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On 2025(e)ko otsailaren 10(a) 21:03:16 (UTC),
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Added resource Salt Water to Aerial Captured Data Beaumont-Port Arthur Region
| f | 1 | { | f | 1 | { |
| 2 | "author": "Linchao Luo", | 2 | "author": "Linchao Luo", | ||
| 3 | "author_email": "", | 3 | "author_email": "", | ||
| 4 | "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc", | 4 | "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc", | ||
| 5 | "extras": [ | 5 | "extras": [ | ||
| 6 | { | 6 | { | ||
| 7 | "key": "spatial", | 7 | "key": "spatial", | ||
| 8 | "value": "{ \"type\": \"Polygon\", | 8 | "value": "{ \"type\": \"Polygon\", | ||
| 9 | 71037],[-94.2950771234,30.1820571037],[-94.2950771234,29.6520269129]]] | 9 | 71037],[-94.2950771234,30.1820571037],[-94.2950771234,29.6520269129]]] | ||
| 10 | }" | 10 | }" | ||
| 11 | } | 11 | } | ||
| 12 | ], | 12 | ], | ||
| 13 | "groups": [], | 13 | "groups": [], | ||
| 14 | "id": "50ce6b4f-ced1-4d2d-a0ba-396c8dd1f54e", | 14 | "id": "50ce6b4f-ced1-4d2d-a0ba-396c8dd1f54e", | ||
| 15 | "isopen": true, | 15 | "isopen": true, | ||
| 16 | "license_id": "cc-by", | 16 | "license_id": "cc-by", | ||
| 17 | "license_title": "Creative Commons Attribution", | 17 | "license_title": "Creative Commons Attribution", | ||
| 18 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 18 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 19 | "maintainer": "Linchao Luo", | 19 | "maintainer": "Linchao Luo", | ||
| 20 | "maintainer_email": "", | 20 | "maintainer_email": "", | ||
| 21 | "metadata_created": "2025-02-10T21:02:19.733233", | 21 | "metadata_created": "2025-02-10T21:02:19.733233", | ||
| n | 22 | "metadata_modified": "2025-02-10T21:03:03.089318", | n | 22 | "metadata_modified": "2025-02-10T21:03:16.470007", |
| 23 | "name": "aerial-captured-data-beaumont-port-arthur-region", | 23 | "name": "aerial-captured-data-beaumont-port-arthur-region", | ||
| 24 | "notes": "Our Co-design team is from the University of Texas, | 24 | "notes": "Our Co-design team is from the University of Texas, | ||
| 25 | working on a Department of Energy-funded project focused on the | 25 | working on a Department of Energy-funded project focused on the | ||
| 26 | Beaumont-Port Arthur area. As part of this project, we will be | 26 | Beaumont-Port Arthur area. As part of this project, we will be | ||
| 27 | developing climate-resilient design solutions for areas of the region. | 27 | developing climate-resilient design solutions for areas of the region. | ||
| 28 | More on www.caee.utexas.edu.\r\n\r\nWe used a DJI Mavic 2 Pro to | 28 | More on www.caee.utexas.edu.\r\n\r\nWe used a DJI Mavic 2 Pro to | ||
| 29 | capture aerial photos in Beaumont-Port Arthur, TX, in February 2023, | 29 | capture aerial photos in Beaumont-Port Arthur, TX, in February 2023, | ||
| 30 | including:\r\n\r\nI. Beaumont Soccer Club\r\n\r\nII. Corps\u2019 Port | 30 | including:\r\n\r\nI. Beaumont Soccer Club\r\n\r\nII. Corps\u2019 Port | ||
| 31 | Arthur Resident Office\r\n\r\nIII. Halbouty Pump Station comprises its | 31 | Arthur Resident Office\r\n\r\nIII. Halbouty Pump Station comprises its | ||
| 32 | vicinity\r\n\r\nIV. Lamar University (Including Exxon Power Plants | 32 | vicinity\r\n\r\nIV. Lamar University (Including Exxon Power Plants | ||
