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Earth Observation Open Science and Innovation

Overview of attention for book
Cover of 'Earth Observation Open Science and Innovation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Changing Landscape of Geospatial Information Markets
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    Chapter 2 The Digital Transformation of Education
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    Chapter 3 The Open Science Commons for the European Research Area
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    Chapter 4 Citizen Science for Observing and Understanding the Earth
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    Chapter 5 Fostering Cross-Disciplinary Earth Science Through Datacube Analytics
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    Chapter 6 Mind the Gap: Big Data vs. Interoperability and Reproducibility of Science
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    Chapter 7 Cyber-Infrastructure for Data-Intensive Geospatial Computing
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    Chapter 8 Machine Learning Applications for Earth Observation
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    Chapter 9 New Generation Platforms for Exploration of Crowdsourced Geo-Data
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    Chapter 10 Mapping Land Use Dynamics Using the Collective Power of the Crowd
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    Chapter 11 The Emergence of the GeoSharing Economy
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    Chapter 12 Sustainable Agriculture and Smart Farming
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    Chapter 13 Earth Observation Data for Enterprise Business Applications
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    Chapter 14 Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring
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    Chapter 15 Putting Big Data Innovation into Action for Development
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    Chapter 16 Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Application in Senegal
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    Chapter 17 Earth Observation and Geospatial Implementation: Fueling Innovation in a Changing World
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    Chapter 18 Artificial Intelligence and Earth Observation to Explore Water Quality in the Wadden Sea
Attention for Chapter 8: Machine Learning Applications for Earth Observation
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

2 X users
1 Wikipedia page


25 Dimensions

Readers on

155 Mendeley
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Chapter title
Machine Learning Applications for Earth Observation
Chapter number 8
Book title
Earth Observation Open Science and Innovation
Published in
ADS, January 2018
DOI 10.1007/978-3-319-65633-5_8
Book ISBNs
978-3-31-965632-8, 978-3-31-965633-5

David J. Lary, Gebreab K. Zewdie, Xun Liu, Daji Wu, Estelle Levetin, Rebecca J. Allee, Nabin Malakar, Annette Walker, Hamse Mussa, Antonio Mannino, Dirk Aurin, Lary, David J., Zewdie, Gebreab K., Liu, Xun, Wu, Daji, Levetin, Estelle, Allee, Rebecca J., Malakar, Nabin, Walker, Annette, Mussa, Hamse, Mannino, Antonio, Aurin, Dirk

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 15%
Student > Ph. D. Student 22 14%
Student > Master 15 10%
Student > Doctoral Student 11 7%
Lecturer 9 6%
Other 28 18%
Unknown 47 30%
Readers by discipline Count As %
Earth and Planetary Sciences 25 16%
Environmental Science 20 13%
Computer Science 18 12%
Agricultural and Biological Sciences 11 7%
Engineering 9 6%
Other 18 12%
Unknown 54 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 November 2018.
All research outputs
of 24,378,498 outputs
Outputs from ADS
of 39,195 outputs
Outputs of similar age
of 451,165 outputs
Outputs of similar age from ADS
of 985 outputs
Altmetric has tracked 24,378,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 39,195 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 451,165 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 71% of its contemporaries.
We're also able to compare this research output to 985 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.