diff --git a/stac_dist/slope_city_of_luxembourg/slope_city_of_luxembourg.json b/stac_dist/slope_city_of_luxembourg/slope_city_of_luxembourg.json
new file mode 100644
index 00000000..0f03a99f
--- /dev/null
+++ b/stac_dist/slope_city_of_luxembourg/slope_city_of_luxembourg.json
@@ -0,0 +1,191 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "slope_city_of_luxembourg",
+  "properties": {
+    "keywords": [
+      "lidar",
+      " terrain",
+      " luref",
+      " topography",
+      " DEM",
+      "slope",
+      " luxembourg"
+    ],
+    "license": "CC0-1.0",
+    "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": "space4environment",
+        "comments": "",
+        "doc_link": "",
+        "organization_email": "info@space4environment.com",
+        "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": "degree",
+        "interpolation": "",
+        "step": 10
+      },
+      "y": {
+        "axis": "y",
+        "extent": [
+          69590,
+          80030
+        ],
+        "reference_system": "2169",
+        "type": "spatial",
+        "unit": "degree",
+        "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": "year",
+        "interpolation": ""
+      }
+    },
+    "raster:bands": [
+      {
+        "band_name": "slope",
+        "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.",
+        "category_list": "",
+        "comment": "",
+        "interpolation": ""
+      }
+    ],
+    "title": "Slope 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": "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/",
+    "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": {
+    "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": {
+    "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,
+    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"
+  ]
+}