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X Demographics
Mendeley readers
Chapter title |
The Potential of UAV Derived Image Features for Discriminating Savannah Tree Species
|
---|---|
Chapter number | 10 |
Book title |
The Roles of Remote Sensing in Nature Conservation
|
Published by |
Springer, Cham, January 2017
|
DOI | 10.1007/978-3-319-64332-8_10 |
Book ISBNs |
978-3-31-964330-4, 978-3-31-964332-8
|
Authors |
J. Oldeland, A. Große-Stoltenberg, L. Naftal, B. J. Strohbach |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 29% |
Student > Bachelor | 3 | 13% |
Researcher | 3 | 13% |
Student > Doctoral Student | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Other | 4 | 17% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 9 | 38% |
Agricultural and Biological Sciences | 5 | 21% |
Earth and Planetary Sciences | 3 | 13% |
Computer Science | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
Unknown | 5 | 21% |