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Merge pull request #267 from FAIRiCUBE/stac-dist-city-features-collec
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ChangeType.update stac_dist/city_features_collection/city_features_collection.json
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mari-s4e authored Jul 4, 2024
2 parents e76867b + 29d4371 commit 6009c0b
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150 changes: 150 additions & 0 deletions stac_dist/city_features_collection/city_features_collection.json
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{
"type": "Feature",
"stac_version": "1.0.0",
"id": "city_features_collection",
"properties": {
"license": "CC-BY-4.0",
"description": "A collection of features for ~700 European cities, for the reference year 2018. The features are divided in three main thematic areas: land, climate and socioeconomic characteristics. In the current version it contains the following features:\n\n- environmental zone\n- city area ha\n- dem mean\n- imd percent 2018\n- treecover percent 2018\u00b4\n- Urban Atlas 2018 class 11100\n- Urban Atlas 2018 class 11210\n- Urban Atlas 2018 class 11220\n- Urban Atlas 2018 class 11230\n- Urban Atlas 2018 class 11240\n- Urban Atlas 2018 class 11300\n- Urban Atlas 2018 class 12100\n- Urban Atlas 2018 class 12210\n- Urban Atlas 2018 class 12220\n- Urban Atlas 2018 class 12230\n- Urban Atlas 2018 class 12300\n- Urban Atlas 2018 class 12400\n- Urban Atlas 2018 class 13100\n- Urban Atlas 2018 class 13300\n- Urban Atlas 2018 class 13400\n- Urban Atlas 2018 class 14100\n- Urban Atlas 2018 class 14200\n- Urban Atlas 2018 class 21000\n- Urban Atlas 2018 class 22000\n- Urban Atlas 2018 class 23000\n- Urban Atlas 2018 class 24000\n- Urban Atlas 2018 class 25000\n- Urban Atlas 2018 class 31000\n- Urban Atlas 2018 class 32000\n- Urban Atlas 2018 class 33000\n- Urban Atlas 2018 class 40000\n- Urban Atlas 2018 class 50000\n- urban blue percent\n- urban green percent\n- avg 2m temp kelvin 2018\n- number of summer days 2018\n- number of tropical nights 2018\n- utci heat nights 2018\n- coastal city\n- ESTAT de1001v 2018\n- ESTAT de1028v 2018\n- ESTAT de1055v 2018\n- ESTAT ec1174v 2018\n- ESTAT ec1010v 2018\n- ESTAT ec1020i 2018\n- ESTAT ec3040v 2018\n- ESTAT sa2013v 2018\n- ESTAT de1028i 2018\n- ESTAT de1055i 2018",
"providers": [
{
"organization": "FAIRiCUBE - Use Case 1",
"comments": "Use Case 1 team processed and consolidated data from different data sources into this unique dataset.",
"doc_link": "https://github.com/FAIRiCUBE/uc1-urban-climate",
"roles": "processor",
"project_purpose": "Urban adaptation to climate change"
}
],
"dataSource": "https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/data/city_features_collection/city_features_collection_v0.1.geojson",
"cube:dimensions": {
"x": {
"axis": "x",
"extent": [
-61.119105,
55.5130685
],
"reference_system": "EPSG:4326",
"type": "spatial",
"unit": "degree",
"interpolation": "one value per city",
"step": "1"
},
"y": {
"axis": "y",
"extent": [
-21.3035115,
65.564344
],
"reference_system": "EPSG:4326",
"type": "spatial",
"unit": "degree",
"interpolation": "one value per city",
"step": "1"
},
"time": {
"extent": [
"2024-04-18T00:00Z",
"2018-12-31T00:00Z"
],
"type": "temporal",
"step": "P1Y0M0DT0H0M0S",
"unit": "year"
},
"z": {
"extent": [
null,
null
],
"type": "spatial"
}
},
"datetime": "2024-04-15T13:38:32Z",
"raster:bands": [
{
"band_name": "city area ha",
"unit": "ha",
"data_type": "int16",
"nodata": -999,
"definition": "Area in hectares of the core city",
"description": "Area in hectares of the core city. Core city boundary is defined by Urban Audit"
},
{
"band_name": "environmental_zone",
"unit": "categorical",
"data_type": "other",
"nodata": -999,
"definition": "Environmental zone to which the city belongs",
"description": "Environmental zone to which the city belongs",
"category_list": "ALN BOR NEM ATN ALS CON ATC PAN LUS ANA MDM MDN MDS MAC ARC",
"comment": "Codelist: https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/data/city_features_collection/codelist_environmental_zones.csv"
}
],
"title": "City features collection",
"datasource_type": "geojson",
"keywords": "eu cities, urban atlas, land, climate, socioeconomic, estat",
"documentation": "https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/data/city_features_collection/city_features_collection_codebook.csv",
"crs": "EPSG:4326",
"start_datetime": "2024-04-18T00:00Z",
"end_datetime": "2018-12-31T00:00Z",
"personalData": "no personal data",
"preprocessing": "Refer to the codebook for a complete description.",
"source_data": "https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/data/city_features_collection",
"apis": "No API. The dataset can be downloaded from Github or Zenodo, or the github repository (including example Notebooks) can be cloned",
"access_control": "no access control",
"modification": null,
"provision": "2024-04-15T13:38:52Z",
"use_case_S4E": "1",
"platform": "Eox"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-61.119105,
-21.3035115
],
[
-61.119105,
65.564344
],
[
55.5130685,
65.564344
],
[
55.5130685,
-21.3035115
],
[
-61.119105,
-21.3035115
]
]
]
},
"links": [
{
"rel": "root",
"href": "../catalog.json",
"type": "application/json",
"title": "data-access catalog"
},
{
"rel": "parent",
"href": "../catalog.json",
"type": "application/json",
"title": "data-access catalog"
}
],
"assets": {},
"bbox": [
-61.119105,
-21.3035115,
55.5130685,
65.564344
],
"stac_extensions": [
"https://stac-extensions.github.io/raster/v1.1.0/schema.json",
"https://stac-extensions.github.io/datacube/v2.0.0/schema.json"
]
}

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