Changes
On October 26, 2021 at 9:04:34 AM UTC, Heiko Figgemeier:
-
Added resource https://www.gaez.iiasa.ac.at/w/ctrl?_flow=Vwr&_view=Welcome&idAS=0&idFS=0&fieldmain=main_&idPS=0 to GAEZ Global Agro-ecological Zones v3.0
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "conforms_to": "http://www.opengis.net/def/crs/EPSG/0/4326", | 4 | "conforms_to": "http://www.opengis.net/def/crs/EPSG/0/4326", | ||
5 | "contact_name": "Food and Agriculture Organization of the United | 5 | "contact_name": "Food and Agriculture Organization of the United | ||
6 | Nations (FAO)", | 6 | Nations (FAO)", | ||
7 | "creator_user_id": "f96ad893-f291-40eb-b0f3-5bef533dcc1e", | 7 | "creator_user_id": "f96ad893-f291-40eb-b0f3-5bef533dcc1e", | ||
8 | "documentation": | 8 | "documentation": | ||
9 | .iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_Model_Documentation.pdf", | 9 | .iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_Model_Documentation.pdf", | ||
10 | "groups": [], | 10 | "groups": [], | ||
11 | "id": "26d153ba-70d4-4c4a-a1a9-988a9086a370", | 11 | "id": "26d153ba-70d4-4c4a-a1a9-988a9086a370", | ||
12 | "is_part_of": "", | 12 | "is_part_of": "", | ||
13 | "is_version_of": "", | 13 | "is_version_of": "", | ||
14 | "isopen": false, | 14 | "isopen": false, | ||
15 | "license_id": "", | 15 | "license_id": "", | ||
16 | "license_title": "", | 16 | "license_title": "", | ||
17 | "maintainer": null, | 17 | "maintainer": null, | ||
18 | "maintainer_email": null, | 18 | "maintainer_email": null, | ||
19 | "metadata_created": "2021-04-30T13:59:40.610111", | 19 | "metadata_created": "2021-04-30T13:59:40.610111", | ||
n | 20 | "metadata_modified": "2021-10-18T10:25:40.542519", | n | 20 | "metadata_modified": "2021-10-26T09:04:34.226471", |
21 | "name": "potyield", | 21 | "name": "potyield", | ||
22 | "notes": "\"The Agro\u2010Ecological Zones (AEZ) approach is based | 22 | "notes": "\"The Agro\u2010Ecological Zones (AEZ) approach is based | ||
23 | on principles of land evaluation (FAO 1976, 1984 and 2007). The AEZ | 23 | on principles of land evaluation (FAO 1976, 1984 and 2007). The AEZ | ||
24 | concept was originally developed by the Food and Agriculture | 24 | concept was originally developed by the Food and Agriculture | ||
25 | organization of the United Nations (FAO). FAO, with the collaboration | 25 | organization of the United Nations (FAO). FAO, with the collaboration | ||
26 | of IIASA has over time, further developed and applied the AEZ | 26 | of IIASA has over time, further developed and applied the AEZ | ||
27 | methodology, supporting databases and software packages. The current | 27 | methodology, supporting databases and software packages. The current | ||
28 | Global AEZ (GAEZ v 3.0) provides a major update of data and extension | 28 | Global AEZ (GAEZ v 3.0) provides a major update of data and extension | ||
29 | of the methodology compared to the release of GAEZ in 2002 (Fischer, | 29 | of the methodology compared to the release of GAEZ in 2002 (Fischer, | ||
30 | et. al., 2002). GAEZ v 3.0 incorporates two important new global data | 30 | et. al., 2002). GAEZ v 3.0 incorporates two important new global data | ||
31 | sets on \u201cActual Yield and Production\u2019 and \u201cYield and | 31 | sets on \u201cActual Yield and Production\u2019 and \u201cYield and | ||
32 | Production Gaps\u201d between potentials and actual yield and | 32 | Production Gaps\u201d between potentials and actual yield and | ||
33 | production. Geo\u2010referenced global climate, soil and terrain data | 33 | production. Geo\u2010referenced global climate, soil and terrain data | ||
34 | are combined into a land resources database, commonly assembled on the | 34 | are combined into a land resources database, commonly assembled on the | ||
