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en A road mobile mapping device for supervised classification of amphibians on roads. -
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modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en A road mobile mapping device for supervised classification of amphibians on roads.
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| 82 | "notes": "We present the classification results of a supervised | 96 | "notes": "We present the classification results of a supervised | ||
| 83 | algorithm of road images containing amphibians. We used a prototype of | 97 | algorithm of road images containing amphibians. We used a prototype of | ||
| 84 | a mobile mapping system composed of a scanning system attached to a | 98 | a mobile mapping system composed of a scanning system attached to a | ||
| 85 | traction vehicle capable of recording road surface images at speed up | 99 | traction vehicle capable of recording road surface images at speed up | ||
| 86 | to 30 km/h. We tested the algorithm in three test situations (two | 100 | to 30 km/h. We tested the algorithm in three test situations (two | ||
| 87 | control and one real): with plastic models of amphibians; with dead | 101 | control and one real): with plastic models of amphibians; with dead | ||
| 88 | specimens of amphibians; and with real specimens of amphibians in a | 102 | specimens of amphibians; and with real specimens of amphibians in a | ||
| 89 | road survey. The classification results of the algorithm changed among | 103 | road survey. The classification results of the algorithm changed among | ||
| 90 | tests, but in any case, it was able to detect more than 80% of the | 104 | tests, but in any case, it was able to detect more than 80% of the | ||
| 91 | amphibians (more than 90% in control tests). Unfortunately, the | 105 | amphibians (more than 90% in control tests). Unfortunately, the | ||
| 92 | algorithm presented as well a high rate of false-positive detections, | 106 | algorithm presented as well a high rate of false-positive detections, | ||
| 93 | varying from 80% in the real test to 14% in the control test with dead | 107 | varying from 80% in the real test to 14% in the control test with dead | ||
| 94 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | 108 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | ||
| 95 | surveys and can work by day or night. This is the first study | 109 | surveys and can work by day or night. This is the first study | ||
| 96 | presenting an automatic solution to detect amphibians on roads. The | 110 | presenting an automatic solution to detect amphibians on roads. The | ||
| 97 | classification algorithm can be adapted to any animal group. Robotics | 111 | classification algorithm can be adapted to any animal group. Robotics | ||
| 98 | and computer vision are opening new horizons for wildlife | 112 | and computer vision are opening new horizons for wildlife | ||
| 99 | conservation\n Palabras clave: Amphibian", | 113 | conservation\n Palabras clave: Amphibian", | ||
| 100 | "notes_translated": { | 114 | "notes_translated": { | ||
| 101 | "en": "We present the classification results of a supervised | 115 | "en": "We present the classification results of a supervised | ||
| 102 | algorithm of road images containing amphibians. We used a prototype of | 116 | algorithm of road images containing amphibians. We used a prototype of | ||
| 103 | a mobile mapping system composed of a scanning system attached to a | 117 | a mobile mapping system composed of a scanning system attached to a | ||
| 104 | traction vehicle capable of recording road surface images at speed up | 118 | traction vehicle capable of recording road surface images at speed up | ||
| 105 | to 30 km/h. We tested the algorithm in three test situations (two | 119 | to 30 km/h. We tested the algorithm in three test situations (two | ||
| 106 | control and one real): with plastic models of amphibians; with dead | 120 | control and one real): with plastic models of amphibians; with dead | ||
| 107 | specimens of amphibians; and with real specimens of amphibians in a | 121 | specimens of amphibians; and with real specimens of amphibians in a | ||
| 108 | road survey. The classification results of the algorithm changed among | 122 | road survey. The classification results of the algorithm changed among | ||
| 109 | tests, but in any case, it was able to detect more than 80% of the | 123 | tests, but in any case, it was able to detect more than 80% of the | ||
| 110 | amphibians (more than 90% in control tests). Unfortunately, the | 124 | amphibians (more than 90% in control tests). Unfortunately, the | ||
| 111 | algorithm presented as well a high rate of false-positive detections, | 125 | algorithm presented as well a high rate of false-positive detections, | ||
| 112 | varying from 80% in the real test to 14% in the control test with dead | 126 | varying from 80% in the real test to 14% in the control test with dead | ||
| 113 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | 127 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | ||
| 114 | surveys and can work by day or night \u2026", | 128 | surveys and can work by day or night \u2026", | ||
| 115 | "es": "We present the classification results of a supervised | 129 | "es": "We present the classification results of a supervised | ||
| 116 | algorithm of road images containing amphibians. We used a prototype of | 130 | algorithm of road images containing amphibians. We used a prototype of | ||
| 117 | a mobile mapping system composed of a scanning system attached to a | 131 | a mobile mapping system composed of a scanning system attached to a | ||
| 118 | traction vehicle capable of recording road surface images at speed up | 132 | traction vehicle capable of recording road surface images at speed up | ||
| 119 | to 30 km/h. We tested the algorithm in three test situations (two | 133 | to 30 km/h. We tested the algorithm in three test situations (two | ||
| 120 | control and one real): with plastic models of amphibians; with dead | 134 | control and one real): with plastic models of amphibians; with dead | ||
| 121 | specimens of amphibians; and with real specimens of amphibians in a | 135 | specimens of amphibians; and with real specimens of amphibians in a | ||
