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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -9,16 +9,27 @@ | |
| " luref", | ||
| " topography", | ||
| " DEM", | ||
| "slope" | ||
| "slope", | ||
| " luxembourg" | ||
| ], | ||
| "license": "CC0-1.0", | ||
| "description": "The slope is the angle of inclination of the terrain and is expressed in degrees.", | ||
| "description": "The slope is the angle of inclination of the terrain and is expressed in degrees. The dataset is derived from Lidar-based Digital Terrain Model. Reference year is 2019.", | ||
| "providers": [ | ||
| { | ||
| "organization_name": "FAIRiCUBE", | ||
| "organization": "FAIRiCUBE", | ||
| "organization": "space4environment", | ||
| "comments": "", | ||
| "doc_link": "", | ||
| "organization_email": "[email protected]", | ||
| "roles": "processor" | ||
| "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/", | ||
|
|
@@ -32,6 +43,7 @@ | |
| "reference_system": "2169", | ||
| "type": "spatial", | ||
| "unit": "degree", | ||
| "interpolation": "", | ||
| "step": 10 | ||
| }, | ||
| "y": { | ||
|
|
@@ -43,13 +55,18 @@ | |
| "reference_system": "2169", | ||
| "type": "spatial", | ||
| "unit": "degree", | ||
| "interpolation": "", | ||
| "step": 10 | ||
| }, | ||
| "z": { | ||
| "extent": [ | ||
| null, | ||
| null | ||
| ], | ||
| "reference_system": "", | ||
| "unit": "", | ||
| "interpolation": "", | ||
| "step": "", | ||
| "type": "spatial" | ||
| }, | ||
| "time": { | ||
|
|
@@ -59,18 +76,21 @@ | |
| "2019-12-31T00:00Z" | ||
| ], | ||
| "step": "P1Y0M0DT0H0M0S", | ||
| "unit": "y", | ||
| "unit": "year", | ||
| "interpolation": "" | ||
| } | ||
| }, | ||
| "raster:bands": [ | ||
| { | ||
| "band_name": "slope", | ||
| "unit": "continuous", | ||
| "unit": "degrees", | ||
| "data_type": "float32", | ||
| "nodata": -9999, | ||
| "definition": "The slope is the angle of inclination of the terrain and is expressed in degrees.", | ||
| "description": "The slope is the angle of inclination of the terrain and is expressed in degrees." | ||
| "description": "The slope is the angle of inclination of the terrain and is expressed in degrees.", | ||
| "category_list": "", | ||
| "comment": "", | ||
| "interpolation": "" | ||
| } | ||
| ], | ||
| "title": "Slope of the city of Luxembourg", | ||
|
|
@@ -80,16 +100,24 @@ | |
| "crs": "EPSG: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": "The slope (expressed in degrees) was derived using the built-in Raster Terrain Analysis toolbox in QGIS. The Slope algorithm was used, which computes angle of inclination of the terrain using the Digital Terrain Model (DTM) as an input. ", | ||
| "source_data": "https://data.public.lu/fr/datasets/lidar-2019-modele-numerique-de-terrain-mnt/", | ||
| "apis": "AWS-S3 API", | ||
| "models": "", | ||
| "data_quality": "", | ||
| "quality_control": "", | ||
| "metada_standards": "", | ||
| "distributions": "", | ||
| "access_control": "fairicube account required ", | ||
| "datetime": "2024-08-29T12:09Z", | ||
| "modification": null, | ||
| "provision": null, | ||
| "use_case_S4E": "1", | ||
| "ingestion_status": "", | ||
| "platform": "Eox" | ||
| }, | ||
| "geometry": { | ||
|
|
@@ -131,9 +159,25 @@ | |
| "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/uc1-urban-climate/blob/master/data/city_features_collection/city_features_collection_v0.1.geojson", | ||
| "rel": "example" | ||
| } | ||
| ], | ||
| "assets": {}, | ||
| "assets": { | ||
| "DEM Slope": { | ||
| "href": "https://hub-fairicube0.s3.eu-central-1.amazonaws.com/data/d012_luxembourg/dem_slope_2019_10m_b1.tif", | ||
| "roles": [ | ||
| "data" | ||
| ] | ||
| } | ||
| }, | ||
| "bbox": [ | ||
| 6.069104443926092, | ||
| 49.56094657618465, | ||
|
|
||