| 33 | close to Lamar Univ.)\r\n\r\nV. MLK Boulevard for aerial images of the | 33 | close to Lamar Univ.)\r\n\r\nV. MLK Boulevard for aerial images of the | ||
| 34 | industry and the ship channel\r\n\r\nVI. Salt Water Barrier (include | 34 | industry and the ship channel\r\n\r\nVI. Salt Water Barrier (include | ||
| 35 | some aerial images about the Big Thicket)\r\n\r\nAerial photos taken | 35 | some aerial images about the Big Thicket)\r\n\r\nAerial photos taken | ||
| 36 | were through DroneDeploy autonomous flight, and models were processed | 36 | were through DroneDeploy autonomous flight, and models were processed | ||
| 37 | through the DroneDeploy engine as well. All aerial photos are in .JPG | 37 | through the DroneDeploy engine as well. All aerial photos are in .JPG | ||
| 38 | format and contained in zipped files for each location.\r\n\r\nThe | 38 | format and contained in zipped files for each location.\r\n\r\nThe | ||
| 39 | processed data package including 3D models, geospatial data, mappings, | 39 | processed data package including 3D models, geospatial data, mappings, | ||
| 40 | point clouds, and the animation video of Halbouty Pump Station has | 40 | point clouds, and the animation video of Halbouty Pump Station has | ||
| 41 | various file types:\r\n\r\n- The Adobe Suite gives you great software | 41 | various file types:\r\n\r\n- The Adobe Suite gives you great software | ||
| 42 | to open .Tif files.\r\n\r\n- You can use LASUtility (Windows), ESRI | 42 | to open .Tif files.\r\n\r\n- You can use LASUtility (Windows), ESRI | ||
| 43 | ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file | 43 | ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file | ||
| 44 | and view the data it contains.\r\n\r\n- Open an .OBJ file with a large | 44 | and view the data it contains.\r\n\r\n- Open an .OBJ file with a large | ||
| 45 | number of free and commercial applications. Some examples include | 45 | number of free and commercial applications. Some examples include | ||
| 46 | Microsoft 3D Builder, Apple Preview, Blender, and Autodesk.\r\n\r\n- | 46 | Microsoft 3D Builder, Apple Preview, Blender, and Autodesk.\r\n\r\n- | ||
| 47 | You may use ArcGIS, Merkaartor, Blender (with the Google Earth | 47 | You may use ArcGIS, Merkaartor, Blender (with the Google Earth | ||
| 48 | Importer plug-in), Global Mapper, and Marble to open .KML | 48 | Importer plug-in), Global Mapper, and Marble to open .KML | ||
| 49 | files.\r\n\r\n- The .tfw world file is a text file used to | 49 | files.\r\n\r\n- The .tfw world file is a text file used to | ||
| 50 | georeference the GeoTIFF raster images, like the orthomosaic and the | 50 | georeference the GeoTIFF raster images, like the orthomosaic and the | ||
| 51 | DSM. You need suitable software like ArcView to open a .TFW | 51 | DSM. You need suitable software like ArcView to open a .TFW | ||
| 52 | file.\r\n\r\nThis dataset provides researchers with sufficient | 52 | file.\r\n\r\nThis dataset provides researchers with sufficient | ||
| 53 | geometric data and the status quo of the land surface at the locations | 53 | geometric data and the status quo of the land surface at the locations | ||
| 54 | mentioned above. This dataset could streamline researchers' | 54 | mentioned above. This dataset could streamline researchers' | ||
| 55 | decision-making processes and enhance the design as well.\r\n\r\nIn | 55 | decision-making processes and enhance the design as well.\r\n\r\nIn | ||