| 122 | road survey. The classification results of the algorithm changed among | 136 | road survey. The classification results of the algorithm changed among | ||
| 123 | tests, but in any case, it was able to detect more than 80% of the | 137 | tests, but in any case, it was able to detect more than 80% of the | ||
| 124 | amphibians (more than 90% in control tests). Unfortunately, the | 138 | amphibians (more than 90% in control tests). Unfortunately, the | ||
| 125 | algorithm presented as well a high rate of false-positive detections, | 139 | algorithm presented as well a high rate of false-positive detections, | ||
| 126 | varying from 80% in the real test to 14% in the control test with dead | 140 | varying from 80% in the real test to 14% in the control test with dead | ||
| 127 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | 141 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | ||
| 128 | surveys and can work by day or night. This is the first study | 142 | surveys and can work by day or night. This is the first study | ||
| 129 | presenting an automatic solution to detect amphibians on roads. The | 143 | presenting an automatic solution to detect amphibians on roads. The | ||
| 130 | classification algorithm can be adapted to any animal group. Robotics | 144 | classification algorithm can be adapted to any animal group. Robotics | ||
| 131 | and computer vision are opening new horizons for wildlife | 145 | and computer vision are opening new horizons for wildlife | ||
| 132 | conservation\n Palabras clave: Amphibian" | 146 | conservation\n Palabras clave: Amphibian" | ||
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| 227 | "schemingdcat_xls_metadata_template": false, | 241 | "schemingdcat_xls_metadata_template": false, | ||
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| 231 | 27.64]]]}", | 245 | 27.64]]]}", | ||
| 232 | "spatial_coverage": [ | 246 | "spatial_coverage": [ | ||
| 233 | { | 247 | { | ||
| 234 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, | 248 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, | ||
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| 236 | 27.64]]]}", | 250 | 27.64]]]}", | ||
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| 238 | 35.715]}", | 252 | 35.715]}", | ||
| 239 | "text": "Espa\u00f1a", | 253 | "text": "Espa\u00f1a", | ||
| 240 | "uri": | 254 | "uri": | ||
| 241 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 255 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
| 242 | } | 256 | } | ||
| 243 | ], | 257 | ], | ||
| 244 | "spatial_resolution_in_meters": "", | 258 | "spatial_resolution_in_meters": "", | ||
| 245 | "spatial_uri": | 259 | "spatial_uri": | ||
| 246 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | 260 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | ||
| 247 | "state": "active", | 261 | "state": "active", | ||
| 248 | "study_variables": { | 262 | "study_variables": { | ||
| 249 | "es": "" | 263 | "es": "" | ||
| 250 | }, | 264 | }, | ||
| 251 | "tag_uri": [ | 265 | "tag_uri": [ | ||
| 252 | 266 | ||||
| 253 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 267 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 254 | ], | 268 | ], | ||
| 255 | "tags": [ | 269 | "tags": [ | ||
| 256 | { | 270 | { | ||
| 257 | "display_name": "accidentes-y-atropellos-de-fauna", | 271 | "display_name": "accidentes-y-atropellos-de-fauna", | ||
| 258 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | 272 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | ||
| 259 | "name": "accidentes-y-atropellos-de-fauna", | 273 | "name": "accidentes-y-atropellos-de-fauna", | ||
| 260 | "state": "active", | 274 | "state": "active", | ||
| 261 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
| 262 | }, | 276 | }, | ||
| 263 | { | 277 | { | ||
| 264 | "display_name": "anfibios", | 278 | "display_name": "anfibios", | ||
| 265 | "id": "5fa828ba-e8af-4146-a6ff-883899d04b28", | 279 | "id": "5fa828ba-e8af-4146-a6ff-883899d04b28", | ||
| 266 | "name": "anfibios", | 280 | "name": "anfibios", | ||
| 267 | "state": "active", | 281 | "state": "active", | ||
| 268 | "vocabulary_id": null | 282 | "vocabulary_id": null | ||
| 269 | }, | 283 | }, | ||
| 270 | { | 284 | { | ||
| 271 | "display_name": "fragmentacion", | 285 | "display_name": "fragmentacion", | ||
| 272 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | 286 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | ||
| 273 | "name": "fragmentacion", | 287 | "name": "fragmentacion", | ||
| 274 | "state": "active", | 288 | "state": "active", | ||
| 275 | "vocabulary_id": null | 289 | "vocabulary_id": null | ||
| 276 | } | 290 | } | ||
| 277 | ], | 291 | ], | ||
| 278 | "thematic_area": [ | 292 | "thematic_area": [ | ||
| 279 | "especies_silvestres" | 293 | "especies_silvestres" | ||
| 280 | ], | 294 | ], | ||
| 281 | "theme_es": [ | 295 | "theme_es": [ | ||
| 282 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 296 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 283 | ], | 297 | ], | ||
| 284 | "title": "A road mobile mapping device for supervised classification | 298 | "title": "A road mobile mapping device for supervised classification | ||
| 285 | of amphibians on roads.", | 299 | of amphibians on roads.", | ||
| 286 | "title_translated": { | 300 | "title_translated": { | ||
| 287 | "en": "", | 301 | "en": "", | ||
| 288 | "es": "A road mobile mapping device for supervised classification | 302 | "es": "A road mobile mapping device for supervised classification | ||
| 289 | of amphibians on roads." | 303 | of amphibians on roads." | ||
| 290 | }, | 304 | }, | ||
| 291 | "topic": | 305 | "topic": | ||
| 292 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 306 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 293 | "type": "dataset", | 307 | "type": "dataset", | ||
| 294 | "url": | 308 | "url": | ||
| 295 | //iepnb.es:443/catalogo/dataset/c9da5eb6-2624-5417-8d4b-a5209df42581", | 309 | //iepnb.es:443/catalogo/dataset/c9da5eb6-2624-5417-8d4b-a5209df42581", | ||
| 296 | "version": "", | 310 | "version": "", | ||
| 297 | "version_notes": { | 311 | "version_notes": { | ||
| 298 | "en": "", | 312 | "en": "", | ||
| 299 | "es": "" | 313 | "es": "" | ||
| 300 | } | 314 | } | ||
| 301 | } | 315 | } |