Cambios
En el instante 23 de junio de 2026, 15:59:33 UTC,
-
Modificado el valor del campo
spatial_coverage
a[{'bbox': '{"type": "Polygon", "coordinates": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}', 'centroid': '{"type": "Point", "coordinates": [-6.92, 35.715]}', 'text': 'España', 'uri': 'http://datos.gob.es/recurso/sector-publico/territorio/Pais/España'}]
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 | 82 | "notes": "We present the classification results of a supervised | ||
| 83 | algorithm of road images containing amphibians. We used a prototype of | 83 | algorithm of road images containing amphibians. We used a prototype of | ||
| 84 | a mobile mapping system composed of a scanning system attached to a | 84 | a mobile mapping system composed of a scanning system attached to a | ||
| 85 | traction vehicle capable of recording road surface images at speed up | 85 | 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 | 86 | 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 | 87 | control and one real): with plastic models of amphibians; with dead | ||
| 88 | specimens of amphibians; and with real specimens of amphibians in a | 88 | specimens of amphibians; and with real specimens of amphibians in a | ||
| 89 | road survey. The classification results of the algorithm changed among | 89 | 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 | 90 | 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 | 91 | amphibians (more than 90% in control tests). Unfortunately, the | ||
| 92 | algorithm presented as well a high rate of false-positive detections, | 92 | 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 | 93 | 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 | 94 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | ||
| 95 | surveys and can work by day or night. This is the first study | 95 | surveys and can work by day or night. This is the first study | ||
| 96 | presenting an automatic solution to detect amphibians on roads. The | 96 | presenting an automatic solution to detect amphibians on roads. The | ||
| 97 | classification algorithm can be adapted to any animal group. Robotics | 97 | classification algorithm can be adapted to any animal group. Robotics | ||
| 98 | and computer vision are opening new horizons for wildlife | 98 | and computer vision are opening new horizons for wildlife | ||
| 99 | conservation\n Palabras clave: Amphibian", | 99 | conservation\n Palabras clave: Amphibian", | ||
| 100 | "notes_translated": { | 100 | "notes_translated": { | ||
| 101 | "en": "We present the classification results of a supervised | 101 | "en": "We present the classification results of a supervised | ||
| 102 | algorithm of road images containing amphibians. We used a prototype of | 102 | algorithm of road images containing amphibians. We used a prototype of | ||
| 103 | a mobile mapping system composed of a scanning system attached to a | 103 | a mobile mapping system composed of a scanning system attached to a | ||
| 104 | traction vehicle capable of recording road surface images at speed up | 104 | 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 | 105 | 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 | 106 | control and one real): with plastic models of amphibians; with dead | ||
| 107 | specimens of amphibians; and with real specimens of amphibians in a | 107 | specimens of amphibians; and with real specimens of amphibians in a | ||
| 108 | road survey. The classification results of the algorithm changed among | 108 | 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 | 109 | 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 | 110 | amphibians (more than 90% in control tests). Unfortunately, the | ||
| 111 | algorithm presented as well a high rate of false-positive detections, | 111 | 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 | 112 | 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 | 113 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | ||
| 114 | surveys and can work by day or night \u2026", | 114 | surveys and can work by day or night \u2026", | ||
| 115 | "es": "We present the classification results of a supervised | 115 | "es": "We present the classification results of a supervised | ||
| 116 | algorithm of road images containing amphibians. We used a prototype of | 116 | algorithm of road images containing amphibians. We used a prototype of | ||
| 117 | 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 | ||
| 118 | traction vehicle capable of recording road surface images at speed up | 118 | 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 | 119 | 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 | 120 | control and one real): with plastic models of amphibians; with dead | ||
| 121 | specimens of amphibians; and with real specimens of amphibians in a | 121 | specimens of amphibians; and with real specimens of amphibians in a | ||
| 122 | road survey. The classification results of the algorithm changed among | 122 | 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 | 123 | 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 | 124 | amphibians (more than 90% in control tests). Unfortunately, the | ||
| 125 | algorithm presented as well a high rate of false-positive detections, | 125 | 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 | 126 | 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 | 127 | specimens. The Mobile Mapping Systems (MMS) is ideal for passive | ||
| 128 | surveys and can work by day or night. This is the first study | 128 | surveys and can work by day or night. This is the first study | ||
