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En el instante 28 de octubre de 2025, 22:11:30 UTC,
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Añadido recurso Correlación entre temperatura y desarrollo urbano en las ZM de México 2002-2022 a Correlación entre temperatura y desarrollo urbano en las ZM de México 2002-2022
| f | 1 | { | f | 1 | { |
| 2 | "author": "Alberto Garc\u00eda Robledo <agarcia@centrogeo.edu.mx>; | 2 | "author": "Alberto Garc\u00eda Robledo <agarcia@centrogeo.edu.mx>; | ||
| 3 | Jorge Paredes <jparedes@centrogeo.edu.mx>; S. Ivvan Valdez Pe\u00f1a | 3 | Jorge Paredes <jparedes@centrogeo.edu.mx>; S. Ivvan Valdez Pe\u00f1a | ||
| 4 | <svaldez@centrogeo.edu.mx>; Joyce Valdovinos Ortega | 4 | <svaldez@centrogeo.edu.mx>; Joyce Valdovinos Ortega | ||
| 5 | <jvaldovinos@centrogeo.edu.mx>", | 5 | <jvaldovinos@centrogeo.edu.mx>", | ||
| 6 | "author_email": null, | 6 | "author_email": null, | ||
| 7 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | 7 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | ||
| 8 | "extras": [ | 8 | "extras": [ | ||
| 9 | { | 9 | { | ||
| 10 | "key": "Autores de contenido", | 10 | "key": "Autores de contenido", | ||
| 11 | "value": "Alberto Garc\u00eda Robledo | 11 | "value": "Alberto Garc\u00eda Robledo | ||
| 12 | <agarcia@centrogeo.edu.mx>, Jorge Paredes <jparedes@centrogeo.edu.mx>, | 12 | <agarcia@centrogeo.edu.mx>, Jorge Paredes <jparedes@centrogeo.edu.mx>, | ||
| 13 | S. Ivvan Valdez Pe\u00f1a <svaldez@centrogeo.edu.mx>, Joyce Valdovinos | 13 | S. Ivvan Valdez Pe\u00f1a <svaldez@centrogeo.edu.mx>, Joyce Valdovinos | ||
| 14 | Ortega <jvaldovinos@centrogeo.edu.mx>" | 14 | Ortega <jvaldovinos@centrogeo.edu.mx>" | ||
| 15 | }, | 15 | }, | ||
| 16 | { | 16 | { | ||
| 17 | "key": "Autores t\u00e9cnicos", | 17 | "key": "Autores t\u00e9cnicos", | ||
| 18 | "value": "Alberto Garc\u00eda Robledo | 18 | "value": "Alberto Garc\u00eda Robledo | ||
| 19 | <agarcia@centrogeo.edu.mx>" | 19 | <agarcia@centrogeo.edu.mx>" | ||
| 20 | }, | 20 | }, | ||
| 21 | { | 21 | { | ||
| 22 | "key": "Contacto de contenidos", | 22 | "key": "Contacto de contenidos", | ||
| 23 | "value": "Alberto Garc\u00eda Robledo | 23 | "value": "Alberto Garc\u00eda Robledo | ||
| 24 | <agarcia@centrogeo.edu.mx>" | 24 | <agarcia@centrogeo.edu.mx>" | ||
| 25 | }, | 25 | }, | ||
| 26 | { | 26 | { | ||
| 27 | "key": "Contacto t\u00e9cnico", | 27 | "key": "Contacto t\u00e9cnico", | ||
| 28 | "value": "Alberto Garc\u00eda Robledo | 28 | "value": "Alberto Garc\u00eda Robledo | ||
| 29 | <agarcia@centrogeo.edu.mx>" | 29 | <agarcia@centrogeo.edu.mx>" | ||
| 30 | }, | 30 | }, | ||
| 31 | { | 31 | { | ||
| 32 | "key": "Fecha de actualizaci\u00f3n", | 32 | "key": "Fecha de actualizaci\u00f3n", | ||
| 33 | "value": "18/01/2024" | 33 | "value": "18/01/2024" | ||
| 34 | }, | 34 | }, | ||
| 35 | { | 35 | { | ||
| 36 | "key": "Identificador hash", | 36 | "key": "Identificador hash", | ||
| 37 | "value": "66d0c21ad07b" | 37 | "value": "66d0c21ad07b" | ||
| 38 | }, | 38 | }, | ||
| 39 | { | 39 | { | ||
| 40 | "key": "Idioma", | 40 | "key": "Idioma", | ||
| 41 | "value": "Espa\u00f1ol" | 41 | "value": "Espa\u00f1ol" | ||
| 42 | }, | 42 | }, | ||
| 43 | { | 43 | { | ||
| 44 | "key": "Tipo", | 44 | "key": "Tipo", | ||
| 45 | "value": "Visualizaci\u00f3n" | 45 | "value": "Visualizaci\u00f3n" | ||
| 46 | }, | 46 | }, | ||
| 47 | { | 47 | { | ||
| 48 | "key": "URL", | 48 | "key": "URL", | ||
| 49 | "value": | 49 | "value": | ||
