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Remote Sensing of Forest Environments

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Cover of 'Remote Sensing of Forest Environments'

Table of Contents

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    Book Overview
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    Chapter 1 Remote Sensing of Forest Environments, Introduction
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    Chapter 2 Selection of Remotely Sensed Data
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    Chapter 3 The Roles of Aerial Photographs in Forestry Remote Sensing Image Analysis
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    Chapter 4 Indirect Measurement of Forest Canopy Structure from In Situ Optical Sensors
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    Chapter 5 Accuracy Assessment of Maps of Forest Condition
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    Chapter 6 Geometric Correction of Remotely Sensed Images
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    Chapter 7 Radiometric Image Processing
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    Chapter 8 Per-Pixel Analysis of Forest Structure
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    Chapter 9 Extracting Individual Tree Information
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    Chapter 10 Rationale and Conceptual Framework for Classification Approaches to Assess Forest Resources and Properties
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    Chapter 11 Remote Sensing of Forests Over Time
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    Chapter 12 National Scale Forest Information Extraction from Coarse Resolution Satellite Data, Part 1
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    Chapter 13 National Scale Forest Information Extraction from Coarse Resolution Satellite Data, Part 2
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    Chapter 14 Regional Forest Land Cover Characterisation using Medium Spatial Resolution Satellite Data
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    Chapter 15 Modeling Forest Productivity Using Data Acquired Through Remote Sensing
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    Chapter 16 Experiences in Field Data Collection
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    Chapter 17 Estimation of Foliar Chemistry of Western Hemlock Using Hyperspectral Data
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    Chapter 18 Using Georeferenced Large-Scale Aerial Videography as a Surrogate for Ground Validation Data
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    Chapter 19 Tree and Canopy Height Estimation with Scanning Lidar
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    Chapter 20 Remote Sensing of Forest Environments, Conclusions
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Citations

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Title
Remote Sensing of Forest Environments
Published by
Springer US, December 2012
DOI 10.1007/978-1-4615-0306-4
ISBNs
978-1-4613-5014-9, 978-1-4615-0306-4
Editors

Wulder, Michael A., Franklin, Steven E.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 3%
South Africa 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 18%
Student > Ph. D. Student 5 13%
Researcher 4 11%
Student > Master 3 8%
Professor 3 8%
Other 6 16%
Unknown 10 26%
Readers by discipline Count As %
Environmental Science 14 37%
Agricultural and Biological Sciences 4 11%
Earth and Planetary Sciences 3 8%
Engineering 2 5%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 13 34%