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Remote Sensing of Plant Biodiversity

Overview of attention for book
Cover of 'Remote Sensing of Plant Biodiversity'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Use of Remote Sensing to Enhance Biodiversity Monitoring and Detection: A Critical Challenge for the Twenty-First Century
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    Chapter 2 Applying Remote Sensing to Biodiversity Science
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    Chapter 3 Scaling Functional Traits from Leaves to Canopies
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    Chapter 4 The Laegeren Site: An Augmented Forest Laboratory
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    Chapter 5 Lessons Learned from Spectranomics: Wet Tropical Forests
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    Chapter 6 Remote Sensing for Early, Detailed, and Accurate Detection of Forest Disturbance and Decline for Protection of Biodiversity
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    Chapter 7 Linking Leaf Spectra to the Plant Tree of Life
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    Chapter 8 Linking Foliar Traits to Belowground Processes
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    Chapter 9 Using Remote Sensing for Modeling and Monitoring Species Distributions
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    Chapter 10 Remote Sensing of Geodiversity as a Link to Biodiversity
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    Chapter 11 Predicting Patterns of Plant Diversity and Endemism in the Tropics Using Remote Sensing Data: A Study Case from the Brazilian Atlantic Forest
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    Chapter 12 Remote Detection of Invasive Alien Species
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    Chapter 13 A Range of Earth Observation Techniques for Assessing Plant Diversity
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    Chapter 14 How the Optical Properties of Leaves Modify the Absorption and Scattering of Energy and Enhance Leaf Functionality
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    Chapter 15 Spectral Field Campaigns: Planning and Data Collection
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    Chapter 16 Consideration of Scale in Remote Sensing of Biodiversity
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    Chapter 17 Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales
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    Chapter 18 Essential Biodiversity Variables: Integrating In-Situ Observations and Remote Sensing Through Modeling
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    Chapter 19 Prospects and Pitfalls for Spectroscopic Remote Sensing of Biodiversity at the Global Scale
  21. Altmetric Badge
    Chapter 20 Epilogue: Toward a Global Biodiversity Monitoring System
Attention for Chapter 6: Remote Sensing for Early, Detailed, and Accurate Detection of Forest Disturbance and Decline for Protection of Biodiversity
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

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5 X users

Citations

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117 Dimensions

Readers on

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35 Mendeley
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Chapter title
Remote Sensing for Early, Detailed, and Accurate Detection of Forest Disturbance and Decline for Protection of Biodiversity
Chapter number 6
Book title
Remote Sensing of Plant Biodiversity
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-33157-3_6
Book ISBNs
978-3-03-033156-6, 978-3-03-033157-3
Authors

Jennifer Pontius, Paul Schaberg, Ryan Hanavan, Jennifer Pontius, Paul Schaberg, Ryan Hanavan, Pontius, Jennifer, Schaberg, Paul, Hanavan, Ryan

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 8 23%
Student > Master 6 17%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Other 0 0%
Unknown 7 20%
Readers by discipline Count As %
Environmental Science 11 31%
Agricultural and Biological Sciences 7 20%
Earth and Planetary Sciences 3 9%
Computer Science 1 3%
Energy 1 3%
Other 1 3%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2022.
All research outputs
#7,894,248
of 25,323,244 outputs
Outputs from this source
#586
of 2,003 outputs
Outputs of similar age
#157,158
of 407,066 outputs
Outputs of similar age from this source
#1
of 1 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,003 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 407,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them