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en New approach to chlorophyll a determination in shallow coastal waters by remote sensing -
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modified
del recurso Distribución HTML a2026-06-25
(anteriormente2026-06-23
) en New approach to chlorophyll a determination in shallow coastal waters by remote sensing
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| 93 | "notes": "A new conceptual approach for chlorophyll a estimation by | 103 | "notes": "A new conceptual approach for chlorophyll a estimation by | ||
| 94 | remote sensing in coastal shallow waters has been developed on the | 104 | remote sensing in coastal shallow waters has been developed on the | ||
| 95 | basis that the coefficient of water attenuation can be estimated from | 105 | basis that the coefficient of water attenuation can be estimated from | ||
| 96 | the signal received by the sensor avoiding the influence of bottom | 106 | the signal received by the sensor avoiding the influence of bottom | ||
| 97 | radiance. It has been tested at the Mar Menor, an oligotrophic coastal | 107 | radiance. It has been tested at the Mar Menor, an oligotrophic coastal | ||
| 98 | lagoon located in the SE of Spain, based on a flight synchronized with | 108 | lagoon located in the SE of Spain, based on a flight synchronized with | ||
| 99 | sampling of water and substrate. The spectral information was obtained | 109 | sampling of water and substrate. The spectral information was obtained | ||
| 100 | from Daedalus 1268 multispectral scanner which configuration was | 110 | from Daedalus 1268 multispectral scanner which configuration was | ||
| 101 | similar to CZCS. Samples from water and substrate were analysed in the | 111 | similar to CZCS. Samples from water and substrate were analysed in the | ||
| 102 | laboratory to quantify environmental parameters. The lagoon has an | 112 | laboratory to quantify environmental parameters. The lagoon has an | ||
| 103 | average depth of 3.5 m and a maximum depth of 6.6 m. Bottoms are | 113 | average depth of 3.5 m and a maximum depth of 6.6 m. Bottoms are | ||
| 104 | mainly covered by dense Caulerpa prolifera-Cymododea nodosa beds. The | 114 | mainly covered by dense Caulerpa prolifera-Cymododea nodosa beds. The | ||
| 105 | lagoon surface, which is about 135 km(2), was covered with five | 115 | lagoon surface, which is about 135 km(2), was covered with five | ||
| 106 | aeroplane passages. The proposed approach assumes that the coefficient | 116 | aeroplane passages. The proposed approach assumes that the coefficient | ||
| 107 | of water attenuation (K) is not constant throughout the scene and | 117 | of water attenuation (K) is not constant throughout the scene and | ||
| 108 | these variations are related to chlorophyll a concentration. A new | 118 | these variations are related to chlorophyll a concentration. A new | ||
| 109 | method to obtain K for each pixel was previously developed.", | 119 | method to obtain K for each pixel was previously developed.", | ||
| 110 | "notes_translated": { | 120 | "notes_translated": { | ||
| 111 | "es": "A new conceptual approach for chlorophyll a estimation by | 121 | "es": "A new conceptual approach for chlorophyll a estimation by | ||
| 112 | remote sensing in coastal shallow waters has been developed on the | 122 | remote sensing in coastal shallow waters has been developed on the | ||
| 113 | basis that the coefficient of water attenuation can be estimated from | 123 | basis that the coefficient of water attenuation can be estimated from | ||
