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Mendeley readers
| Title |
Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos
|
|---|---|
| Published in |
Geomatics, Natural Hazards and Risk, November 2017
|
| 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% |