lare/app.example.yml at main · openearth/lare · GitHub

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sdi:
  geoserver:
    internal_url: "http://<geoserver-host>:8080/geoserver"
    public_url: "http://localhost:8000/geoserver"
    workspace: "<workspace>"
    user: "<geoserver-user>"
    password: "<geoserver-password>"
  tmp:
    tmpdir: '/pygeoapi/tmp'
ows:
  #base: "https://desirmed.openearth.eu/geoserver/ows"
  base: "http://<geoserver-host>:8080/geoserver/ows"
  wfs_nuts:
    #url: "https://desirmed.openearth.eu/geoserver/ows"
    url: "http://<geoserver-host>:8080/geoserver/ows"
    layer: "region:nuts_2021"
    name_field: "nuts_name"     # adjust to your attribute for NUTS name filter

layers:
  datasets: {"region:nuts_2021":"nuts_name",
             "hydro:hybas_eu_lev12_v1c": "hybas_id"
            }
  kcs:
    "socio_economic:pop2020":
      type: raster
      aggregation: mean
    "socio_economic:pop2030":
      type: raster
      aggregation: count
    "transport:transport":
      type: vector
      aggregation: length
    "socio_economic:elderly_facilities":
      type: vector
      aggregation: count
    "socio_economic:hospitals":
      type: vector
      aggregation: count
  dem: "topography:dem"
  transport: "topography:transport"
  clc: "landuse:U2018_CLC2018_V2020_20u1_cog"
  eunis: "landuse:eea_r_3035_100m_v3-1_cog"
  coastline: "coast:coastlines"
  imperviousness: "imperviousness:imperviousness"
  population: "socio_economic:pop2020"

hazards:
  list: ["flood", "drought", "erosion", "heat", "fire"]
  hazard: {"flood":"Flood mitigation",
           "drought":"Drought mitigation",
           "erosion":"Erosion mitigation",
           "heat": "Heatwave mitigation",
           "fire": "Fire mitigation"}
  clc_scores:
    archetype: "data/landscapearchetype.csv"

hazard_layers:
  pluvial_RP10: "hazard:Europe_RP10_filled_depth"
  pluvial_RP20: "hazard:Europe_RP20_filled_depth"
  pluvial_RP50: "hazard:Europe_RP50_filled_depth"
  pluvial_RP75: "hazard:Europe_RP75_filled_depth"
  pluvial_RP100: "hazard:Europe_RP100_filled_depth"
  pluvial_RP200: "hazard:Europe_RP200_filled_depth"
  heat: "heat:utci_days_above_46_daily_max"

scores:
  # Optional: If you also want an archetype code raster from CLC
  basecsv_path: "data"
  # columns: clc,score (archetype code)
  topo_hazards_csv: 'data/topo_hazards.csv'

paths:
  tmp_base: ./tmp