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Mendeley readers
Title |
Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos
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Published in |
Geomatics, Natural Hazards and Risk, November 2017
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DOI | 10.1080/19475705.2017.1401013 |
Authors |
Mustafa Ridha Mezaal, Biswajeet Pradhan, Helmi Zulhaidi Mohd Shafri, Zainuddin Md Yusoff |
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 | 8 | 23% |
Student > Master | 4 | 11% |
Student > Doctoral Student | 3 | 9% |
Student > Bachelor | 3 | 9% |
Lecturer | 2 | 6% |
Other | 5 | 14% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 11 | 31% |
Earth and Planetary Sciences | 7 | 20% |
Environmental Science | 2 | 6% |
Computer Science | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 2 | 6% |
Unknown | 11 | 31% |