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En el instante 25 de junio de 2026, 12:41:44 UTC,
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Modificado el valor del campo
modified
a2026-06-25
en Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2 -
Modificado el valor del campo
modified
del recurso Distribución HTML a2026-06-25
(anteriormente2026-06-23
) en Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2
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| 55 | "description": "Grupo de conjuntos de datos del Mar Menor.", | ||||
| 56 | "display_name": "Mar Menor", | ||||
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| 93 | "name": "26fd2b61-79aa-5fe3-bcbe-997a2ef4d034", | 103 | "name": "26fd2b61-79aa-5fe3-bcbe-997a2ef4d034", | ||
| 94 | "notes": "Mar Menor is a Mediterranean Coastal lagoon with high | 104 | "notes": "Mar Menor is a Mediterranean Coastal lagoon with high | ||
| 95 | environmental and social value, but has suffered important episodes of | 105 | environmental and social value, but has suffered important episodes of | ||
| 96 | contamination in recent years due to heavy rains, sediment dragging | 106 | contamination in recent years due to heavy rains, sediment dragging | ||
| 97 | and polluting substances mainly from agriculture as well as the entry | 107 | and polluting substances mainly from agriculture as well as the entry | ||
| 98 | of mining waste, causing an increase in eutrophication. Water quality | 108 | of mining waste, causing an increase in eutrophication. Water quality | ||
| 99 | variables such as chlorophyll-a concentration [Chl-a] and turbidity, | 109 | variables such as chlorophyll-a concentration [Chl-a] and turbidity, | ||
| 100 | can be studied through its optical properties by remote sensing | 110 | can be studied through its optical properties by remote sensing | ||
| 101 | techniques. In this work, a methodology is proposed for monitoring | 111 | techniques. In this work, a methodology is proposed for monitoring | ||
| 102 | [Chl-a] and the turbidity of the Mar Menor using Sentinel-2 images. | 112 | [Chl-a] and the turbidity of the Mar Menor using Sentinel-2 images. | ||
| 103 | For this purpose, an extensive database of both variables was used | 113 | For this purpose, an extensive database of both variables was used | ||
| 104 | consisting of data taken on different dates between 2016 and 2019 at | 114 | consisting of data taken on different dates between 2016 and 2019 at | ||
| 105 | 12 points of Mar Menor. The images were atmospherically corrected | 115 | 12 points of Mar Menor. The images were atmospherically corrected | ||
| 106 | using Case 2 Regional Coast Color Processor (C2RCC) version for turbid | 116 | using Case 2 Regional Coast Color Processor (C2RCC) version for turbid | ||
| 107 | waters (C2X) to obtain the water surface reflectance. Then several | 117 | waters (C2X) to obtain the water surface reflectance. Then several | ||
| 108 | arithmetic relations between database and reflectance bands used in | 118 | arithmetic relations between database and reflectance bands used in | ||
| 109 | the bibliography for [Chl-a] and turbidity were analyzed. Comparing | 119 | the bibliography for [Chl-a] and turbidity were analyzed. Comparing | ||
| 110 | the results of each one of these relations with the in situ data, | 120 | the results of each one of these relations with the in situ data, | ||
| 111 | decided that the best index for [Chl-a] estimation is the relation | 121 | decided that the best index for [Chl-a] estimation is the relation | ||
| 112 | (R560 + R705)/(R560 + R665) with an RMSE = 2.6 mg/m(3) and a NRMSE = | 122 | (R560 + R705)/(R560 + R665) with an RMSE = 2.6 mg/m(3) and a NRMSE = | ||
| 113 | 9.1 % and for turbidity R705*R705/R490 with an RMSE = 1.5 NTU and a | 123 | 9.1 % and for turbidity R705*R705/R490 with an RMSE = 1.5 NTU and a | ||
| 114 | NRMSE=10.9 %. Finally, by applying these relationships on different | 124 | NRMSE=10.9 %. Finally, by applying these relationships on different | ||
| 115 | dates, thematic maps of [Chl-a] and turbidity of Mar Menor were | 125 | dates, thematic maps of [Chl-a] and turbidity of Mar Menor were | ||
| 116 | obtained. One of these images was some days after September 2019 | 126 | obtained. One of these images was some days after September 2019 | ||
| 117 | torrential rains, in which a considerable [Chl-a] and turbidity | 127 | torrential rains, in which a considerable [Chl-a] and turbidity | ||
| 118 | increase was observed.", | 128 | increase was observed.", | ||
| 119 | "notes_translated": { | 129 | "notes_translated": { | ||
| 120 | "es": "Mar Menor is a Mediterranean Coastal lagoon with high | 130 | "es": "Mar Menor is a Mediterranean Coastal lagoon with high | ||
| 121 | environmental and social value, but has suffered important episodes of | 131 | environmental and social value, but has suffered important episodes of | ||
| 122 | contamination in recent years due to heavy rains, sediment dragging | 132 | contamination in recent years due to heavy rains, sediment dragging | ||
| 123 | and polluting substances mainly from agriculture as well as the entry | 133 | and polluting substances mainly from agriculture as well as the entry | ||