| 129 | presenting an automatic solution to detect amphibians on roads. The | 129 | presenting an automatic solution to detect amphibians on roads. The | ||
| 130 | classification algorithm can be adapted to any animal group. Robotics | 130 | classification algorithm can be adapted to any animal group. Robotics | ||
| 131 | and computer vision are opening new horizons for wildlife | 131 | and computer vision are opening new horizons for wildlife | ||
| 132 | conservation\n Palabras clave: Amphibian" | 132 | conservation\n Palabras clave: Amphibian" | ||
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| t | 234 | "bbox": { | t | 234 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, |
| 235 | "coordinates": [ | 235 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | ||
| 236 | [ | 236 | 27.64]]]}", | ||
| 237 | [ | 237 | "centroid": "{\"type\": \"Point\", \"coordinates\": [-6.92, | ||
| 238 | -18.16, | 238 | 35.715]}", | ||
| 239 | 27.64 | ||||
| 240 | ], | ||||
| 241 | [ | ||||
| 242 | 4.32, | ||||
| 243 | 27.64 | ||||
| 244 | ], | ||||
| 245 | [ | ||||
| 246 | 4.32, | ||||
| 247 | 43.79 | ||||
| 248 | ], | ||||
| 249 | [ | ||||
| 250 | -18.16, | ||||
| 251 | 43.79 | ||||
| 252 | ], | ||||
| 253 | [ | ||||
| 254 | -18.16, | ||||
| 255 | 27.64 | ||||
| 256 | ] | ||||
| 257 | ] | ||||
| 258 | ], | ||||
| 259 | "type": "Polygon" | ||||
| 260 | }, | ||||
| 261 | "centroid": { | ||||
| 262 | "coordinates": [ | ||||
| 263 | -6.92, | ||||
| 264 | 35.715 | ||||
| 265 | ], | ||||
| 266 | "type": "Point" | ||||
| 267 | }, | ||||
| 268 | "text": "Espa\u00f1a", | 239 | "text": "Espa\u00f1a", | ||
| 269 | "uri": | 240 | "uri": | ||
| 270 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 241 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
| 271 | } | 242 | } | ||
| 272 | ], | 243 | ], | ||
| 273 | "spatial_resolution_in_meters": "", | 244 | "spatial_resolution_in_meters": "", | ||
| 274 | "spatial_uri": | 245 | "spatial_uri": | ||
| 275 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | 246 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | ||
| 276 | "state": "active", | 247 | "state": "active", | ||
| 277 | "study_variables": { | 248 | "study_variables": { | ||
| 278 | "es": "" | 249 | "es": "" | ||
| 279 | }, | 250 | }, | ||
| 280 | "tag_uri": [ | 251 | "tag_uri": [ | ||
| 281 | 252 | ||||
| 282 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 253 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 283 | ], | 254 | ], | ||
| 284 | "tags": [ | 255 | "tags": [ | ||
| 285 | { | 256 | { | ||
| 286 | "display_name": "accidentes-y-atropellos-de-fauna", | 257 | "display_name": "accidentes-y-atropellos-de-fauna", | ||
| 287 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | 258 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | ||
| 288 | "name": "accidentes-y-atropellos-de-fauna", | 259 | "name": "accidentes-y-atropellos-de-fauna", | ||
| 289 | "state": "active", | 260 | "state": "active", | ||
| 290 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
| 291 | }, | 262 | }, | ||
| 292 | { | 263 | { | ||
| 293 | "display_name": "anfibios", | 264 | "display_name": "anfibios", | ||
| 294 | "id": "5fa828ba-e8af-4146-a6ff-883899d04b28", | 265 | "id": "5fa828ba-e8af-4146-a6ff-883899d04b28", | ||
| 295 | "name": "anfibios", | 266 | "name": "anfibios", | ||
| 296 | "state": "active", | 267 | "state": "active", | ||
| 297 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
| 298 | }, | 269 | }, | ||
| 299 | { | 270 | { | ||
| 300 | "display_name": "fragmentacion", | 271 | "display_name": "fragmentacion", | ||
| 301 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | 272 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | ||
| 302 | "name": "fragmentacion", | 273 | "name": "fragmentacion", | ||
| 303 | "state": "active", | 274 | "state": "active", | ||
| 304 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
| 305 | } | 276 | } | ||
| 306 | ], | 277 | ], | ||
| 307 | "thematic_area": [ | 278 | "thematic_area": [ | ||
| 308 | "especies_silvestres" | 279 | "especies_silvestres" | ||
| 309 | ], | 280 | ], | ||
| 310 | "theme_es": [ | 281 | "theme_es": [ | ||
| 311 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 282 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 312 | ], | 283 | ], | ||
| 313 | "title": "A road mobile mapping device for supervised classification | 284 | "title": "A road mobile mapping device for supervised classification | ||
| 314 | of amphibians on roads.", | 285 | of amphibians on roads.", | ||
| 315 | "title_translated": { | 286 | "title_translated": { | ||
| 316 | "en": "", | 287 | "en": "", | ||
| 317 | "es": "A road mobile mapping device for supervised classification | 288 | "es": "A road mobile mapping device for supervised classification | ||
| 318 | of amphibians on roads." | 289 | of amphibians on roads." | ||
| 319 | }, | 290 | }, | ||
| 320 | "topic": | 291 | "topic": | ||
| 321 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 292 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 322 | "type": "dataset", | 293 | "type": "dataset", | ||
| 323 | "url": | 294 | "url": | ||
| 324 | //iepnb.es:443/catalogo/dataset/c9da5eb6-2624-5417-8d4b-a5209df42581", | 295 | //iepnb.es:443/catalogo/dataset/c9da5eb6-2624-5417-8d4b-a5209df42581", | ||
| 325 | "version": "", | 296 | "version": "", | ||
| 326 | "version_notes": { | 297 | "version_notes": { | ||
| 327 | "en": "", | 298 | "en": "", | ||
| 328 | "es": "" | 299 | "es": "" | ||
| 329 | } | 300 | } | ||
| 330 | } | 301 | } |