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Merge pull request #330 from FAIRiCUBE/stac-dist-shadow-index-city-of
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ChangeType.update stac_dist/shadow_index_city_of_luxembourg/shadow_index_city_of_luxembourg.json
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mari-s4e authored Nov 26, 2024
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{
"type": "Feature",
"stac_version": "1.0.0",
"id": "shadow_index_city_of_luxembourg",
"properties": {
"keywords": [
"lidar",
" terrain",
" luref",
" topography",
" DEM",
"shadow index",
" luxembourg"
],
"license": "CC0-1.0",
"description": "The shadow index quantifies the extent of shaded areas. ",
"providers": [
{
"organization_name": "space4environment",
"organization": "space4environment",
"comments": "",
"doc_link": "",
"organization_email": "[email protected]",
"ORCID_ID": "",
"roles": "processor",
"project_purpose": "Urban adaptation to climate change"
},
{
"organization_name": "Administration du cadastre et de la topographie",
"organization": "Administration du cadastre et de la topographie",
"doc_link": "https://data.public.lu/fr/datasets/lidar-2019-modele-numerique-de-terrain-mnt/",
"roles": "producer"
}
],
"dataSource": "https://data.public.lu/fr/datasets/lidar-2019-modele-numerique-de-terrain-mnt/",
"cube:dimensions": {
"x": {
"axis": "x",
"extent": [
72850,
82570
],
"reference_system": "2169",
"type": "spatial",
"unit": "meter",
"interpolation": "",
"step": 10
},
"y": {
"axis": "y",
"extent": [
69590,
80030
],
"reference_system": "2169",
"type": "spatial",
"unit": "meter",
"interpolation": "",
"step": 10
},
"z": {
"extent": [
null,
null
],
"reference_system": "",
"unit": "",
"interpolation": "",
"step": "",
"type": "spatial"
},
"time": {
"type": "temporal",
"extent": [
"2019-01-01T00:00Z",
"2019-12-31T00:00Z"
],
"step": "P1Y0M0DT0H0M0S",
"unit": "y",
"interpolation": ""
}
},
"raster:bands": [
{
"band_name": "shadow index",
"unit": "continuous",
"data_type": "float32",
"nodata": -99999,
"definition": "The shadow index (SI) is the ratio of observed radiance to its normalization value and corresponds to the damping factor of radiation",
"description": "The shadow index (SI) is the ratio of observed radiance to its normalization value and corresponds to the damping factor of radiation",
"category_list": "",
"comment": "",
"interpolation": ""
}
],
"title": "Shadow Index of the City of Luxembourg",
"datasource_type": "grid",
"area_cover": "5171.66 ha",
"documentation": "https://data.public.lu/fr/datasets/lidar-2019-modele-numerique-de-terrain-mnt/",
"crs": "2169",
"start_datetime": "2019-01-01T00:00Z",
"end_datetime": "2019-12-31T00:00Z",
"re_projection_crs": "",
"unit_of_measure": "",
"resolution": "",
"personalData": "no personal data",
"provenance_name": "LiDAR 2019 - Digital Terrain Model (DTM)",
"preprocessing": "A standard hillshade model was calculated using the Module Analytical Hillshading from SAGA-GIS (v2.2.0). This was used to calculate the shadow index. First a day of shadow was simulated for solar altitude for luxembourg city and secondly the data range was normalized linearly",
"source_data": "https://data.public.lu/fr/datasets/lidar-2019-modele-numerique-de-terrain-mnt/",
"models": "",
"data_quality": "",
"quality_control": "",
"metada_standards": "",
"distributions": "",
"access_control": "fairicube account required ",
"datetime": "2024-09-03T00:00Z",
"modification": null,
"provision": null,
"use_case_S4E": "1",
"ingestion_status": "",
"platform": "Eox"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
6.069104443926092,
49.56094657618465
],
[
6.069104443926092,
49.65484833240523
],
[
6.203715071874704,
49.65484833240523
],
[
6.203715071874704,
49.56094657618465
],
[
6.069104443926092,
49.56094657618465
]
]
]
},
"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": "AWS S3 Bucket API",
"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": {
"shadow_2019_10m_b1": {
"href": "https://hub-fairicube0.s3.eu-central-1.amazonaws.com/data/d012_luxembourg/shadow_2019_10m_b1.tif",
"roles": [
"data"
]
},
"shadow_2019_10m_b1_COG_overview": {
"href": "https://hub-fairicube0.s3.eu-central-1.amazonaws.com/data/web/luxembourg/shadow_2019_10m_b1_COG.tif",
"roles": [
"data"
]
},
"shadow_2019_10m_b1_thumbnail": {
"href": "https://github.com/FAIRiCUBE/uc1-urban-climate/blob/master/images/thumbnails/shadow_2019_10m_b1.png",
"roles": [
"thumbnail"
]
}
},
"bbox": [
6.069104443926092,
49.56094657618465,
6.203715071874704,
49.65484833240523
],
"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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