| 50 | https://visualizacion.observatoriogeo.mx/ndbicorr/dashboard/ndbicorr/" | 50 | https://visualizacion.observatoriogeo.mx/ndbicorr/dashboard/ndbicorr/" | ||
| 51 | }, | 51 | }, | ||
| 52 | { | 52 | { | ||
| 53 | "key": "URL del thumbnail", | 53 | "key": "URL del thumbnail", | ||
| 54 | "value": | 54 | "value": | ||
| 55 | ps://observatoriogeo.mx/wp-content/uploads/2025/10/temp-ndbi-dash.png" | 55 | ps://observatoriogeo.mx/wp-content/uploads/2025/10/temp-ndbi-dash.png" | ||
| 56 | }, | 56 | }, | ||
| 57 | { | 57 | { | ||
| 58 | "key": "Versi\u00f3n", | 58 | "key": "Versi\u00f3n", | ||
| 59 | "value": "v1.0.0" | 59 | "value": "v1.0.0" | ||
| 60 | } | 60 | } | ||
| 61 | ], | 61 | ], | ||
| 62 | "groups": [ | 62 | "groups": [ | ||
| 63 | { | 63 | { | ||
| 64 | "description": "", | 64 | "description": "", | ||
| 65 | "display_name": "Visualizaciones", | 65 | "display_name": "Visualizaciones", | ||
| 66 | "id": "2b5bec50-1abb-4886-841d-ea9b266fefc8", | 66 | "id": "2b5bec50-1abb-4886-841d-ea9b266fefc8", | ||
| 67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
| 68 | "name": "visualizaciones", | 68 | "name": "visualizaciones", | ||
| 69 | "title": "Visualizaciones" | 69 | "title": "Visualizaciones" | ||
| 70 | } | 70 | } | ||
| 71 | ], | 71 | ], | ||
| 72 | "id": "13ac2081-7605-4fca-bdd2-9532c9466043", | 72 | "id": "13ac2081-7605-4fca-bdd2-9532c9466043", | ||
| 73 | "isopen": false, | 73 | "isopen": false, | ||
| 74 | "license_id": null, | 74 | "license_id": null, | ||
| 75 | "license_title": null, | 75 | "license_title": null, | ||
| 76 | "maintainer": null, | 76 | "maintainer": null, | ||
| 77 | "maintainer_email": null, | 77 | "maintainer_email": null, | ||
| 78 | "metadata_created": "2025-10-28T22:11:30.117031", | 78 | "metadata_created": "2025-10-28T22:11:30.117031", | ||
| n | 79 | "metadata_modified": "2025-10-28T22:11:30.117044", | n | 79 | "metadata_modified": "2025-10-28T22:11:30.861044", |
| 80 | "name": "66d0c21ad07b", | 80 | "name": "66d0c21ad07b", | ||
| 81 | "notes": "El dashboard \u201cCorrelaci\u00f3n entre temperatura y | 81 | "notes": "El dashboard \u201cCorrelaci\u00f3n entre temperatura y | ||
| 82 | desarrollo urbano en las Zonas Metropolitanas de M\u00e9xico | 82 | desarrollo urbano en las Zonas Metropolitanas de M\u00e9xico | ||
| 83 | (2002\u20132022)\u201d muestra de forma interactiva la relaci\u00f3n | 83 | (2002\u20132022)\u201d muestra de forma interactiva la relaci\u00f3n | ||
| 84 | entre la temperatura promedio superficial y el \u00cdndice de | 84 | entre la temperatura promedio superficial y el \u00cdndice de | ||
| 85 | Diferencia Normalizada Edificada (NDBI), empleado como indicador del | 85 | Diferencia Normalizada Edificada (NDBI), empleado como indicador del | ||
| 86 | grado de urbanizaci\u00f3n en las 74 zonas metropolitanas del | 86 | grado de urbanizaci\u00f3n en las 74 zonas metropolitanas del | ||
| 87 | pa\u00eds definidas por SEDATU\u2013CONAPO\u2013INEGI (2015).\n\nEl | 87 | pa\u00eds definidas por SEDATU\u2013CONAPO\u2013INEGI (2015).\n\nEl | ||
| 88 | tablero se organiza en tres secciones principales:\n\n* Gr\u00e1fica | 88 | tablero se organiza en tres secciones principales:\n\n* Gr\u00e1fica | ||
| 89 | de correlaci\u00f3n NDBI vs. temperatura, que presenta los puntos de | 89 | de correlaci\u00f3n NDBI vs. temperatura, que presenta los puntos de | ||
| 90 | dispersi\u00f3n y los coeficientes de correlaci\u00f3n de Pearson, | 90 | dispersi\u00f3n y los coeficientes de correlaci\u00f3n de Pearson, | ||
| 91 | Spearman y Kendall Tau, junto con sus valores p.\n* Serie temporal del | 91 | Spearman y Kendall Tau, junto con sus valores p.\n* Serie temporal del | ||
