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| f | 1 | { | f | 1 | { |
| 2 | "author": "Sudeshna Kumar", | 2 | "author": "Sudeshna Kumar", | ||
| 3 | "author_email": "sudeshna.kumar@bc3research.org", | 3 | "author_email": "sudeshna.kumar@bc3research.org", | ||
| 4 | "creator_user_id": "c074a22a-ce93-493a-bfff-f2f9ec56cd95", | 4 | "creator_user_id": "c074a22a-ce93-493a-bfff-f2f9ec56cd95", | ||
| 5 | "extras": [], | 5 | "extras": [], | ||
| 6 | "groups": [], | 6 | "groups": [], | ||
| 7 | "id": "d419f773-4706-4c4f-8c49-8acdb869c329", | 7 | "id": "d419f773-4706-4c4f-8c49-8acdb869c329", | ||
| 8 | "isopen": true, | 8 | "isopen": true, | ||
| 9 | "license_id": "cc-by", | 9 | "license_id": "cc-by", | ||
| 10 | "license_title": "Creative Commons Attribution", | 10 | "license_title": "Creative Commons Attribution", | ||
| 11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 12 | "maintainer": "Caterina Gilli", | 12 | "maintainer": "Caterina Gilli", | ||
| 13 | "maintainer_email": "caterina.gilli@bc3research.org", | 13 | "maintainer_email": "caterina.gilli@bc3research.org", | ||
| 14 | "metadata_created": "2025-06-13T13:22:48.092950", | 14 | "metadata_created": "2025-06-13T13:22:48.092950", | ||
| t | 15 | "metadata_modified": "2025-08-05T15:57:15.551936", | t | 15 | "metadata_modified": "2025-08-05T15:57:24.554425", |
| 16 | "name": | 16 | "name": | ||
| 17 | gical-spatiotemporal-trends-to-assess-extreme-heat-hazard-in-euskadi", | 17 | gical-spatiotemporal-trends-to-assess-extreme-heat-hazard-in-euskadi", | ||
| 18 | "notes": "Land surface temperature (LST) is obtained from Landsat | 18 | "notes": "Land surface temperature (LST) is obtained from Landsat | ||
| 19 | images using the widely used radiative transfer equation. The thermal | 19 | images using the widely used radiative transfer equation. The thermal | ||
| 20 | and ecological conditions are evaluated by computing urban heat island | 20 | and ecological conditions are evaluated by computing urban heat island | ||
| 21 | (UHI) and urban thermal field variance index (UTFVI) from LST data. | 21 | (UHI) and urban thermal field variance index (UTFVI) from LST data. | ||
| 22 | The influence of vegetation, built area, presence of waterbody, and | 22 | The influence of vegetation, built area, presence of waterbody, and | ||
| 23 | bare soil on LST is examined using land cover indices through | 23 | bare soil on LST is examined using land cover indices through | ||
| 24 | pixel-level multivariate linear regression analysis. (Ahmmed et | 24 | pixel-level multivariate linear regression analysis. (Ahmmed et | ||
| 25 | al.,2021). Landsurface temperature (LST) is frequently used as an | 25 | al.,2021). Landsurface temperature (LST) is frequently used as an | ||
| 26 | indicator for UHI and shows a positive correlation with the density of | 26 | indicator for UHI and shows a positive correlation with the density of | ||
| 27 | sealed surfaces while displaying a negative association with UGS | 27 | sealed surfaces while displaying a negative association with UGS | ||
| 28 | (Aznarez et al., 2024; Rodr\u00edguez-G\u00f3mez et al., 2022). LST is | 28 | (Aznarez et al., 2024; Rodr\u00edguez-G\u00f3mez et al., 2022). LST is | ||
| 29 | used to quantify the extent and size of surface heat. LST is an | 29 | used to quantify the extent and size of surface heat. LST is an | ||
| 30 | integral variable in quantifying thermal hazard levels across | 30 | integral variable in quantifying thermal hazard levels across | ||
| 31 | cityscapes. Local topography, human activity, and specific urban heat | 31 | cityscapes. Local topography, human activity, and specific urban heat | ||
| 32 | island effects influence cities' dynamics and green spaces. | 32 | island effects influence cities' dynamics and green spaces. | ||
| 33 | \r\n\r\nThe methodology used for the creation of the datasets can be | 33 | \r\n\r\nThe methodology used for the creation of the datasets can be | ||
| 34 | found in the \"Extreme Heat Assessment 2020\u20132024 (methodology)\" | 34 | found in the \"Extreme Heat Assessment 2020\u20132024 (methodology)\" | ||
| 35 | document below.", | 35 | document below.", | ||
| 36 | "num_resources": 5, | 36 | "num_resources": 5, | ||
| 37 | "num_tags": 0, | 37 | "num_tags": 0, | ||
| 38 | "organization": { | 38 | "organization": { | ||
| 39 | "approval_status": "approved", | 39 | "approval_status": "approved", | ||
| 40 | "created": "2023-02-03T16:35:39.850142", | 40 | "created": "2023-02-03T16:35:39.850142", | ||
| 41 | "description": "ARtificial Intelligence for Environment & | 41 | "description": "ARtificial Intelligence for Environment & | ||
| 42 | Sustainability (ARIES) is an international collaboration that has | 42 | Sustainability (ARIES) is an international collaboration that has | ||