35 | basis of global grids, typically at 5 arc\u2010minute and 30 | 35 | basis of global grids, typically at 5 arc\u2010minute and 30 | ||
36 | arc\u2010second resolutions. Climatic data comprises precipitation, | 36 | arc\u2010second resolutions. Climatic data comprises precipitation, | ||
37 | temperature, wind speed, sunshine hours and relative humidity, which | 37 | temperature, wind speed, sunshine hours and relative humidity, which | ||
38 | are used to compile agronomically meaningful climate resources | 38 | are used to compile agronomically meaningful climate resources | ||
39 | inventories including quantified thermal and moisture regimes in space | 39 | inventories including quantified thermal and moisture regimes in space | ||
40 | and time.\" <br> \r\n*Fischer, G.; Nachtergaele, F. O.; Prieler, S.; | 40 | and time.\" <br> \r\n*Fischer, G.; Nachtergaele, F. O.; Prieler, S.; | ||
41 | Teixeira, E.; Toth, G.; van Velthuizen, H. et al. (2016): Global | 41 | Teixeira, E.; Toth, G.; van Velthuizen, H. et al. (2016): Global | ||
42 | Agro-ecological Zones (GAEZ v3.0) - Model Documentation.*\r\n", | 42 | Agro-ecological Zones (GAEZ v3.0) - Model Documentation.*\r\n", | ||
n | 43 | "num_resources": 0, | n | 43 | "num_resources": 1, |
44 | "num_tags": 2, | 44 | "num_tags": 2, | ||
45 | "organization": { | 45 | "organization": { | ||
46 | "approval_status": "approved", | 46 | "approval_status": "approved", | ||
47 | "created": "2021-01-08T11:55:37.205088", | 47 | "created": "2021-01-08T11:55:37.205088", | ||
48 | "description": "", | 48 | "description": "", | ||
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50 | "image_url": | 50 | "image_url": | ||
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52 | "is_organization": true, | 52 | "is_organization": true, | ||
53 | "name": "tud", | 53 | "name": "tud", | ||
54 | "state": "active", | 54 | "state": "active", | ||
55 | "title": "TUD", | 55 | "title": "TUD", | ||
56 | "type": "organization" | 56 | "type": "organization" | ||
57 | }, | 57 | }, | ||
58 | "owner_org": "594a3901-9ffa-4e91-b828-84f89554ab4c", | 58 | "owner_org": "594a3901-9ffa-4e91-b828-84f89554ab4c", | ||
59 | "private": false, | 59 | "private": false, | ||
60 | "quality_metrics": | 60 | "quality_metrics": | ||
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62 | Ommission as Number of Missing Items\",\"values\":{\"value of quality | 62 | Ommission as Number of Missing Items\",\"values\":{\"value of quality | ||
63 | metric\":\"8713437\",\"ground truth dataset\":\"\",\"confidence | 63 | metric\":\"8713437\",\"ground truth dataset\":\"\",\"confidence | ||
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65 | representativity\":\"\",\"spatial | 65 | representativity\":\"\",\"spatial | ||
66 | representativity\":\"global\",\"temporal | 66 | representativity\":\"global\",\"temporal | ||
67 | representativity\":\"\",\"name of quality | 67 | representativity\":\"\",\"name of quality | ||
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69 | source\":\"software\",\"link to quality | 69 | source\":\"software\",\"link to quality | ||
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71 | Ommission as Rate of Missing Items\",\"values\":{\"value of quality | 71 | Ommission as Rate of Missing Items\",\"values\":{\"value of quality | ||
72 | metric\":\"96.8074\",\"ground truth dataset\":\"\",\"confidence | 72 | metric\":\"96.8074\",\"ground truth dataset\":\"\",\"confidence | ||
73 | term\":\"\",\"confidence value\":\"\",\"thematic | 73 | term\":\"\",\"confidence value\":\"\",\"thematic | ||
74 | representativity\":\"\",\"spatial | 74 | representativity\":\"\",\"spatial | ||
75 | representativity\":\"global\",\"temporal | 75 | representativity\":\"global\",\"temporal | ||
76 | representativity\":\"\",\"name of quality | 76 | representativity\":\"\",\"name of quality | ||