| 92 | NDBI y la temperatura promedio, que permite observar la evoluci\u00f3n | 92 | NDBI y la temperatura promedio, que permite observar la evoluci\u00f3n | ||
| 93 | de ambas variables a lo largo de los veinte a\u00f1os de | 93 | de ambas variables a lo largo de los veinte a\u00f1os de | ||
| 94 | an\u00e1lisis.\n* Mapa coropl\u00e9tico de correlaci\u00f3n, que | 94 | an\u00e1lisis.\n* Mapa coropl\u00e9tico de correlaci\u00f3n, que | ||
| 95 | muestra los valores de correlaci\u00f3n por zona metropolitana, | 95 | muestra los valores de correlaci\u00f3n por zona metropolitana, | ||
| 96 | facilitando la comparaci\u00f3n espacial entre regiones.\n\nLos | 96 | facilitando la comparaci\u00f3n espacial entre regiones.\n\nLos | ||
| 97 | c\u00e1lculos se realizaron a partir de im\u00e1genes satelitales del | 97 | c\u00e1lculos se realizaron a partir de im\u00e1genes satelitales del | ||
| 98 | conjunto USGS Landsat 7 Surface Reflectance Tier 1 (Colecci\u00f3n 2, | 98 | conjunto USGS Landsat 7 Surface Reflectance Tier 1 (Colecci\u00f3n 2, | ||
| 99 | Nivel 2), procesadas en la plataforma Google Earth Engine entre enero | 99 | Nivel 2), procesadas en la plataforma Google Earth Engine entre enero | ||
| 100 | de 2002 y enero de 2023. Para cada mes y zona metropolitana se | 100 | de 2002 y enero de 2023. Para cada mes y zona metropolitana se | ||
| 101 | seleccionaron las 15 im\u00e1genes con menor nubosidad, descartando | 101 | seleccionaron las 15 im\u00e1genes con menor nubosidad, descartando | ||
| 102 | aquellas con un promedio superior al 20 por ciento.\n\nEl NDBI se | 102 | aquellas con un promedio superior al 20 por ciento.\n\nEl NDBI se | ||
| 103 | calcul\u00f3 utilizando las bandas de reflectancia superficial del | 103 | calcul\u00f3 utilizando las bandas de reflectancia superficial del | ||
| 104 | infrarrojo cercano (B4) y del infrarrojo de onda corta (B5), que | 104 | infrarrojo cercano (B4) y del infrarrojo de onda corta (B5), que | ||
| 105 | permiten distinguir entre \u00e1reas edificadas, vegetadas o con suelo | 105 | permiten distinguir entre \u00e1reas edificadas, vegetadas o con suelo | ||
| 106 | desnudo. Para cada zona metropolitana se obtuvo el promedio espacial | 106 | desnudo. Para cada zona metropolitana se obtuvo el promedio espacial | ||
| 107 | del valor m\u00e1ximo mensual de NDBI, representando el nivel relativo | 107 | del valor m\u00e1ximo mensual de NDBI, representando el nivel relativo | ||
| 108 | de urbanizaci\u00f3n. La temperatura superficial promedio se | 108 | de urbanizaci\u00f3n. La temperatura superficial promedio se | ||
| 109 | deriv\u00f3 de la banda t\u00e9rmica (B6) del Landsat 7, promediando | 109 | deriv\u00f3 de la banda t\u00e9rmica (B6) del Landsat 7, promediando | ||
| 110 | los valores m\u00e1ximos de temperatura por p\u00edxel dentro de cada | 110 | los valores m\u00e1ximos de temperatura por p\u00edxel dentro de cada | ||
| 111 | pol\u00edgono metropolitano.\n\nNota: Los resultados presentados son | 111 | pol\u00edgono metropolitano.\n\nNota: Los resultados presentados son | ||
| 112 | de car\u00e1cter preliminar y deben interpretarse con precauci\u00f3n. | 112 | de car\u00e1cter preliminar y deben interpretarse con precauci\u00f3n. | ||
| 113 | Se ha observado que el \u00edndice NDBI, cuando se aplica directamente | 113 | Se ha observado que el \u00edndice NDBI, cuando se aplica directamente | ||
| 114 | sobre im\u00e1genes Landsat 7, puede clasificar err\u00f3neamente | 114 | sobre im\u00e1genes Landsat 7, puede clasificar err\u00f3neamente | ||
