Changes
On February 10, 2025 at 9:03:03 PM UTC,
-
Added resource Big Thicket 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": "2025-02-10T21:02:39.428011", | n | 22 | "metadata_modified": "2025-02-10T21:03:03.089318", |
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": 1, | n | 61 | "num_resources": 2, |
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.", | ||
71 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | 71 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
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": [ | ||
85 | { | 85 | { | ||
86 | "cache_last_updated": null, | 86 | "cache_last_updated": null, | ||
87 | "cache_url": null, | 87 | "cache_url": null, | ||
88 | "created": "2025-02-10T21:02:39.462458", | 88 | "created": "2025-02-10T21:02:39.462458", | ||
89 | "datastore_active": false, | 89 | "datastore_active": false, | ||
90 | "description": "", | 90 | "description": "", | ||
91 | "format": "", | 91 | "format": "", | ||
92 | "hash": "", | 92 | "hash": "", | ||
93 | "id": "e13d12b7-676d-490c-a67a-77073ed6f5ec", | 93 | "id": "e13d12b7-676d-490c-a67a-77073ed6f5ec", | ||
94 | "last_modified": null, | 94 | "last_modified": null, | ||
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98 | "name": "Resident Offices", | 98 | "name": "Resident Offices", | ||
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102 | "size": null, | 102 | "size": null, | ||
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121 | "name": "Big Thicket", | ||||
122 | "package_id": "50ce6b4f-ced1-4d2d-a0ba-396c8dd1f54e", | ||||
123 | "position": 1, | ||||
124 | "resource_type": null, | ||||
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106 | "url_type": null | 129 | "url_type": null | ||
107 | } | 130 | } | ||
108 | ], | 131 | ], | ||
109 | "state": "draft", | 132 | "state": "draft", | ||
110 | "tags": [ | 133 | "tags": [ | ||
111 | { | 134 | { | ||
112 | "display_name": "2d mapping", | 135 | "display_name": "2d mapping", | ||
113 | "id": "236aba08-4014-44e8-8905-6027cfd504e3", | 136 | "id": "236aba08-4014-44e8-8905-6027cfd504e3", | ||
114 | "name": "2d mapping", | 137 | "name": "2d mapping", | ||
115 | "state": "active", | 138 | "state": "active", | ||
116 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
117 | }, | 140 | }, | ||
118 | { | 141 | { | ||
119 | "display_name": "3d model", | 142 | "display_name": "3d model", | ||
120 | "id": "1001b276-df35-4514-8a72-e59a45e2f451", | 143 | "id": "1001b276-df35-4514-8a72-e59a45e2f451", | ||
121 | "name": "3d model", | 144 | "name": "3d model", | ||
122 | "state": "active", | 145 | "state": "active", | ||
123 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
124 | }, | 147 | }, | ||
125 | { | 148 | { | ||
126 | "display_name": "Aerial Photography", | 149 | "display_name": "Aerial Photography", | ||
127 | "id": "8121b42e-b8d1-45e6-8167-556ed37f8676", | 150 | "id": "8121b42e-b8d1-45e6-8167-556ed37f8676", | ||
128 | "name": "Aerial Photography", | 151 | "name": "Aerial Photography", | ||
129 | "state": "active", | 152 | "state": "active", | ||
130 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
131 | }, | 154 | }, | ||
132 | { | 155 | { | ||
133 | "display_name": "DJI", | 156 | "display_name": "DJI", | ||
134 | "id": "13597037-5c7f-44af-ad61-414a85324dd0", | 157 | "id": "13597037-5c7f-44af-ad61-414a85324dd0", | ||
135 | "name": "DJI", | 158 | "name": "DJI", | ||
136 | "state": "active", | 159 | "state": "active", | ||
137 | "vocabulary_id": null | 160 | "vocabulary_id": null | ||
138 | }, | 161 | }, | ||
139 | { | 162 | { | ||
140 | "display_name": "aerial photos", | 163 | "display_name": "aerial photos", | ||
141 | "id": "43249042-cac9-448a-aa13-53710502ff06", | 164 | "id": "43249042-cac9-448a-aa13-53710502ff06", | ||
142 | "name": "aerial photos", | 165 | "name": "aerial photos", | ||
143 | "state": "active", | 166 | "state": "active", | ||
144 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
145 | }, | 168 | }, | ||
146 | { | 169 | { | ||
147 | "display_name": "air photos", | 170 | "display_name": "air photos", | ||
148 | "id": "c22a4991-6d90-424d-bb94-09a27c62c672", | 171 | "id": "c22a4991-6d90-424d-bb94-09a27c62c672", | ||
149 | "name": "air photos", | 172 | "name": "air photos", | ||
150 | "state": "active", | 173 | "state": "active", | ||
151 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
152 | }, | 175 | }, | ||