77 | source\":\"MetadataFromGeodata Extraction Tool\",\"type of quality | 77 | source\":\"MetadataFromGeodata Extraction Tool\",\"type of quality | ||
78 | source\":\"software\",\"link to quality | 78 | source\":\"software\",\"link to quality | ||
79 | nsistencyAsValuePhysicalStructureConflictsNumber\":{\"label\":\"Format | 79 | nsistencyAsValuePhysicalStructureConflictsNumber\":{\"label\":\"Format | ||
80 | Consistency as Value Physical Structure Conflicts | 80 | Consistency as Value Physical Structure Conflicts | ||
81 | Number\",\"values\":{\"value of quality metric\":\"true\",\"ground | 81 | Number\",\"values\":{\"value of quality metric\":\"true\",\"ground | ||
82 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | 82 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | ||
83 | value\":\"\",\"thematic representativity\":\"\",\"spatial | 83 | value\":\"\",\"thematic representativity\":\"\",\"spatial | ||
84 | representativity\":\"\",\"temporal representativity\":\"\",\"name of | 84 | representativity\":\"\",\"temporal representativity\":\"\",\"name of | ||
85 | quality source\":\"MetadataFromGeodata Extraction Tool\",\"type of | 85 | quality source\":\"MetadataFromGeodata Extraction Tool\",\"type of | ||
86 | quality source\":\"software\",\"link to quality | 86 | quality source\":\"software\",\"link to quality | ||
87 | es/quality-elements#temporalConsistencyAsValue\":{\"label\":\"Temporal | 87 | es/quality-elements#temporalConsistencyAsValue\":{\"label\":\"Temporal | ||
88 | Consistency as Value\",\"values\":{\"value of quality | 88 | Consistency as Value\",\"values\":{\"value of quality | ||
89 | metric\":\"false\",\"ground truth dataset\":\"\",\"confidence | 89 | metric\":\"false\",\"ground truth dataset\":\"\",\"confidence | ||
90 | term\":\"\",\"confidence value\":\"\",\"thematic | 90 | term\":\"\",\"confidence value\":\"\",\"thematic | ||
91 | representativity\":\"\",\"spatial representativity\":\"\",\"temporal | 91 | representativity\":\"\",\"spatial representativity\":\"\",\"temporal | ||
92 | representativity\":\"\",\"name of quality source\":\"\",\"type of | 92 | representativity\":\"\",\"name of quality source\":\"\",\"type of | ||
93 | quality source\":\"manual analysis\",\"link to quality | 93 | quality source\":\"manual analysis\",\"link to quality | ||
94 | ributeAccuracyasCoefficientofDetermination\":{\"label\":\"Quantitative | 94 | ributeAccuracyasCoefficientofDetermination\":{\"label\":\"Quantitative | ||
95 | Attribute Accuracy as Coefficient of Determination | 95 | Attribute Accuracy as Coefficient of Determination | ||
96 | (R\u00b2)\",\"values\":{\"value of quality metric\":\"0.75\",\"ground | 96 | (R\u00b2)\",\"values\":{\"value of quality metric\":\"0.75\",\"ground | ||
97 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | 97 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | ||
98 | value\":\"\",\"thematic representativity\":\"\",\"spatial | 98 | value\":\"\",\"thematic representativity\":\"\",\"spatial | ||
99 | representativity\":\"global\",\"temporal | 99 | representativity\":\"global\",\"temporal | ||
100 | representativity\":\"\",\"name of quality source\":\"Spatio-Temporal | 100 | representativity\":\"\",\"name of quality source\":\"Spatio-Temporal | ||
101 | Dynamics of Maize Potential Yield and Yield Gaps in Northeast China | 101 | Dynamics of Maize Potential Yield and Yield Gaps in Northeast China | ||
102 | from 1990 to 2015\",\"type of quality source\":\"publication\",\"link | 102 | from 1990 to 2015\",\"type of quality source\":\"publication\",\"link | ||
103 | to quality | 103 | to quality | ||
104 | ource\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480490/\"}}}", | 104 | ource\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480490/\"}}}", | ||
