Add stac_dist/Vienna_tree_cover_2018/Vienna_tree_cover_2018.json for …

…pull request submission

stac_dist/Vienna_tree_cover_2018/Vienna_tree_cover_2018.json

@@ -4,6 +4,8 @@
   "id": "Vienna_tree_cover_2018",
   "properties": {
     "keywords": [
+      "Tree Cover Density",
+      " vienna",
       "Tree Cover Density (TCD).[%]"
     ],
     "license": "CC-BY-4.0",
@@ -25,8 +27,8 @@
       "x": {
         "axis": "x",
         "extent": [
-          331000,
-          354000
+          -11200,
+          18800
         ],
         "reference_system": "EPSG:31256",
         "type": "spatial",
@@ -37,8 +39,8 @@
       "y": {
         "axis": "y",
         "extent": [
-          -11200,
-          18800
+          331000,
+          354000
         ],
         "reference_system": "EPSG:31256",
         "type": "spatial",
@@ -72,13 +74,13 @@
       {
         "band_name": "Tree Cover Density (TCD).[%]",
         "unit": "%",
-        "data_type": "cfloat32",
+        "data_type": "int32",
         "nodata": -9,
         "definition": "Tree Cover Density (TCD).[%]",
         "description": "Tree Cover Density (TCD).[%]",
         "category_list": "",
-        "comment": "Band 1",
-        "interpolation": "NN"
+        "comment": "",
+        "interpolation": "nearest neighbor"
       }
     ],
     "title": "Vienna tree cover density 2018 (100m)",
@@ -89,7 +91,6 @@
     "start_datetime": "2017-01-01T00:00Z",
     "end_datetime": "2019-12-31T00:00Z",
     "re_projection_crs": "",
-    "unit_of_measure": "",
     "resolution": "",
     "personalData": "",
     "provenance_name": "CLMS Tree cover density 2018",
@@ -99,7 +100,6 @@
     "data_quality": "",
     "quality_control": "",
     "metada_standards": "",
-    "apis": "AWS-S3 API",
     "distributions": "",
     "access_control": "fairicube account required ",
     "datetime": "2024-07-17T09:52:11Z",
@@ -115,24 +115,24 @@
     "coordinates": [
       [
         [
-          20.527587778333267,
-          44.951075003750404
+          16.18109409638113,
+          48.11720087650675
         ],
         [
-          20.527587778333267,
-          45.2313494572559
+          16.18109409638113,
+          48.32420866274977
         ],
         [
-          20.839371582277582,
-          45.2313494572559
+          16.58564092856156,
+          48.32420866274977
         ],
         [
-          20.839371582277582,
-          44.951075003750404
+          16.58564092856156,
+          48.11720087650675
         ],
         [
-          20.527587778333267,
-          44.951075003750404
+          16.18109409638113,
+          48.11720087650675
         ]
       ]
     ]
@@ -149,11 +149,20 @@
       "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": {
-    "file on s3../r05_treecover/r05_treecover2018_100m_b1_COG_1_1.tif": {
-      "href": "https://fairicube.s3.eu-central-1.amazonaws.com/vienna_data/100m/",
+    "COG file on fairicube S3 Bucket": {
+      "href": "https://fairicube.s3.eu-central-1.amazonaws.com/vienna_data/100m/r05_treecover/r05_treecover2018_100m_b1_COG_1_1.tif",
       "roles": [
         "data"
       ]
@@ -166,10 +175,10 @@
     }
   },
   "bbox": [
-    20.527587778333267,
-    44.951075003750404,
-    20.839371582277582,
-    45.2313494572559
+    16.18109409638113,
+    48.11720087650675,
+    16.58564092856156,
+    48.32420866274977
   ],
   "stac_extensions": [
     "https://stac-extensions.github.io/raster/v1.1.0/schema.json",