| 56 | October 2023, we had our follow-up data collection, | 56 | October 2023, we had our follow-up data collection, | ||
| 57 | including:\r\n\r\nI. Beaumont Soccer Club\r\n\r\nII. Shipping and | 57 | including:\r\n\r\nI. Beaumont Soccer Club\r\n\r\nII. Shipping and | ||
| 58 | Receiving Center at Lamar University\r\n\r\nAfter the aerial | 58 | Receiving Center at Lamar University\r\n\r\nAfter the aerial | ||
| 59 | collection, we obtained aerial photos of those two locations mentioned | 59 | collection, we obtained aerial photos of those two locations mentioned | ||
| 60 | above, as well as processed data (such as point clouds and models).", | 60 | above, as well as processed data (such as point clouds and models).", | ||
| n | 61 | "num_resources": 2, | n | 61 | "num_resources": 3, |
| 62 | "num_tags": 15, | 62 | "num_tags": 15, | ||
| 63 | "organization": { | 63 | "organization": { | ||
| 64 | "approval_status": "approved", | 64 | "approval_status": "approved", | ||
| 65 | "created": "2024-12-13T20:42:01.291625", | 65 | "created": "2024-12-13T20:42:01.291625", | ||
| 66 | "description": "Southeast Texas Urban Integrated Field Lab | 66 | "description": "Southeast Texas Urban Integrated Field Lab | ||
| 67 | (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying | 67 | (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying | ||
| 68 | the Beaumont-Port Arthur area. The project focuses on Gulf Coast | 68 | the Beaumont-Port Arthur area. The project focuses on Gulf Coast | ||
| 69 | communities with industrial facilities and population change | 69 | communities with industrial facilities and population change | ||
| 70 | challenges.", | 70 | challenges.", | ||
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| 72 | "image_url": | 72 | "image_url": | ||
| 73 | "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", | 73 | "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", | ||
| 74 | "is_organization": true, | 74 | "is_organization": true, | ||
| 75 | "name": "setx-uifl", | 75 | "name": "setx-uifl", | ||
| 76 | "state": "active", | 76 | "state": "active", | ||
| 77 | "title": "Southeast Texas Urban Integrated Field Lab", | 77 | "title": "Southeast Texas Urban Integrated Field Lab", | ||
| 78 | "type": "organization" | 78 | "type": "organization" | ||
| 79 | }, | 79 | }, | ||
| 80 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | 80 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
| 81 | "private": false, | 81 | "private": false, | ||
| 82 | "relationships_as_object": [], | 82 | "relationships_as_object": [], | ||
| 83 | "relationships_as_subject": [], | 83 | "relationships_as_subject": [], | ||
| 84 | "resources": [ | 84 | "resources": [ | ||
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| 121 | "name": "Big Thicket", | 121 | "name": "Big Thicket", | ||
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| 130 | } | 153 | } | ||
| 131 | ], | 154 | ], | ||
| 132 | "state": "draft", | 155 | "state": "draft", | ||
| 133 | "tags": [ | 156 | "tags": [ | ||
| 134 | { | 157 | { | ||
| 135 | "display_name": "2d mapping", | 158 | "display_name": "2d mapping", | ||
| 136 | "id": "236aba08-4014-44e8-8905-6027cfd504e3", | 159 | "id": "236aba08-4014-44e8-8905-6027cfd504e3", | ||
| 137 | "name": "2d mapping", | 160 | "name": "2d mapping", | ||
| 138 | "state": "active", | 161 | "state": "active", | ||