| 115 | ciertas zonas como desarrolladas o no desarrolladas debido a, por | 115 | ciertas zonas como desarrolladas o no desarrolladas debido a, por | ||
| 116 | ejemplo, variaciones espectrales o condiciones atmosf\u00e9ricas | 116 | ejemplo, variaciones espectrales o condiciones atmosf\u00e9ricas | ||
| 117 | locales. No obstante, se espera que los valores obtenidos permitan | 117 | locales. No obstante, se espera que los valores obtenidos permitan | ||
| 118 | observar de manera general la tendencia de las correlaciones entre el | 118 | observar de manera general la tendencia de las correlaciones entre el | ||
| 119 | crecimiento urbano y el aumento de las temperaturas promedio en las | 119 | crecimiento urbano y el aumento de las temperaturas promedio en las | ||
| 120 | zonas metropolitanas de M\u00e9xico durante el periodo | 120 | zonas metropolitanas de M\u00e9xico durante el periodo | ||
| 121 | 2002\u20132022.", | 121 | 2002\u20132022.", | ||
| n | 122 | "num_resources": 0, | n | 122 | "num_resources": 1, |
| 123 | "num_tags": 28, | 123 | "num_tags": 28, | ||
| 124 | "organization": { | 124 | "organization": { | ||
| 125 | "approval_status": "approved", | 125 | "approval_status": "approved", | ||
| 126 | "created": "2022-05-19T00:10:30.480393", | 126 | "created": "2022-05-19T00:10:30.480393", | ||
| 127 | "description": "Observatorio Metropolitano CentroGeo", | 127 | "description": "Observatorio Metropolitano CentroGeo", | ||
| 128 | "id": "b3b3a79d-748a-4464-9471-732b6c74ec53", | 128 | "id": "b3b3a79d-748a-4464-9471-732b6c74ec53", | ||
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| 132 | "name": "observatorio-metropolitano-centrogeo", | 132 | "name": "observatorio-metropolitano-centrogeo", | ||
| 133 | "state": "active", | 133 | "state": "active", | ||
| 134 | "title": "Observatorio Metropolitano CentroGeo", | 134 | "title": "Observatorio Metropolitano CentroGeo", | ||
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| 137 | "owner_org": "b3b3a79d-748a-4464-9471-732b6c74ec53", | 137 | "owner_org": "b3b3a79d-748a-4464-9471-732b6c74ec53", | ||
| 138 | "private": false, | 138 | "private": false, | ||
| 139 | "relationships_as_object": [], | 139 | "relationships_as_object": [], | ||
| 140 | "relationships_as_subject": [], | 140 | "relationships_as_subject": [], | ||
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| 142 | { | ||||
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| 145 | "created": "2025-10-28T22:11:30.931175", | ||||
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| 147 | "description": "El dashboard \u201cCorrelaci\u00f3n entre | ||||
| 148 | temperatura y desarrollo urbano en las Zonas Metropolitanas de | ||||
| 149 | M\u00e9xico (2002\u20132022)\u201d muestra de forma interactiva la | ||||
| 150 | relaci\u00f3n entre la temperatura promedio superficial y el | ||||
| 151 | \u00cdndice de Diferencia Normalizada Edificada (NDBI), empleado como | ||||
| 152 | indicador del grado de urbanizaci\u00f3n en las 74 zonas | ||||
| 153 | metropolitanas del pa\u00eds definidas por | ||||
| 154 | SEDATU\u2013CONAPO\u2013INEGI (2015).\n\nEl tablero se organiza en | ||||
| 155 | tres secciones principales:\n\n* Gr\u00e1fica de correlaci\u00f3n NDBI | ||||
| 156 | vs. temperatura, que presenta los puntos de dispersi\u00f3n y los | ||||
| 157 | coeficientes de correlaci\u00f3n de Pearson, Spearman y Kendall Tau, | ||||
| 158 | junto con sus valores p.\n* Serie temporal del NDBI y la temperatura | ||||