105 | "relationships_as_object": [], | 105 | "relationships_as_object": [], | ||
106 | "relationships_as_subject": [], | 106 | "relationships_as_subject": [], | ||
t | 107 | "resources": [], | t | 107 | "resources": [ |
108 | { | ||||
109 | "cache_last_updated": null, | ||||
110 | "cache_url": null, | ||||
111 | "created": "2021-10-26T09:04:34.249965", | ||||
112 | "datastore_active": false, | ||||
113 | "description": "", | ||||
114 | "format": "geotiff", | ||||
115 | "hash": "", | ||||
116 | "id": "4708039e-8bd8-4675-8623-ecd4b94d1b4b", | ||||
117 | "last_modified": null, | ||||
118 | "license": | ||||
119 | ebarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_User_Guide.pdf", | ||||
120 | "metadata_modified": "2021-10-26T09:04:34.236730", | ||||
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122 | "mimetype_inner": null, | ||||
123 | "name": | ||||
124 | /w/ctrl?_flow=Vwr&_view=Welcome&idAS=0&idFS=0&fieldmain=main_&idPS=0", | ||||
125 | "package_id": "26d153ba-70d4-4c4a-a1a9-988a9086a370", | ||||
126 | "position": 0, | ||||
127 | "resource_type": null, | ||||
128 | "size": null, | ||||
129 | "state": "active", | ||||
130 | "url": | ||||
131 | /w/ctrl?_flow=Vwr&_view=Welcome&idAS=0&idFS=0&fieldmain=main_&idPS=0", | ||||
132 | "url_type": null | ||||
133 | } | ||||
134 | ], | ||||
108 | "spatial": | 135 | "spatial": | ||
109 | 7],[188.4375,-85.05112877980659],[-170.15625,-85.05112877980659]]]]}", | 136 | 7],[188.4375,-85.05112877980659],[-170.15625,-85.05112877980659]]]]}", | ||
110 | "spatial_resolution": "0.08333", | 137 | "spatial_resolution": "0.08333", | ||
111 | "spatial_resolution_type": "angular", | 138 | "spatial_resolution_type": "angular", | ||
112 | "state": "active", | 139 | "state": "active", | ||
113 | "tags": [ | 140 | "tags": [ | ||
114 | { | 141 | { | ||
115 | "display_name": "Agriculture", | 142 | "display_name": "Agriculture", | ||
116 | "id": "089ec053-0d26-4c21-becd-40b02c26f0c0", | 143 | "id": "089ec053-0d26-4c21-becd-40b02c26f0c0", | ||
117 | "name": "Agriculture", | 144 | "name": "Agriculture", | ||
118 | "state": "active", | 145 | "state": "active", | ||
119 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
120 | }, | 147 | }, | ||
121 | { | 148 | { | ||
122 | "display_name": "Ecology", | 149 | "display_name": "Ecology", | ||
123 | "id": "eeca70af-a1af-4503-a8f0-c0cba6abd056", | 150 | "id": "eeca70af-a1af-4503-a8f0-c0cba6abd056", | ||
124 | "name": "Ecology", | 151 | "name": "Ecology", | ||
125 | "state": "active", | 152 | "state": "active", | ||
126 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
127 | } | 154 | } | ||
128 | ], | 155 | ], | ||
129 | "temporal_end": "2000-01-01", | 156 | "temporal_end": "2000-01-01", | ||
130 | "temporal_resolution": "", | 157 | "temporal_resolution": "", | ||
131 | "temporal_start": "1961-01-01", | 158 | "temporal_start": "1961-01-01", | ||
132 | "theme": "https://inspire.ec.europa.eu/theme/af", | 159 | "theme": "https://inspire.ec.europa.eu/theme/af", | ||
133 | "title": "GAEZ Global Agro-ecological Zones v3.0", | 160 | "title": "GAEZ Global Agro-ecological Zones v3.0", | ||
134 | "type": "dataset", | 161 | "type": "dataset", | ||
135 | "uri": | 162 | "uri": | ||
136 | r-dmp.geo.tu-dresden.de/dataset/26d153ba-70d4-4c4a-a1a9-988a9086a370", | 163 | r-dmp.geo.tu-dresden.de/dataset/26d153ba-70d4-4c4a-a1a9-988a9086a370", | ||
137 | "url": "https://webarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/, | 164 | "url": "https://webarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/, | ||
138 | ebarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_User_Guide.pdf", | 165 | ebarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_User_Guide.pdf", | ||
139 | "version": null, | 166 | "version": null, | ||
140 | "was_derived_from": "" | 167 | "was_derived_from": "" | ||
141 | } | 168 | } |