| 139 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
| 140 | }, | 163 | }, | ||
| 141 | { | 164 | { | ||
| 142 | "display_name": "3d model", | 165 | "display_name": "3d model", | ||
| 143 | "id": "1001b276-df35-4514-8a72-e59a45e2f451", | 166 | "id": "1001b276-df35-4514-8a72-e59a45e2f451", | ||
| 144 | "name": "3d model", | 167 | "name": "3d model", | ||
| 145 | "state": "active", | 168 | "state": "active", | ||
| 146 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
| 147 | }, | 170 | }, | ||
| 148 | { | 171 | { | ||
| 149 | "display_name": "Aerial Photography", | 172 | "display_name": "Aerial Photography", | ||
| 150 | "id": "8121b42e-b8d1-45e6-8167-556ed37f8676", | 173 | "id": "8121b42e-b8d1-45e6-8167-556ed37f8676", | ||
| 151 | "name": "Aerial Photography", | 174 | "name": "Aerial Photography", | ||
| 152 | "state": "active", | 175 | "state": "active", | ||
| 153 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
| 154 | }, | 177 | }, | ||
| 155 | { | 178 | { | ||
| 156 | "display_name": "DJI", | 179 | "display_name": "DJI", | ||
| 157 | "id": "13597037-5c7f-44af-ad61-414a85324dd0", | 180 | "id": "13597037-5c7f-44af-ad61-414a85324dd0", | ||
| 158 | "name": "DJI", | 181 | "name": "DJI", | ||
| 159 | "state": "active", | 182 | "state": "active", | ||
| 160 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
| 161 | }, | 184 | }, | ||
| 162 | { | 185 | { | ||
| 163 | "display_name": "aerial photos", | 186 | "display_name": "aerial photos", | ||
| 164 | "id": "43249042-cac9-448a-aa13-53710502ff06", | 187 | "id": "43249042-cac9-448a-aa13-53710502ff06", | ||
| 165 | "name": "aerial photos", | 188 | "name": "aerial photos", | ||
| 166 | "state": "active", | 189 | "state": "active", | ||
| 167 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
| 168 | }, | 191 | }, | ||
| 169 | { | 192 | { | ||
| 170 | "display_name": "air photos", | 193 | "display_name": "air photos", | ||
| 171 | "id": "c22a4991-6d90-424d-bb94-09a27c62c672", | 194 | "id": "c22a4991-6d90-424d-bb94-09a27c62c672", | ||
| 172 | "name": "air photos", | 195 | "name": "air photos", | ||
| 173 | "state": "active", | 196 | "state": "active", | ||
| 174 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
| 175 | }, | 198 | }, | ||
| 176 | { | 199 | { | ||
| 177 | "display_name": "digital elevation", | 200 | "display_name": "digital elevation", | ||
| 178 | "id": "7c204eed-dac5-4cf1-8880-6c16ce20a0ec", | 201 | "id": "7c204eed-dac5-4cf1-8880-6c16ce20a0ec", | ||
| 179 | "name": "digital elevation", | 202 | "name": "digital elevation", | ||
| 180 | "state": "active", | 203 | "state": "active", | ||
| 181 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
| 182 | }, | 205 | }, | ||
| 183 | { | 206 | { | ||
| 184 | "display_name": "digital terrain", | 207 | "display_name": "digital terrain", | ||
| 185 | "id": "1c3bb99a-a260-4be0-8d7d-8e03fdd55d48", | 208 | "id": "1c3bb99a-a260-4be0-8d7d-8e03fdd55d48", | ||
| 186 | "name": "digital terrain", | 209 | "name": "digital terrain", | ||
| 187 | "state": "active", | 210 | "state": "active", | ||
| 188 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
| 189 | }, | 212 | }, | ||
| 190 | { | 213 | { | ||
| 191 | "display_name": "drone", | 214 | "display_name": "drone", | ||
| 192 | "id": "e6ff3c24-49c2-4633-a280-d3e531edb421", | 215 | "id": "e6ff3c24-49c2-4633-a280-d3e531edb421", | ||