| 159 | promedio, que permite observar la evoluci\u00f3n de ambas variables a | ||||
| 160 | lo largo de los veinte a\u00f1os de an\u00e1lisis.\n* Mapa | ||||
| 161 | coropl\u00e9tico de correlaci\u00f3n, que muestra los valores de | ||||
| 162 | correlaci\u00f3n por zona metropolitana, facilitando la | ||||
| 163 | comparaci\u00f3n espacial entre regiones.\n\nLos c\u00e1lculos se | ||||
| 164 | realizaron a partir de im\u00e1genes satelitales del conjunto USGS | ||||
| 165 | Landsat 7 Surface Reflectance Tier 1 (Colecci\u00f3n 2, Nivel 2), | ||||
| 166 | procesadas en la plataforma Google Earth Engine entre enero de 2002 y | ||||
| 167 | enero de 2023. Para cada mes y zona metropolitana se seleccionaron las | ||||
| 168 | 15 im\u00e1genes con menor nubosidad, descartando aquellas con un | ||||
| 169 | promedio superior al 20 por ciento.\n\nEl NDBI se calcul\u00f3 | ||||
| 170 | utilizando las bandas de reflectancia superficial del infrarrojo | ||||
| 171 | cercano (B4) y del infrarrojo de onda corta (B5), que permiten | ||||
| 172 | distinguir entre \u00e1reas edificadas, vegetadas o con suelo desnudo. | ||||
| 173 | Para cada zona metropolitana se obtuvo el promedio espacial del valor | ||||
| 174 | m\u00e1ximo mensual de NDBI, representando el nivel relativo de | ||||
| 175 | urbanizaci\u00f3n. La temperatura superficial promedio se deriv\u00f3 | ||||
| 176 | de la banda t\u00e9rmica (B6) del Landsat 7, promediando los valores | ||||
| 177 | m\u00e1ximos de temperatura por p\u00edxel dentro de cada | ||||
| 178 | pol\u00edgono metropolitano.\n\nNota: Los resultados presentados son | ||||
| 179 | de car\u00e1cter preliminar y deben interpretarse con precauci\u00f3n. | ||||
| 180 | Se ha observado que el \u00edndice NDBI, cuando se aplica directamente | ||||
| 181 | sobre im\u00e1genes Landsat 7, puede clasificar err\u00f3neamente | ||||
| 182 | ciertas zonas como desarrolladas o no desarrolladas debido a, por | ||||
| 183 | ejemplo, variaciones espectrales o condiciones atmosf\u00e9ricas | ||||
| 184 | locales. No obstante, se espera que los valores obtenidos permitan | ||||
| 185 | observar de manera general la tendencia de las correlaciones entre el | ||||
| 186 | crecimiento urbano y el aumento de las temperaturas promedio en las | ||||
| 187 | zonas metropolitanas de M\u00e9xico durante el periodo | ||||
| 188 | 2002\u20132022.", | ||||
| 189 | "format": "HTML", | ||||
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| 196 | "name": "Correlaci\u00f3n entre temperatura y desarrollo urbano | ||||
| 197 | en las ZM de M\u00e9xico 2002-2022", | ||||
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| 143 | "tags": [ | 209 | "tags": [ | ||
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| 155 | "state": "active", | 221 | "state": "active", | ||
| 156 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
| 157 | }, | 223 | }, | ||
| 158 | { | 224 | { | ||
| 159 | "display_name": "analisis-temporal", | 225 | "display_name": "analisis-temporal", | ||
| 160 | "id": "e6500def-d7fc-467d-a002-ad0447691c57", | 226 | "id": "e6500def-d7fc-467d-a002-ad0447691c57", | ||
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| 179 | { | 245 | { | ||
| 180 | "display_name": "cobertura-urbana", | 246 | "display_name": "cobertura-urbana", | ||
| 181 | "id": "03ab8335-c7a9-4dbf-bf13-fa08a85aed3f", | 247 | "id": "03ab8335-c7a9-4dbf-bf13-fa08a85aed3f", | ||
| 182 | "name": "cobertura-urbana", | 248 | "name": "cobertura-urbana", | ||
| 183 | "state": "active", | 249 | "state": "active", | ||
| 184 | "vocabulary_id": null | 250 | "vocabulary_id": null | ||