153 | { | 176 | { | ||
154 | "display_name": "digital elevation", | 177 | "display_name": "digital elevation", | ||
155 | "id": "7c204eed-dac5-4cf1-8880-6c16ce20a0ec", | 178 | "id": "7c204eed-dac5-4cf1-8880-6c16ce20a0ec", | ||
156 | "name": "digital elevation", | 179 | "name": "digital elevation", | ||
157 | "state": "active", | 180 | "state": "active", | ||
158 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
159 | }, | 182 | }, | ||
160 | { | 183 | { | ||
161 | "display_name": "digital terrain", | 184 | "display_name": "digital terrain", | ||
162 | "id": "1c3bb99a-a260-4be0-8d7d-8e03fdd55d48", | 185 | "id": "1c3bb99a-a260-4be0-8d7d-8e03fdd55d48", | ||
163 | "name": "digital terrain", | 186 | "name": "digital terrain", | ||
164 | "state": "active", | 187 | "state": "active", | ||
165 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
166 | }, | 189 | }, | ||
167 | { | 190 | { | ||
168 | "display_name": "drone", | 191 | "display_name": "drone", | ||
169 | "id": "e6ff3c24-49c2-4633-a280-d3e531edb421", | 192 | "id": "e6ff3c24-49c2-4633-a280-d3e531edb421", | ||
170 | "name": "drone", | 193 | "name": "drone", | ||
171 | "state": "active", | 194 | "state": "active", | ||
172 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
173 | }, | 196 | }, | ||
174 | { | 197 | { | ||
175 | "display_name": "dronedeploy", | 198 | "display_name": "dronedeploy", | ||
176 | "id": "63a1e094-65bb-4798-af64-4c844994335e", | 199 | "id": "63a1e094-65bb-4798-af64-4c844994335e", | ||
177 | "name": "dronedeploy", | 200 | "name": "dronedeploy", | ||
178 | "state": "active", | 201 | "state": "active", | ||
179 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
180 | }, | 203 | }, | ||
181 | { | 204 | { | ||
182 | "display_name": "geospatial analysis", | 205 | "display_name": "geospatial analysis", | ||
183 | "id": "271ca939-2c48-4420-8b98-5f190c8214d8", | 206 | "id": "271ca939-2c48-4420-8b98-5f190c8214d8", | ||
184 | "name": "geospatial analysis", | 207 | "name": "geospatial analysis", | ||
185 | "state": "active", | 208 | "state": "active", | ||
186 | "vocabulary_id": null | 209 | "vocabulary_id": null | ||
187 | }, | 210 | }, | ||
188 | { | 211 | { | ||
189 | "display_name": "image collections", | 212 | "display_name": "image collections", | ||
190 | "id": "682e2d5d-559a-4542-9f35-c7247f2e12f1", | 213 | "id": "682e2d5d-559a-4542-9f35-c7247f2e12f1", | ||
191 | "name": "image collections", | 214 | "name": "image collections", | ||
192 | "state": "active", | 215 | "state": "active", | ||
193 | "vocabulary_id": null | 216 | "vocabulary_id": null | ||
194 | }, | 217 | }, | ||
195 | { | 218 | { | ||
196 | "display_name": "orthoimagery", | 219 | "display_name": "orthoimagery", | ||
197 | "id": "77684197-a710-4c13-a428-d0a54b5204a7", | 220 | "id": "77684197-a710-4c13-a428-d0a54b5204a7", | ||
198 | "name": "orthoimagery", | 221 | "name": "orthoimagery", | ||
199 | "state": "active", | 222 | "state": "active", | ||
200 | "vocabulary_id": null | 223 | "vocabulary_id": null | ||
201 | }, | 224 | }, | ||
202 | { | 225 | { | ||
203 | "display_name": "point cloud data", | 226 | "display_name": "point cloud data", | ||
204 | "id": "edce342b-76b0-44b4-9ffd-8dc5a3b1df77", | 227 | "id": "edce342b-76b0-44b4-9ffd-8dc5a3b1df77", | ||
205 | "name": "point cloud data", | 228 | "name": "point cloud data", | ||
206 | "state": "active", | 229 | "state": "active", | ||
207 | "vocabulary_id": null | 230 | "vocabulary_id": null | ||
208 | }, | 231 | }, | ||
209 | { | 232 | { | ||
210 | "display_name": "reality capture", | 233 | "display_name": "reality capture", | ||
211 | "id": "a9f3d820-213c-45ac-ad48-782457d9e33c", | 234 | "id": "a9f3d820-213c-45ac-ad48-782457d9e33c", | ||
212 | "name": "reality capture", | 235 | "name": "reality capture", | ||
213 | "state": "active", | 236 | "state": "active", | ||
214 | "vocabulary_id": null | 237 | "vocabulary_id": null | ||
215 | } | 238 | } | ||
216 | ], | 239 | ], | ||
217 | "title": "Aerial Captured Data Beaumont-Port Arthur Region", | 240 | "title": "Aerial Captured Data Beaumont-Port Arthur Region", | ||
218 | "type": "dataset", | 241 | "type": "dataset", | ||
219 | "url": | 242 | "url": | ||
220 | "https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F1971120", | 243 | "https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F1971120", | ||
221 | "version": "" | 244 | "version": "" | ||
222 | } | 245 | } |