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ChangeType.update stac_dist/Vienna_tree_cover_2018/Vienna_tree_cover_2018.json #291

Merged
merged 7 commits into from
Oct 30, 2024
187 changes: 187 additions & 0 deletions stac_dist/Vienna_tree_cover_2018/Vienna_tree_cover_2018.json
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{
"type": "Feature",
"stac_version": "1.0.0",
"id": "Vienna_tree_cover_2018",
"properties": {
"keywords": [
"Tree Cover Density",
" vienna",
"Tree Cover Density (TCD).[%]"
],
"license": "CC-BY-4.0",
"description": "Tree cover density 2018 (100m) in EPSG:31256 in Vienna. Reprojected from the CLMS Product Tree Cover Density 2018.\nIndicates the tree cover density in a range from 0% to100% for the 2018 reference year.",
"providers": [
{
"organization_name": "European Environment Agency",
"organization": "European Environment Agency",
"comments": "",
"doc_link": "https://sdi.eea.europa.eu/catalogue/copernicus/all/catalog.search#/metadata/c7bf34ea-755c-4dbd-85b6-4efc5fd302a2",
"organization_email": "[email protected]",
"ORCID_ID": "",
"roles": "producer",
"project_purpose": "https://land.copernicus.eu"
}
],
"dataSource": "copernicus.eu",
"cube:dimensions": {
"x": {
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"extent": [
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18800
],
"reference_system": "EPSG:31256",
"type": "spatial",
"unit": "meter",
"interpolation": "average",
"step": 100
},
"y": {
"axis": "y",
"extent": [
331000,
354000
],
"reference_system": "EPSG:31256",
"type": "spatial",
"unit": "meter",
"interpolation": "average",
"step": 100
},
"z": {
"extent": [
null,
null
],
"reference_system": "",
"unit": "",
"interpolation": "",
"step": "",
"type": "spatial"
},
"time": {
"type": "temporal",
"extent": [
"2017-01-01T00:00Z",
"2019-12-31T00:00Z"
],
"step": "P3Y0M0DT0H0M0S",
"unit": "year",
"interpolation": ""
}
},
"raster:bands": [
{
"band_name": "Tree Cover Density (TCD).[%]",
"unit": "%",
"data_type": "int32",
"nodata": -9,
"definition": "Tree Cover Density (TCD).[%]",
"description": "Tree Cover Density (TCD).[%]",
"category_list": "",
"comment": "",
"interpolation": "nearest neighbor"
}
],
"title": "Vienna tree cover density 2018 (100m)",
"datasource_type": "GeoTIFF",
"area_cover": "415km2",
"documentation": "",
"crs": "EPSG:31256",
"start_datetime": "2017-01-01T00:00Z",
"end_datetime": "2019-12-31T00:00Z",
"re_projection_crs": "",
"resolution": "",
"personalData": "",
"provenance_name": "CLMS Tree cover density 2018",
"preprocessing": "Re-projection from 3035 to 31256 (NN) and clipped to Vienna border and pixel shift to rounded 100m coordiantes",
"source_data": "https://land.copernicus.eu/en/products/high-resolution-layer-tree-cover-density/tree-cover-density-2018#Download",
"models": "https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/notebooks/dev/f06_pre_processing/Vienna_protected_areas_100m.ipynb",
"data_quality": "",
"quality_control": "",
"metada_standards": "",
"distributions": "",
"access_control": "fairicube account required ",
"datetime": "2024-07-17T09:52:11Z",
"modification": "2024-07-17T09:52:18Z",
"provision": "2024-07-17T09:52:16Z",
"use_case_S4E": "1",
"use_case_NHM_2": "1",
"ingestion_status": "",
"platform": "Eox"
},
"geometry": {
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},
"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"
},
{
"example:container": false,
"example:language": "Python",
"type": "text/x-python",
"title": "Access data in an AWS S3 bucket",
"description": "The script shows how to open a gridded dataset stored on an S3 Bucket as an xarray DataSet",
"href": "https://github.com/FAIRiCUBE/common-code/blob/main/access_data_apis/access_s3_bucket.py",
"rel": "example"
}
],
"assets": {
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"href": "https://fairicube.s3.eu-central-1.amazonaws.com/vienna_data/100m/r05_treecover/r05_treecover2018_100m_b1_COG_1_1.tif",
"roles": [
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},
"tree cover": {
"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7bf34ea-755c-4dbd-85b6-4efc5fd302a2.png",
"roles": [
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}
},
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"stac_extensions": [
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"https://stac-extensions.github.io/datacube/v2.0.0/schema.json"
]
}
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