| 185 | }, | 251 | }, | ||
| 186 | { | 252 | { | ||
| 187 | "display_name": "correlacion", | 253 | "display_name": "correlacion", | ||
| 188 | "id": "91a01968-175c-4908-83aa-917572dd0503", | 254 | "id": "91a01968-175c-4908-83aa-917572dd0503", | ||
| 189 | "name": "correlacion", | 255 | "name": "correlacion", | ||
| 190 | "state": "active", | 256 | "state": "active", | ||
| 191 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
| 192 | }, | 258 | }, | ||
| 193 | { | 259 | { | ||
| 194 | "display_name": "crecimiento-urbano", | 260 | "display_name": "crecimiento-urbano", | ||
| 195 | "id": "caa9f44b-e626-4586-8bdb-ce30378b2e86", | 261 | "id": "caa9f44b-e626-4586-8bdb-ce30378b2e86", | ||
| 196 | "name": "crecimiento-urbano", | 262 | "name": "crecimiento-urbano", | ||
| 197 | "state": "active", | 263 | "state": "active", | ||
| 198 | "vocabulary_id": null | 264 | "vocabulary_id": null | ||
| 199 | }, | 265 | }, | ||
| 200 | { | 266 | { | ||
| 201 | "display_name": "datos-geoespaciales", | 267 | "display_name": "datos-geoespaciales", | ||
| 202 | "id": "11b8b62a-8750-488f-934a-fadfdd8f8629", | 268 | "id": "11b8b62a-8750-488f-934a-fadfdd8f8629", | ||
| 203 | "name": "datos-geoespaciales", | 269 | "name": "datos-geoespaciales", | ||
| 204 | "state": "active", | 270 | "state": "active", | ||
| 205 | "vocabulary_id": null | 271 | "vocabulary_id": null | ||
| 206 | }, | 272 | }, | ||
| 207 | { | 273 | { | ||
| 208 | "display_name": "desarrollo-urbano", | 274 | "display_name": "desarrollo-urbano", | ||
| 209 | "id": "6939dfb5-f48e-4274-ae3a-0e796d04594b", | 275 | "id": "6939dfb5-f48e-4274-ae3a-0e796d04594b", | ||
| 210 | "name": "desarrollo-urbano", | 276 | "name": "desarrollo-urbano", | ||
| 211 | "state": "active", | 277 | "state": "active", | ||
| 212 | "vocabulary_id": null | 278 | "vocabulary_id": null | ||
| 213 | }, | 279 | }, | ||
| 214 | { | 280 | { | ||
| 215 | "display_name": "google-earth-engine", | 281 | "display_name": "google-earth-engine", | ||
| 216 | "id": "da51dff3-1d1f-4329-8f4d-ccb54061f546", | 282 | "id": "da51dff3-1d1f-4329-8f4d-ccb54061f546", | ||
| 217 | "name": "google-earth-engine", | 283 | "name": "google-earth-engine", | ||
| 218 | "state": "active", | 284 | "state": "active", | ||
| 219 | "vocabulary_id": null | 285 | "vocabulary_id": null | ||
| 220 | }, | 286 | }, | ||
| 221 | { | 287 | { | ||
| 222 | "display_name": "imagenes-satelitales", | 288 | "display_name": "imagenes-satelitales", | ||
| 223 | "id": "34e806f3-bd0f-4372-bc00-586bd650e8a6", | 289 | "id": "34e806f3-bd0f-4372-bc00-586bd650e8a6", | ||
| 224 | "name": "imagenes-satelitales", | 290 | "name": "imagenes-satelitales", | ||
| 225 | "state": "active", | 291 | "state": "active", | ||
| 226 | "vocabulary_id": null | 292 | "vocabulary_id": null | ||
| 227 | }, | 293 | }, | ||
| 228 | { | 294 | { | ||
| 229 | "display_name": "indice-espectral", | 295 | "display_name": "indice-espectral", | ||
| 230 | "id": "945d59fa-f44e-4d15-8b98-9331ebfb9710", | 296 | "id": "945d59fa-f44e-4d15-8b98-9331ebfb9710", | ||
| 231 | "name": "indice-espectral", | 297 | "name": "indice-espectral", | ||
| 232 | "state": "active", | 298 | "state": "active", | ||
| 233 | "vocabulary_id": null | 299 | "vocabulary_id": null | ||
| 234 | }, | 300 | }, | ||
| 235 | { | 301 | { | ||
| 236 | "display_name": "jparedes", | 302 | "display_name": "jparedes", | ||
| 237 | "id": "45de6aed-42af-4ad7-8cc0-166ea484921e", | 303 | "id": "45de6aed-42af-4ad7-8cc0-166ea484921e", | ||
| 238 | "name": "jparedes", | 304 | "name": "jparedes", | ||