| 124 | of mining waste, causing an increase in eutrophication. Water quality | 134 | of mining waste, causing an increase in eutrophication. Water quality | ||
| 125 | variables such as chlorophyll-a concentration [Chl-a] and turbidity, | 135 | variables such as chlorophyll-a concentration [Chl-a] and turbidity, | ||
| 126 | can be studied through its optical properties by remote sensing | 136 | can be studied through its optical properties by remote sensing | ||
| 127 | techniques. In this work, a methodology is proposed for monitoring | 137 | techniques. In this work, a methodology is proposed for monitoring | ||
| 128 | [Chl-a] and the turbidity of the Mar Menor using Sentinel-2 images. | 138 | [Chl-a] and the turbidity of the Mar Menor using Sentinel-2 images. | ||
| 129 | For this purpose, an extensive database of both variables was used | 139 | For this purpose, an extensive database of both variables was used | ||
| 130 | consisting of data taken on different dates between 2016 and 2019 at | 140 | consisting of data taken on different dates between 2016 and 2019 at | ||
| 131 | 12 points of Mar Menor. The images were atmospherically corrected | 141 | 12 points of Mar Menor. The images were atmospherically corrected | ||
| 132 | using Case 2 Regional Coast Color Processor (C2RCC) version for turbid | 142 | using Case 2 Regional Coast Color Processor (C2RCC) version for turbid | ||
| 133 | waters (C2X) to obtain the water surface reflectance. Then several | 143 | waters (C2X) to obtain the water surface reflectance. Then several | ||
| 134 | arithmetic relations between database and reflectance bands used in | 144 | arithmetic relations between database and reflectance bands used in | ||
| 135 | the bibliography for [Chl-a] and turbidity were analyzed. Comparing | 145 | the bibliography for [Chl-a] and turbidity were analyzed. Comparing | ||
| 136 | the results of each one of these relations with the in situ data, | 146 | the results of each one of these relations with the in situ data, | ||
| 137 | decided that the best index for [Chl-a] estimation is the relation | 147 | decided that the best index for [Chl-a] estimation is the relation | ||
| 138 | (R560 + R705)/(R560 + R665) with an RMSE = 2.6 mg/m(3) and a NRMSE = | 148 | (R560 + R705)/(R560 + R665) with an RMSE = 2.6 mg/m(3) and a NRMSE = | ||
| 139 | 9.1 % and for turbidity R705*R705/R490 with an RMSE = 1.5 NTU and a | 149 | 9.1 % and for turbidity R705*R705/R490 with an RMSE = 1.5 NTU and a | ||
| 140 | NRMSE=10.9 %. Finally, by applying these relationships on different | 150 | NRMSE=10.9 %. Finally, by applying these relationships on different | ||
| 141 | dates, thematic maps of [Chl-a] and turbidity of Mar Menor were | 151 | dates, thematic maps of [Chl-a] and turbidity of Mar Menor were | ||
| 142 | obtained. One of these images was some days after September 2019 | 152 | obtained. One of these images was some days after September 2019 | ||
| 143 | torrential rains, in which a considerable [Chl-a] and turbidity | 153 | torrential rains, in which a considerable [Chl-a] and turbidity | ||
| 144 | increase was observed." | 154 | increase was observed." | ||
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| 278 | "id": "92dd4d50-2752-4df9-8eeb-64128064bda8", | 288 | "id": "92dd4d50-2752-4df9-8eeb-64128064bda8", | ||
| 279 | "name": "lagunas-costeras-salobres-saladas", | 289 | "name": "lagunas-costeras-salobres-saladas", | ||
| 280 | "state": "active", | 290 | "state": "active", | ||
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| 282 | }, | 292 | }, | ||
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| 285 | "id": "004084d1-68d8-46ca-842a-c10278540bc9", | 295 | "id": "004084d1-68d8-46ca-842a-c10278540bc9", | ||
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| 292 | "id": "db81808a-b2ee-47eb-b065-810c28f0a206", | 302 | "id": "db81808a-b2ee-47eb-b065-810c28f0a206", | ||
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| 295 | "vocabulary_id": null | 305 | "vocabulary_id": null | ||
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| 306 | "id": "1b91e619-fdaa-4fc8-9e06-20443950d6fa", | 316 | "id": "1b91e619-fdaa-4fc8-9e06-20443950d6fa", | ||
| 307 | "name": "sensores_remotos_teledeteccion", | 317 | "name": "sensores_remotos_teledeteccion", | ||
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| 313 | "espacios_protegidos" | 323 | "espacios_protegidos" | ||
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| 317 | ], | 327 | ], | ||
| 318 | "title": "Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity | 328 | "title": "Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity | ||
| 319 | estimation with Sentinel-2", | 329 | estimation with Sentinel-2", | ||
| 320 | "title_translated": { | 330 | "title_translated": { | ||
| 321 | "es": "Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity | 331 | "es": "Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity | ||
| 322 | estimation with Sentinel-2" | 332 | estimation with Sentinel-2" | ||
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| 326 | "type": "dataset", | 336 | "type": "dataset", | ||
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| 329 | "version_notes": { | 339 | "version_notes": { | ||
| 330 | "es": "" | 340 | "es": "" | ||
| 331 | } | 341 | } | ||
| 332 | } | 342 | } |