| 114 | the signal received by the sensor avoiding the influence of bottom | 124 | the signal received by the sensor avoiding the influence of bottom | ||
| 115 | radiance. It has been tested at the Mar Menor, an oligotrophic coastal | 125 | radiance. It has been tested at the Mar Menor, an oligotrophic coastal | ||
| 116 | lagoon located in the SE of Spain, based on a flight synchronized with | 126 | lagoon located in the SE of Spain, based on a flight synchronized with | ||
| 117 | sampling of water and substrate. The spectral information was obtained | 127 | sampling of water and substrate. The spectral information was obtained | ||
| 118 | from Daedalus 1268 multispectral scanner which configuration was | 128 | from Daedalus 1268 multispectral scanner which configuration was | ||
| 119 | similar to CZCS. Samples from water and substrate were analysed in the | 129 | similar to CZCS. Samples from water and substrate were analysed in the | ||
| 120 | laboratory to quantify environmental parameters. The lagoon has an | 130 | laboratory to quantify environmental parameters. The lagoon has an | ||
| 121 | average depth of 3.5 m and a maximum depth of 6.6 m. Bottoms are | 131 | average depth of 3.5 m and a maximum depth of 6.6 m. Bottoms are | ||
| 122 | mainly covered by dense Caulerpa prolifera-Cymododea nodosa beds. The | 132 | mainly covered by dense Caulerpa prolifera-Cymododea nodosa beds. The | ||
| 123 | lagoon surface, which is about 135 km(2), was covered with five | 133 | lagoon surface, which is about 135 km(2), was covered with five | ||
| 124 | aeroplane passages. The proposed approach assumes that the coefficient | 134 | aeroplane passages. The proposed approach assumes that the coefficient | ||
| 125 | of water attenuation (K) is not constant throughout the scene and | 135 | of water attenuation (K) is not constant throughout the scene and | ||
| 126 | these variations are related to chlorophyll a concentration. A new | 136 | these variations are related to chlorophyll a concentration. A new | ||
| 127 | method to obtain K for each pixel was previously developed." | 137 | method to obtain K for each pixel was previously developed." | ||
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| 230 | 38.07]}", | 240 | 38.07]}", | ||
| 231 | "text": "Regi\u00f3n de Murcia", | 241 | "text": "Regi\u00f3n de Murcia", | ||
| 232 | "uri": | 242 | "uri": | ||
| 233 | atos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia" | 243 | atos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia" | ||
| 234 | } | 244 | } | ||
| 235 | ], | 245 | ], | ||
| 236 | "spatial_uri": | 246 | "spatial_uri": | ||
| 237 | tos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia", | 247 | tos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia", | ||
| 238 | "state": "active", | 248 | "state": "active", | ||
| 239 | "study_variables": { | 249 | "study_variables": { | ||
| 240 | "es": "" | 250 | "es": "" | ||
| 241 | }, | 251 | }, | ||
| 242 | "tag_uri": [ | 252 | "tag_uri": [ | ||
| 243 | 253 | ||||
| 244 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 254 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 245 | ], | 255 | ], | ||
| 246 | "tags": [ | 256 | "tags": [ | ||
| 247 | { | 257 | { | ||
| 248 | "display_name": "diversidad", | 258 | "display_name": "diversidad", | ||
| 249 | "id": "34ab7b9c-f2e0-47ad-aab4-69c31e8d0e14", | 259 | "id": "34ab7b9c-f2e0-47ad-aab4-69c31e8d0e14", | ||
| 250 | "name": "diversidad", | 260 | "name": "diversidad", | ||
| 251 | "state": "active", | 261 | "state": "active", | ||
| 252 | "vocabulary_id": null | 262 | "vocabulary_id": null | ||
| 253 | }, | 263 | }, | ||
| 254 | { | 264 | { | ||
| 255 | "display_name": "eutrofizacion", | 265 | "display_name": "eutrofizacion", | ||
