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Mendeley readers
| Title |
Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery
|
|---|---|
| Published in |
Geocarto International, November 2013
|
| DOI | 10.1080/10106049.2013.848944 |
| Authors |
Mustafa Neamah Jebur, Helmi Zulhaidi Mohd Shafri, Biswajeet Pradhan, Mahyat Shafapour Tehrany |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Malaysia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 29% |
| Student > Master | 15 | 19% |
| Researcher | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 15 | 19% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 22% |
| Environmental Science | 16 | 21% |
| Earth and Planetary Sciences | 14 | 18% |
| Agricultural and Biological Sciences | 7 | 9% |
| Computer Science | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 15 | 19% |