ለውጦች

              
    

          
          
        
        

            
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,
            
n
95
      "metadata_modified": "2025-02-10T21:02:39.434308",
n
95
      "metadata_modified": "2025-02-10T21:03:03.094726",
            
96
      "mimetype": null,
96
      "mimetype": null,
            
97
      "mimetype_inner": null,
97
      "mimetype_inner": null,
            
98
      "name": "Resident Offices",
98
      "name": "Resident Offices",
            
99
      "package_id": "50ce6b4f-ced1-4d2d-a0ba-396c8dd1f54e",
99
      "package_id": "50ce6b4f-ced1-4d2d-a0ba-396c8dd1f54e",
            
100
      "position": 0,
100
      "position": 0,
            
101
      "resource_type": null,
101
      "resource_type": null,
            
102
      "size": null,
102
      "size": null,
            
103
      "state": "active",
103
      "state": "active",
            
104
      "url": 
104
      "url": 
            
105
/catalog/d1/mn/v2/object/ess-dive-709dd781442ae53-20230410T152118019",
105
/catalog/d1/mn/v2/object/ess-dive-709dd781442ae53-20230410T152118019",
            
t
t
106
      "url_type": null
            
107
    },
            
108
    {
            
109
      "cache_last_updated": null,
            
110
      "cache_url": null,
            
111
      "created": "2025-02-10T21:03:03.122221",
            
112
      "datastore_active": false,
            
113
      "description": "",
            
114
      "format": "",
            
115
      "hash": "",
            
116
      "id": "d60901e1-d15e-4655-8314-e60ed6eba858",
            
117
      "last_modified": null,
            
118
      "metadata_modified": "2025-02-10T21:03:03.094951",
            
119
      "mimetype": null,
            
120
      "mimetype_inner": null,
            
121
      "name": "Big Thicket",
            
122
      "package_id": "50ce6b4f-ced1-4d2d-a0ba-396c8dd1f54e",
            
123
      "position": 1,
            
124
      "resource_type": null,
            
125
      "size": null,
            
126
      "state": "active",
            
127
      "url": 
            
128
/catalog/d1/mn/v2/object/ess-dive-66ff0700d01a609-20230410T151124406",
            
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
}