A road mobile mapping device for supervised classification of amphibians on roads.

We present the classification results of a supervised algorithm of road images containing amphibians. We used a prototype of a mobile mapping system composed of a scanning system attached to a traction vehicle capable of recording road surface images at speed up to 30 km/h. We tested the algorithm in three test situations (two control and one real): with plastic models of amphibians; with dead specimens of amphibians; and with real specimens of amphibians in a road survey. The classification results of the algorithm changed among tests, but in any case, it was able to detect more than 80% of the amphibians (more than 90% in control tests). Unfortunately, the algorithm presented as well a high rate of false-positive detections, varying from 80% in the real test to 14% in the control test with dead specimens. The Mobile Mapping Systems (MMS) is ideal for passive surveys and can work by day or night …

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Date of creation 2024-09-17
Date of last revision 2024-09-17
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Metadata identifier 9e84a0f8-2e61-5fb9-8f4c-4d4a47653b8b
Metadata language Spanish
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ISO 19115 topic category biota
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INSPIRE identifier ESPMITECOIEPNBFRAGM500
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"{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}"
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  1. European Journal of Wildlife Research. Vol. 64
  2. Num. 6
  3. pags. 77
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Name of the dataset creator Sillero, N., Ribeiro, H., Franch, M., Silva, C. y Lopes, G.
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