| 239 | "state": "active", | 305 | "state": "active", | ||
| 240 | "vocabulary_id": null | 306 | "vocabulary_id": null | ||
| 241 | }, | 307 | }, | ||
| 242 | { | 308 | { | ||
| 243 | "display_name": "jvaldovinos", | 309 | "display_name": "jvaldovinos", | ||
| 244 | "id": "7050b377-8609-4df4-b302-29c4dd3e4945", | 310 | "id": "7050b377-8609-4df4-b302-29c4dd3e4945", | ||
| 245 | "name": "jvaldovinos", | 311 | "name": "jvaldovinos", | ||
| 246 | "state": "active", | 312 | "state": "active", | ||
| 247 | "vocabulary_id": null | 313 | "vocabulary_id": null | ||
| 248 | }, | 314 | }, | ||
| 249 | { | 315 | { | ||
| 250 | "display_name": "landsat-7", | 316 | "display_name": "landsat-7", | ||
| 251 | "id": "17bd3fcf-c88b-4bda-865c-7816d295d156", | 317 | "id": "17bd3fcf-c88b-4bda-865c-7816d295d156", | ||
| 252 | "name": "landsat-7", | 318 | "name": "landsat-7", | ||
| 253 | "state": "active", | 319 | "state": "active", | ||
| 254 | "vocabulary_id": null | 320 | "vocabulary_id": null | ||
| 255 | }, | 321 | }, | ||
| 256 | { | 322 | { | ||
| 257 | "display_name": "mexico", | 323 | "display_name": "mexico", | ||
| 258 | "id": "913563c5-3f76-4869-ba30-05eff20c41f8", | 324 | "id": "913563c5-3f76-4869-ba30-05eff20c41f8", | ||
| 259 | "name": "mexico", | 325 | "name": "mexico", | ||
| 260 | "state": "active", | 326 | "state": "active", | ||
| 261 | "vocabulary_id": null | 327 | "vocabulary_id": null | ||
| 262 | }, | 328 | }, | ||
| 263 | { | 329 | { | ||
| 264 | "display_name": "ndbi", | 330 | "display_name": "ndbi", | ||
| 265 | "id": "843ee11d-44d1-41e8-a53d-4ed63b105933", | 331 | "id": "843ee11d-44d1-41e8-a53d-4ed63b105933", | ||
| 266 | "name": "ndbi", | 332 | "name": "ndbi", | ||
| 267 | "state": "active", | 333 | "state": "active", | ||
| 268 | "vocabulary_id": null | 334 | "vocabulary_id": null | ||
| 269 | }, | 335 | }, | ||
| 270 | { | 336 | { | ||
| 271 | "display_name": "observatorio-metropolitano", | 337 | "display_name": "observatorio-metropolitano", | ||
| 272 | "id": "c3a142dd-ecb6-4698-b5a1-01913558a524", | 338 | "id": "c3a142dd-ecb6-4698-b5a1-01913558a524", | ||
| 273 | "name": "observatorio-metropolitano", | 339 | "name": "observatorio-metropolitano", | ||
| 274 | "state": "active", | 340 | "state": "active", | ||
| 275 | "vocabulary_id": null | 341 | "vocabulary_id": null | ||
| 276 | }, | 342 | }, | ||
| 277 | { | 343 | { | ||
| 278 | "display_name": "planeacion-territorial", | 344 | "display_name": "planeacion-territorial", | ||
| 279 | "id": "32bbd048-bfbe-42f9-980d-6199afc40703", | 345 | "id": "32bbd048-bfbe-42f9-980d-6199afc40703", | ||
| 280 | "name": "planeacion-territorial", | 346 | "name": "planeacion-territorial", | ||
| 281 | "state": "active", | 347 | "state": "active", | ||
| 282 | "vocabulary_id": null | 348 | "vocabulary_id": null | ||
| 283 | }, | 349 | }, | ||
| 284 | { | 350 | { | ||
| 285 | "display_name": "svaldez", | 351 | "display_name": "svaldez", | ||
| 286 | "id": "f42a8210-1cef-4f03-98a0-a6d3d0d4f848", | 352 | "id": "f42a8210-1cef-4f03-98a0-a6d3d0d4f848", | ||
| 287 | "name": "svaldez", | 353 | "name": "svaldez", | ||
| 288 | "state": "active", | 354 | "state": "active", | ||
| 289 | "vocabulary_id": null | 355 | "vocabulary_id": null | ||
| 290 | }, | 356 | }, | ||
| 291 | { | 357 | { | ||
| 292 | "display_name": "teledeteccion", | 358 | "display_name": "teledeteccion", | ||
| 293 | "id": "9ec78c19-88ad-404e-8ce5-c59b288b32d5", | 359 | "id": "9ec78c19-88ad-404e-8ce5-c59b288b32d5", | ||
| 294 | "name": "teledeteccion", | 360 | "name": "teledeteccion", | ||