| 193 | "name": "drone", | 216 | "name": "drone", | ||
| 194 | "state": "active", | 217 | "state": "active", | ||
| 195 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
| 196 | }, | 219 | }, | ||
| 197 | { | 220 | { | ||
| 198 | "display_name": "dronedeploy", | 221 | "display_name": "dronedeploy", | ||
| 199 | "id": "63a1e094-65bb-4798-af64-4c844994335e", | 222 | "id": "63a1e094-65bb-4798-af64-4c844994335e", | ||
| 200 | "name": "dronedeploy", | 223 | "name": "dronedeploy", | ||
| 201 | "state": "active", | 224 | "state": "active", | ||
| 202 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
| 203 | }, | 226 | }, | ||
| 204 | { | 227 | { | ||
| 205 | "display_name": "geospatial analysis", | 228 | "display_name": "geospatial analysis", | ||
| 206 | "id": "271ca939-2c48-4420-8b98-5f190c8214d8", | 229 | "id": "271ca939-2c48-4420-8b98-5f190c8214d8", | ||
| 207 | "name": "geospatial analysis", | 230 | "name": "geospatial analysis", | ||
| 208 | "state": "active", | 231 | "state": "active", | ||
| 209 | "vocabulary_id": null | 232 | "vocabulary_id": null | ||
| 210 | }, | 233 | }, | ||
| 211 | { | 234 | { | ||
| 212 | "display_name": "image collections", | 235 | "display_name": "image collections", | ||
| 213 | "id": "682e2d5d-559a-4542-9f35-c7247f2e12f1", | 236 | "id": "682e2d5d-559a-4542-9f35-c7247f2e12f1", | ||
| 214 | "name": "image collections", | 237 | "name": "image collections", | ||
| 215 | "state": "active", | 238 | "state": "active", | ||
| 216 | "vocabulary_id": null | 239 | "vocabulary_id": null | ||
| 217 | }, | 240 | }, | ||
| 218 | { | 241 | { | ||
| 219 | "display_name": "orthoimagery", | 242 | "display_name": "orthoimagery", | ||
| 220 | "id": "77684197-a710-4c13-a428-d0a54b5204a7", | 243 | "id": "77684197-a710-4c13-a428-d0a54b5204a7", | ||
| 221 | "name": "orthoimagery", | 244 | "name": "orthoimagery", | ||
| 222 | "state": "active", | 245 | "state": "active", | ||
| 223 | "vocabulary_id": null | 246 | "vocabulary_id": null | ||
| 224 | }, | 247 | }, | ||
| 225 | { | 248 | { | ||
| 226 | "display_name": "point cloud data", | 249 | "display_name": "point cloud data", | ||
| 227 | "id": "edce342b-76b0-44b4-9ffd-8dc5a3b1df77", | 250 | "id": "edce342b-76b0-44b4-9ffd-8dc5a3b1df77", | ||
| 228 | "name": "point cloud data", | 251 | "name": "point cloud data", | ||
| 229 | "state": "active", | 252 | "state": "active", | ||
| 230 | "vocabulary_id": null | 253 | "vocabulary_id": null | ||
| 231 | }, | 254 | }, | ||
| 232 | { | 255 | { | ||
| 233 | "display_name": "reality capture", | 256 | "display_name": "reality capture", | ||
| 234 | "id": "a9f3d820-213c-45ac-ad48-782457d9e33c", | 257 | "id": "a9f3d820-213c-45ac-ad48-782457d9e33c", | ||
| 235 | "name": "reality capture", | 258 | "name": "reality capture", | ||
| 236 | "state": "active", | 259 | "state": "active", | ||
| 237 | "vocabulary_id": null | 260 | "vocabulary_id": null | ||
| 238 | } | 261 | } | ||
| 239 | ], | 262 | ], | ||
| 240 | "title": "Aerial Captured Data Beaumont-Port Arthur Region", | 263 | "title": "Aerial Captured Data Beaumont-Port Arthur Region", | ||
| 241 | "type": "dataset", | 264 | "type": "dataset", | ||
| 242 | "url": | 265 | "url": | ||
| 243 | "https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F1971120", | 266 | "https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F1971120", | ||
| 244 | "version": "" | 267 | "version": "" | ||
| 245 | } | 268 | } |
