Changes
On November 29, 2023 at 11:14:42 PM UTC, Hannah Kerner:
-
Added field
upload_in_progress
with valueTrue
to resource prj-clip-Ethiopia_Tigray_2021_threshold-3-5.tif in Annual and Change Maps for Tigray 2020-2021
f | 1 | { | f | 1 | { |
2 | "author": "Hannah Kerner", | 2 | "author": "Hannah Kerner", | ||
3 | "author_email": "hkerner@asu.edu", | 3 | "author_email": "hkerner@asu.edu", | ||
4 | "creator_user_id": "bfe955e4-8fe3-4f17-b292-7af5e8eede3a", | 4 | "creator_user_id": "bfe955e4-8fe3-4f17-b292-7af5e8eede3a", | ||
5 | "extras": [], | 5 | "extras": [], | ||
6 | "groups": [], | 6 | "groups": [], | ||
7 | "id": "c08172bc-462f-408d-8578-d7f9148043a8", | 7 | "id": "c08172bc-462f-408d-8578-d7f9148043a8", | ||
8 | "isopen": true, | 8 | "isopen": true, | ||
9 | "license_id": "cc-by-sa", | 9 | "license_id": "cc-by-sa", | ||
10 | "license_title": "Creative Commons Attribution Share-Alike", | 10 | "license_title": "Creative Commons Attribution Share-Alike", | ||
11 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | 11 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | ||
12 | "maintainer": "", | 12 | "maintainer": "", | ||
13 | "maintainer_email": "", | 13 | "maintainer_email": "", | ||
14 | "metadata_created": "2023-11-29T23:10:47.076434", | 14 | "metadata_created": "2023-11-29T23:10:47.076434", | ||
n | 15 | "metadata_modified": "2023-11-29T23:14:42.172951", | n | 15 | "metadata_modified": "2023-11-29T23:14:42.561445", |
16 | "name": "annual-and-change-maps-for-tigray-2020-2021", | 16 | "name": "annual-and-change-maps-for-tigray-2020-2021", | ||
17 | "notes": "This dataset contains:\r\n- Annual cropland map for the | 17 | "notes": "This dataset contains:\r\n- Annual cropland map for the | ||
18 | years 2020 and 2021 in Tigray, Ethiopia based on satellite remote | 18 | years 2020 and 2021 in Tigray, Ethiopia based on satellite remote | ||
19 | sensing data and machine learning classification\r\n- Cropland change | 19 | sensing data and machine learning classification\r\n- Cropland change | ||
20 | map for years 2020-2021 based on combining above annual maps\r\n- | 20 | map for years 2020-2021 based on combining above annual maps\r\n- | ||
21 | Labeled datasets used for validation (used for model iteration) and | 21 | Labeled datasets used for validation (used for model iteration) and | ||
22 | testing (used to report final model accuracy) for 2020 and 2021 annual | 22 | testing (used to report final model accuracy) for 2020 and 2021 annual | ||
23 | maps", | 23 | maps", | ||
24 | "num_resources": 2, | 24 | "num_resources": 2, | ||
25 | "num_tags": 4, | 25 | "num_tags": 4, | ||
26 | "organization": { | 26 | "organization": { | ||
27 | "approval_status": "approved", | 27 | "approval_status": "approved", | ||
28 | "created": "2020-08-12T19:31:32.922429", | 28 | "created": "2020-08-12T19:31:32.922429", | ||
29 | "description": "### NASA Harvest is NASA\u2019s Food Security and | 29 | "description": "### NASA Harvest is NASA\u2019s Food Security and | ||
30 | Agriculture Program.\r\n\r\nOur mission is to enable and advance | 30 | Agriculture Program.\r\n\r\nOur mission is to enable and advance | ||
31 | adoption of satellite Earth observations by public and private | 31 | adoption of satellite Earth observations by public and private | ||
32 | organizations to benefit food security, agriculture, and human and | 32 | organizations to benefit food security, agriculture, and human and | ||
33 | environmental resiliency in the US and worldwide.\r\nWe accomplish | 33 | environmental resiliency in the US and worldwide.\r\nWe accomplish | ||
34 | this through a multidisciplinary and multisectoral Consortium of | 34 | this through a multidisciplinary and multisectoral Consortium of | ||
35 | leading scientists and agricultural stakeholders, led and implemented | 35 | leading scientists and agricultural stakeholders, led and implemented | ||
36 | by the University of Maryland.\r\n\r\nhttps://nasaharvest.org/\r\n", | 36 | by the University of Maryland.\r\n\r\nhttps://nasaharvest.org/\r\n", | ||
37 | "id": "d81e9aad-28be-4ce0-8c23-827e38671c3d", | 37 | "id": "d81e9aad-28be-4ce0-8c23-827e38671c3d", | ||
38 | "image_url": "2022-11-13-223324.873558harvestlogo1811.png", | 38 | "image_url": "2022-11-13-223324.873558harvestlogo1811.png", | ||
39 | "is_organization": true, | 39 | "is_organization": true, | ||
40 | "name": "nasa-harvest", | 40 | "name": "nasa-harvest", | ||
41 | "state": "active", | 41 | "state": "active", | ||
42 | "title": "NASA Harvest", | 42 | "title": "NASA Harvest", | ||
43 | "type": "organization" | 43 | "type": "organization" | ||
44 | }, | 44 | }, | ||
45 | "owner_org": "d81e9aad-28be-4ce0-8c23-827e38671c3d", | 45 | "owner_org": "d81e9aad-28be-4ce0-8c23-827e38671c3d", | ||