| 256 | "id": "5fcdd244-0f78-4801-be7d-5a67c5bb55ec", | 266 | "id": "5fcdd244-0f78-4801-be7d-5a67c5bb55ec", | ||
| 257 | "name": "eutrofizacion", | 267 | "name": "eutrofizacion", | ||
| 258 | "state": "active", | 268 | "state": "active", | ||
| 259 | "vocabulary_id": null | 269 | "vocabulary_id": null | ||
| 260 | }, | 270 | }, | ||
| 261 | { | 271 | { | ||
| 262 | "display_name": "fotosintesis", | 272 | "display_name": "fotosintesis", | ||
| 263 | "id": "4a120a32-4ed4-4b61-9193-1d46da5f3b4e", | 273 | "id": "4a120a32-4ed4-4b61-9193-1d46da5f3b4e", | ||
| 264 | "name": "fotosintesis", | 274 | "name": "fotosintesis", | ||
| 265 | "state": "active", | 275 | "state": "active", | ||
| 266 | "vocabulary_id": null | 276 | "vocabulary_id": null | ||
| 267 | }, | 277 | }, | ||
| 268 | { | 278 | { | ||
| 269 | "display_name": "marino", | 279 | "display_name": "marino", | ||
| 270 | "id": "004084d1-68d8-46ca-842a-c10278540bc9", | 280 | "id": "004084d1-68d8-46ca-842a-c10278540bc9", | ||
| 271 | "name": "marino", | 281 | "name": "marino", | ||
| 272 | "state": "active", | 282 | "state": "active", | ||
| 273 | "vocabulary_id": null | 283 | "vocabulary_id": null | ||
| 274 | }, | 284 | }, | ||
| 275 | { | 285 | { | ||
| 276 | "display_name": "seguimiento", | 286 | "display_name": "seguimiento", | ||
| 277 | "id": "35753cbf-b84a-487f-80a1-3930d85a73a0", | 287 | "id": "35753cbf-b84a-487f-80a1-3930d85a73a0", | ||
| 278 | "name": "seguimiento", | 288 | "name": "seguimiento", | ||
| 279 | "state": "active", | 289 | "state": "active", | ||
| 280 | "vocabulary_id": null | 290 | "vocabulary_id": null | ||
| 281 | }, | 291 | }, | ||
| 282 | { | 292 | { | ||
| 283 | "display_name": "sensores_remotos_teledeteccion", | 293 | "display_name": "sensores_remotos_teledeteccion", | ||
| 284 | "id": "1b91e619-fdaa-4fc8-9e06-20443950d6fa", | 294 | "id": "1b91e619-fdaa-4fc8-9e06-20443950d6fa", | ||
| 285 | "name": "sensores_remotos_teledeteccion", | 295 | "name": "sensores_remotos_teledeteccion", | ||
| 286 | "state": "active", | 296 | "state": "active", | ||
| 287 | "vocabulary_id": null | 297 | "vocabulary_id": null | ||
| 288 | } | 298 | } | ||
| 289 | ], | 299 | ], | ||
| 290 | "thematic_area": [ | 300 | "thematic_area": [ | ||
| 291 | "espacios_protegidos" | 301 | "espacios_protegidos" | ||
| 292 | ], | 302 | ], | ||
| 293 | "theme_es": [ | 303 | "theme_es": [ | ||
| 294 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 304 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 295 | ], | 305 | ], | ||
| 296 | "title": "New approach to chlorophyll a determination in shallow | 306 | "title": "New approach to chlorophyll a determination in shallow | ||
| 297 | coastal waters by remote sensing", | 307 | coastal waters by remote sensing", | ||
| 298 | "title_translated": { | 308 | "title_translated": { | ||
| 299 | "es": "New approach to chlorophyll a determination in shallow | 309 | "es": "New approach to chlorophyll a determination in shallow | ||
| 300 | coastal waters by remote sensing" | 310 | coastal waters by remote sensing" | ||
| 301 | }, | 311 | }, | ||
| 302 | "topic": | 312 | "topic": | ||
| 303 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 313 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 304 | "type": "dataset", | 314 | "type": "dataset", | ||
| 305 | "url": | 315 | "url": | ||
| 306 | //iepnb.es:443/catalogo/dataset/e66435c2-adfa-5f29-8617-d6cea36dd537", | 316 | //iepnb.es:443/catalogo/dataset/e66435c2-adfa-5f29-8617-d6cea36dd537", | ||
| 307 | "version_notes": { | 317 | "version_notes": { | ||
| 308 | "es": "" | 318 | "es": "" | ||
| 309 | } | 319 | } | ||
| 310 | } | 320 | } |