and Giles M. Foody -- 5. Global Land Cover: Comparison of Ground-Based Data Sets to Classifications With AVHRR Data / R.S. DeFries and J.R.G. Townshend -- 6. Snow Monitoring in the United Kingdom Using NOAA AVHRR Imagery / Richard M. Lucas and Andrew R. Harrison -- 7. A Near-Real-Time Heat Source Monitoring System Using NOAA Polar Orbiting Meteorological Satellites / Geoffrey M. Smith and Robin A. Vaughan -- 8. Per-Zone Classification of Urban Land Cover for Urban Population Estimation / Christiane Weber. 9. Attempts to Drive Ecosystem Simulation Models at Local to Regional Scales / Paul J. Curran -- 10. Remote Sensing and the Determination of Geophysical Parameters for Input to Global Models / Arthur P. Cracknell -- 11. Environmental Monitoring Using Multiple-View-Angle (MVA) Remotely-Sensed Data / M.J. Barnsley -- 12. Earth Observation Data -- Or Information? / Paul M. Mather -- 13. Spatial Data: Data Types, Data Applications and Reasons for Partial Adoption and Non-Integration / J.A. Allan -- 14. Scale and Environmental Remote Sensing / Giles M. Foody and Paul J. Curran.

Summary: Environmental remote sensing (ERS) is an important technique for environmental monitoring and analysis. The purpose of this book is to provide a benchmark collection of papers to demonstrate the flexibility and power of ERS techniques in a variety of contexts and scales

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Medicine, Technology & Management	Non-fiction	621.3678 FOO (Browse shelf(Opens below))	Available		43561

1. Environmental Issues at Regional to Global Scales / Paul J. Curran and Giles M. Foody --
2. Remote Sensing and Terrestrial Global Environment Research -- The TIGER Programme / S.A. Briggs --
3. Explaining and Monitoring Land Cover Dynamics in Drylands Using Multi-Temporal Analysis of NOAA AVHRR Imagery / A.C. Millington, J. Wellens, J.J. Settle and R.J. Saull --
4. The Use of Remote Sensing to Characterise the Regenerative States of Tropical Forests / Paul J. Curran and Giles M. Foody --
5. Global Land Cover: Comparison of Ground-Based Data Sets to Classifications With AVHRR Data / R.S. DeFries and J.R.G. Townshend --
6. Snow Monitoring in the United Kingdom Using NOAA AVHRR Imagery / Richard M. Lucas and Andrew R. Harrison --
7. A Near-Real-Time Heat Source Monitoring System Using NOAA Polar Orbiting Meteorological Satellites / Geoffrey M. Smith and Robin A. Vaughan --
8. Per-Zone Classification of Urban Land Cover for Urban Population Estimation / Christiane Weber. 9. Attempts to Drive Ecosystem Simulation Models at Local to Regional Scales / Paul J. Curran --
10. Remote Sensing and the Determination of Geophysical Parameters for Input to Global Models / Arthur P. Cracknell --
11. Environmental Monitoring Using Multiple-View-Angle (MVA) Remotely-Sensed Data / M.J. Barnsley --
12. Earth Observation Data -- Or Information? / Paul M. Mather --
13. Spatial Data: Data Types, Data Applications and Reasons for Partial Adoption and Non-Integration / J.A. Allan --
14. Scale and Environmental Remote Sensing / Giles M. Foody and Paul J. Curran.

Environmental remote sensing (ERS) is an important technique for environmental monitoring and analysis. The purpose of this book is to provide a benchmark collection of papers to demonstrate the flexibility and power of ERS techniques in a variety of contexts and scales

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