46 | "private": false, | 46 | "private": false, | ||
47 | "relationships_as_object": [], | 47 | "relationships_as_object": [], | ||
48 | "relationships_as_subject": [], | 48 | "relationships_as_subject": [], | ||
49 | "resources": [ | 49 | "resources": [ | ||
50 | { | 50 | { | ||
51 | "cache_last_updated": null, | 51 | "cache_last_updated": null, | ||
52 | "cache_url": null, | 52 | "cache_url": null, | ||
53 | "created": "2023-11-29T23:11:56.685208", | 53 | "created": "2023-11-29T23:11:56.685208", | ||
54 | "datastore_active": false, | 54 | "datastore_active": false, | ||
55 | "description": "2020 cropland map", | 55 | "description": "2020 cropland map", | ||
56 | "format": "geotiff", | 56 | "format": "geotiff", | ||
57 | "hash": "", | 57 | "hash": "", | ||
58 | "id": "f34dfea8-e985-4202-8612-7dda916c762e", | 58 | "id": "f34dfea8-e985-4202-8612-7dda916c762e", | ||
59 | "last_modified": null, | 59 | "last_modified": null, | ||
60 | "metadata_modified": "2023-11-29T23:11:57.153791", | 60 | "metadata_modified": "2023-11-29T23:11:57.153791", | ||
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63 | "name": "prj-clip-Ethiopia_Tigray_2020_threshold-3-5.tif", | 63 | "name": "prj-clip-Ethiopia_Tigray_2020_threshold-3-5.tif", | ||
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67 | "size": 1108982668, | 67 | "size": 1108982668, | ||
68 | "state": "active", | 68 | "state": "active", | ||
69 | "upload_in_progress": true, | 69 | "upload_in_progress": true, | ||
70 | "url": | 70 | "url": | ||
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72 | "url_type": "upload" | 72 | "url_type": "upload" | ||
73 | }, | 73 | }, | ||
74 | { | 74 | { | ||
75 | "cache_last_updated": null, | 75 | "cache_last_updated": null, | ||
76 | "cache_url": null, | 76 | "cache_url": null, | ||
77 | "created": "2023-11-29T23:14:42.189318", | 77 | "created": "2023-11-29T23:14:42.189318", | ||
78 | "datastore_active": false, | 78 | "datastore_active": false, | ||
79 | "description": "2020 cropland map", | 79 | "description": "2020 cropland map", | ||
80 | "format": "geotiff", | 80 | "format": "geotiff", | ||
81 | "hash": "", | 81 | "hash": "", | ||
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92 | "state": "active", | 92 | "state": "active", | ||
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93 | "url": | 94 | "url": | ||
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95 | "url_type": "upload" | 96 | "url_type": "upload" | ||
96 | } | 97 | } | ||
97 | ], | 98 | ], | ||
98 | "state": "draft", | 99 | "state": "draft", | ||
99 | "tags": [ | 100 | "tags": [ | ||
100 | { | 101 | { | ||
101 | "display_name": "agriculture", | 102 | "display_name": "agriculture", | ||
102 | "id": "bc5055a2-4fbf-405b-ae32-32eb0beb7d96", | 103 | "id": "bc5055a2-4fbf-405b-ae32-32eb0beb7d96", | ||
103 | "name": "agriculture", | 104 | "name": "agriculture", | ||
104 | "state": "active", | 105 | "state": "active", | ||
105 | "vocabulary_id": null | 106 | "vocabulary_id": null | ||
106 | }, | 107 | }, | ||
107 | { | 108 | { | ||
108 | "display_name": "food security", | 109 | "display_name": "food security", | ||
109 | "id": "94de7fee-f614-4c66-bf36-c031bb2e2bcd", | 110 | "id": "94de7fee-f614-4c66-bf36-c031bb2e2bcd", | ||
110 | "name": "food security", | 111 | "name": "food security", | ||
111 | "state": "active", | 112 | "state": "active", | ||
112 | "vocabulary_id": null | 113 | "vocabulary_id": null | ||
113 | }, | 114 | }, | ||
114 | { | 115 | { | ||
115 | "display_name": "machine learning", | 116 | "display_name": "machine learning", | ||
116 | "id": "3236e426-3f20-4f8b-8691-05e8f2972b4f", | 117 | "id": "3236e426-3f20-4f8b-8691-05e8f2972b4f", | ||
117 | "name": "machine learning", | 118 | "name": "machine learning", | ||
118 | "state": "active", | 119 | "state": "active", | ||
119 | "vocabulary_id": null | 120 | "vocabulary_id": null | ||
120 | }, | 121 | }, | ||
121 | { | 122 | { | ||
122 | "display_name": "remote sensing", | 123 | "display_name": "remote sensing", | ||
123 | "id": "2311a5b0-12df-406e-92f5-e1686668644f", | 124 | "id": "2311a5b0-12df-406e-92f5-e1686668644f", | ||
124 | "name": "remote sensing", | 125 | "name": "remote sensing", | ||
125 | "state": "active", | 126 | "state": "active", | ||
126 | "vocabulary_id": null | 127 | "vocabulary_id": null | ||
127 | } | 128 | } | ||
128 | ], | 129 | ], | ||
129 | "title": "Annual and Change Maps for Tigray 2020-2021", | 130 | "title": "Annual and Change Maps for Tigray 2020-2021", | ||
130 | "type": "dataset", | 131 | "type": "dataset", | ||
131 | "url": "", | 132 | "url": "", | ||
132 | "version": "" | 133 | "version": "" | ||
133 | } | 134 | } |