| 295 | "state": "active", | 361 | "state": "active", | ||
| 296 | "vocabulary_id": null | 362 | "vocabulary_id": null | ||
| 297 | }, | 363 | }, | ||
| 298 | { | 364 | { | ||
| 299 | "display_name": "temperatura-promedio", | 365 | "display_name": "temperatura-promedio", | ||
| 300 | "id": "91ea003d-879f-436c-8e55-82c0809d5e37", | 366 | "id": "91ea003d-879f-436c-8e55-82c0809d5e37", | ||
| 301 | "name": "temperatura-promedio", | 367 | "name": "temperatura-promedio", | ||
| 302 | "state": "active", | 368 | "state": "active", | ||
| 303 | "vocabulary_id": null | 369 | "vocabulary_id": null | ||
| 304 | }, | 370 | }, | ||
| 305 | { | 371 | { | ||
| 306 | "display_name": "temperatura-superficial", | 372 | "display_name": "temperatura-superficial", | ||
| 307 | "id": "79f316cb-eb13-4048-8d2b-aa6a3516b0b4", | 373 | "id": "79f316cb-eb13-4048-8d2b-aa6a3516b0b4", | ||
| 308 | "name": "temperatura-superficial", | 374 | "name": "temperatura-superficial", | ||
| 309 | "state": "active", | 375 | "state": "active", | ||
| 310 | "vocabulary_id": null | 376 | "vocabulary_id": null | ||
| 311 | }, | 377 | }, | ||
| 312 | { | 378 | { | ||
| 313 | "display_name": "urbanizacion", | 379 | "display_name": "urbanizacion", | ||
| 314 | "id": "fa73ceab-cb4d-4ae0-851f-e5714ce4f029", | 380 | "id": "fa73ceab-cb4d-4ae0-851f-e5714ce4f029", | ||
| 315 | "name": "urbanizacion", | 381 | "name": "urbanizacion", | ||
| 316 | "state": "active", | 382 | "state": "active", | ||
| 317 | "vocabulary_id": null | 383 | "vocabulary_id": null | ||
| 318 | }, | 384 | }, | ||
| 319 | { | 385 | { | ||
| 320 | "display_name": "uso-de-suelo", | 386 | "display_name": "uso-de-suelo", | ||
| 321 | "id": "1bc1d197-77e6-4d52-aeda-e4bc6f7e41ab", | 387 | "id": "1bc1d197-77e6-4d52-aeda-e4bc6f7e41ab", | ||
| 322 | "name": "uso-de-suelo", | 388 | "name": "uso-de-suelo", | ||
| 323 | "state": "active", | 389 | "state": "active", | ||
| 324 | "vocabulary_id": null | 390 | "vocabulary_id": null | ||
| 325 | }, | 391 | }, | ||
| 326 | { | 392 | { | ||
| 327 | "display_name": "variabilidad-climatica", | 393 | "display_name": "variabilidad-climatica", | ||
| 328 | "id": "e1d20b98-332a-4f4c-a602-600e44dbcd5c", | 394 | "id": "e1d20b98-332a-4f4c-a602-600e44dbcd5c", | ||
| 329 | "name": "variabilidad-climatica", | 395 | "name": "variabilidad-climatica", | ||
| 330 | "state": "active", | 396 | "state": "active", | ||
| 331 | "vocabulary_id": null | 397 | "vocabulary_id": null | ||
| 332 | }, | 398 | }, | ||
| 333 | { | 399 | { | ||
| 334 | "display_name": "zonas-metropolitanas", | 400 | "display_name": "zonas-metropolitanas", | ||
| 335 | "id": "787707d4-baeb-4015-81da-5601306762b3", | 401 | "id": "787707d4-baeb-4015-81da-5601306762b3", | ||
| 336 | "name": "zonas-metropolitanas", | 402 | "name": "zonas-metropolitanas", | ||
| 337 | "state": "active", | 403 | "state": "active", | ||
| 338 | "vocabulary_id": null | 404 | "vocabulary_id": null | ||
| 339 | } | 405 | } | ||
| 340 | ], | 406 | ], | ||
| 341 | "title": "Correlaci\u00f3n entre temperatura y desarrollo urbano en | 407 | "title": "Correlaci\u00f3n entre temperatura y desarrollo urbano en | ||
| 342 | las ZM de M\u00e9xico 2002-2022", | 408 | las ZM de M\u00e9xico 2002-2022", | ||
| 343 | "type": "dataset", | 409 | "type": "dataset", | ||
| 344 | "url": | 410 | "url": | ||
| 345 | ttps://visualizacion.observatoriogeo.mx/ndbicorr/dashboard/ndbicorr/", | 411 | ttps://visualizacion.observatoriogeo.mx/ndbicorr/dashboard/ndbicorr/", | ||
| 346 | "version": null | 412 | "version": null | ||
| 347 | } | 413 | } |
