Single Item Viz

import requests as re
import folium

STAC_ENDPOINT_URL = "https://staging-stac.delta-backend.com"
RASTER_ENDPOINT_URL = "https://staging-raster.delta-backend.com"

no2_collection_summary = re.get(f"{STAC_ENDPOINT_URL}/collections/no2-monthly").json()
no2_collection_summary

{'id': 'no2-monthly',
 'type': 'Collection',
 'links': [{'rel': 'items',
   'type': 'application/geo+json',
   'href': 'https://staging-stac.delta-backend.com/collections/no2-monthly/items'},
  {'rel': 'parent',
   'type': 'application/json',
   'href': 'https://staging-stac.delta-backend.com/'},
  {'rel': 'root',
   'type': 'application/json',
   'href': 'https://staging-stac.delta-backend.com/'},
  {'rel': 'self',
   'type': 'application/json',
   'href': 'https://staging-stac.delta-backend.com/collections/no2-monthly'}],
 'title': 'NO₂',
 'extent': {'spatial': {'bbox': [[-180, -90, 180, 90]]},
  'temporal': {'interval': [['2016-01-01T00:00:00Z',
     '2022-01-01T00:00:00Z']]}},
 'license': 'MIT',
 'summaries': {'datetime': ['2016-01-01T00:00:00Z', '2022-05-01T00:00:00Z'],
  'cog_default': {'max': 50064805976866816, 'min': -6618294421291008}},
 'description': 'Darker colors indicate higher nitrogen dioxide (NO₂) levels and more activity. Lighter colors indicate lower levels of NO₂ and less activity. Missing pixels indicate areas of no data most likely associated with cloud cover or snow.',
 'item_assets': {'cog_default': {'type': 'image/tiff; application=geotiff; profile=cloud-optimized',
   'roles': ['data', 'layer'],
   'title': 'Default COG Layer',
   'description': 'Cloud optimized default layer to display on map'}},
 'stac_version': '1.0.0',
 'stac_extensions': ['https://stac-extensions.github.io/item-assets/v1.0.0/schema.json'],
 'dashboard:is_periodic': True,
 'dashboard:time_density': 'month'}

rescale_values = no2_collection_summary["summaries"]["cog_default"]
rescale_values

{'max': 50064805976866816, 'min': -6618294421291008}

response = re.post(
    f"{STAC_ENDPOINT_URL}/search", 
    json={
        "collections": ["no2-monthly"], 
        "query": {"datetime": {"eq":"2021-01-01T00:00:00"}},
        "limit": 100
    }
).json()
item = response["features"][0]
item

{'id': 'OMI_trno2_monthly_0.10x0.10_202101_Col3_V4.nc',
 'bbox': [-180.0, -90.0, 180.0, 90.0],
 'type': 'Feature',
 'links': [{'rel': 'collection',
   'type': 'application/json',
   'href': 'https://staging-stac.delta-backend.com/collections/no2-monthly'},
  {'rel': 'parent',
   'type': 'application/json',
   'href': 'https://staging-stac.delta-backend.com/collections/no2-monthly'},
  {'rel': 'root',
   'type': 'application/json',
   'href': 'https://staging-stac.delta-backend.com/'},
  {'rel': 'self',
   'type': 'application/geo+json',
   'href': 'https://staging-stac.delta-backend.com/collections/no2-monthly/items/OMI_trno2_monthly_0.10x0.10_202101_Col3_V4.nc'}],
 'assets': {'cog_default': {'href': 's3://veda-data-store-staging/no2-monthly/OMI_trno2_monthly_0.10x0.10_202101_Col3_V4.nc.tif',
   'type': 'image/tiff; application=geotiff; profile=cloud-optimized',
   'roles': ['data', 'layer'],
   'raster:bands': [{'scale': 1.0,
     'nodata': -1.2676506002282294e+30,
     'offset': 0.0,
     'sampling': 'area',
     'data_type': 'float32',
     'histogram': {'max': 35781585143857150,
      'min': -4107596126486528.0,
      'count': 11,
      'buckets': [7437, 432387, 2866, 699, 356, 207, 76, 27, 7, 1]},
     'statistics': {'mean': 367152773066762.6,
      'stddev': 961254458662885.4,
      'maximum': 35781585143857150,
      'minimum': -4107596126486528.0,
      'valid_percent': 84.69829559326172}}]}},
 'geometry': {'type': 'Polygon',
  'coordinates': [[[-180.0, -90.0],
    [180.0, -90.0],
    [180.0, 90.0],
    [-180.0, 90.0],
    [-180.0, -90.0]]]},
 'collection': 'no2-monthly',
 'properties': {'datetime': None,
  'proj:bbox': [-180.0, -90.0, 180.0, 90.0],
  'proj:epsg': 4326,
  'proj:shape': [1800, 3600],
  'end_datetime': '2021-01-31T00:00:00Z',
  'proj:geometry': {'type': 'Polygon',
   'coordinates': [[[-180.0, -90.0],
     [180.0, -90.0],
     [180.0, 90.0],
     [-180.0, 90.0],
     [-180.0, -90.0]]]},
  'proj:transform': [0.1, 0.0, -180.0, 0.0, -0.1, 90.0, 0.0, 0.0, 1.0],
  'start_datetime': '2021-01-01T00:00:00Z'},
 'stac_version': '1.0.0',
 'stac_extensions': ['https://stac-extensions.github.io/projection/v1.0.0/schema.json',
  'https://stac-extensions.github.io/raster/v1.1.0/schema.json']}

tiles = re.get(
    f"{RASTER_ENDPOINT_URL}/stac/tilejson.json?collection={item['collection']}&item={item['id']}&assets=cog_default&color_formula=gamma+r+1.05&colormap_name=rdbu_r&rescale=0%2C15000000000000000", 
).json()
tiles

{'tilejson': '2.2.0',
 'version': '1.0.0',
 'scheme': 'xyz',
 'tiles': ['https://staging-raster.delta-backend.com/stac/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?collection=no2-monthly&item=OMI_trno2_monthly_0.10x0.10_202101_Col3_V4.nc&assets=cog_default&color_formula=gamma+r+1.05&colormap_name=rdbu_r&rescale=0%2C15000000000000000'],
 'minzoom': 0,
 'maxzoom': 24,
 'bounds': [-180.0, -90.0, 180.0, 90.0],
 'center': [0.0, 0.0, 0]}

m = folium.Map(
    zoom_start=2,
    scroll_wheel_zoom=True, 
    tiles=tiles["tiles"][0], 
    attr="VEDA", 
    minzoom=18, 
    maxzoom=0, 
    
)

m

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