| 43 | built, for the first time, a shared knowledge space to help address | 43 | built, for the first time, a shared knowledge space to help address | ||
| 44 | the most complex sustainability issues of our time, using the semantic | 44 | the most complex sustainability issues of our time, using the semantic | ||
| 45 | web paradigm. ", | 45 | web paradigm. ", | ||
| 46 | "id": "e7a09a40-27a3-42b0-b265-8e034fe1454a", | 46 | "id": "e7a09a40-27a3-42b0-b265-8e034fe1454a", | ||
| 47 | "image_url": "2024-10-15-141725.163519Icono-Aries-RGB-color.png", | 47 | "image_url": "2024-10-15-141725.163519Icono-Aries-RGB-color.png", | ||
| 48 | "is_organization": true, | 48 | "is_organization": true, | ||
| 49 | "name": "aries", | 49 | "name": "aries", | ||
| 50 | "state": "active", | 50 | "state": "active", | ||
| 51 | "title": "ARIES", | 51 | "title": "ARIES", | ||
| 52 | "type": "organization" | 52 | "type": "organization" | ||
| 53 | }, | 53 | }, | ||
| 54 | "owner_org": "e7a09a40-27a3-42b0-b265-8e034fe1454a", | 54 | "owner_org": "e7a09a40-27a3-42b0-b265-8e034fe1454a", | ||
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| 59 | { | 59 | { | ||
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| 68 | "last_modified": "2025-08-05T15:57:02.321526", | 68 | "last_modified": "2025-08-05T15:57:02.321526", | ||
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| 72 | "name": "Extreme Heat Assessment 2020\u20132024 | 72 | "name": "Extreme Heat Assessment 2020\u20132024 | ||
| 73 | (methodology).pdf", | 73 | (methodology).pdf", | ||
| 74 | "package_id": "d419f773-4706-4c4f-8c49-8acdb869c329", | 74 | "package_id": "d419f773-4706-4c4f-8c49-8acdb869c329", | ||
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| 80 | 5d7ea28784/download/extreme-heat-assessment-20202024-methodology.pdf", | 80 | 5d7ea28784/download/extreme-heat-assessment-20202024-methodology.pdf", | ||
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| 96 | "name": "Euskadi land surface temperature 2020-2024", | 96 | "name": "Euskadi land surface temperature 2020-2024", | ||
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| 103 | cators_extreme_heat%2FEuskadi_land_surface_temperature_2020-2024.tif", | 103 | cators_extreme_heat%2FEuskadi_land_surface_temperature_2020-2024.tif", | ||
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| 105 | }, | 105 | }, | ||
| 106 | { | 106 | { | ||
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| 117 | "mimetype": "image/tiff", | 117 | "mimetype": "image/tiff", | ||
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| 119 | "name": "Euskadi normalized difference vegetation index | 119 | "name": "Euskadi normalized difference vegetation index | ||
| 120 | 2020-2024", | 120 | 2020-2024", | ||
| 121 | "package_id": "d419f773-4706-4c4f-8c49-8acdb869c329", | 121 | "package_id": "d419f773-4706-4c4f-8c49-8acdb869c329", | ||
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| 127 | _heat%2FEuskadi_normalized_difference_vegetation_index_2020-2024.tif", | 127 | _heat%2FEuskadi_normalized_difference_vegetation_index_2020-2024.tif", | ||
| 128 | "url_type": null | 128 | "url_type": null | ||
| 129 | }, | 129 | }, | ||
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| 150 | be_indicators_extreme_heat%2FEuskadi_urban_heat_island_2020-2024.tif", | 150 | be_indicators_extreme_heat%2FEuskadi_urban_heat_island_2020-2024.tif", | ||
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| 163 | "metadata_modified": "2025-06-13T13:39:45.050012", | 163 | "metadata_modified": "2025-06-13T13:39:45.050012", | ||
| 164 | "mimetype": "image/tiff", | 164 | "mimetype": "image/tiff", | ||
| 165 | "mimetype_inner": null, | 165 | "mimetype_inner": null, | ||
| 166 | "name": "Euskadi urban thermal field variance index 2020-2024", | 166 | "name": "Euskadi urban thermal field variance index 2020-2024", | ||
| 167 | "package_id": "d419f773-4706-4c4f-8c49-8acdb869c329", | 167 | "package_id": "d419f773-4706-4c4f-8c49-8acdb869c329", | ||
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| 173 | reme_heat%2FEuskadi_urban_thermal_field_variance_index_2020-2024.tif", | 173 | reme_heat%2FEuskadi_urban_thermal_field_variance_index_2020-2024.tif", | ||
| 174 | "url_type": null | 174 | "url_type": null | ||
| 175 | } | 175 | } | ||
| 176 | ], | 176 | ], | ||
| 177 | "state": "active", | 177 | "state": "active", | ||
| 178 | "tags": [], | 178 | "tags": [], | ||
| 179 | "title": "Thermal and Ecological spatiotemporal trends to assess | 179 | "title": "Thermal and Ecological spatiotemporal trends to assess | ||
| 180 | extreme heat hazard in Euskadi", | 180 | extreme heat hazard in Euskadi", | ||
| 181 | "type": "dataset", | 181 | "type": "dataset", | ||
| 182 | "url": "", | 182 | "url": "", | ||
| 183 | "version": "" | 183 | "version": "" | ||
| 184 | } | 184 | } |
