# Source: GEDI L4B Gridded Aboveground Biomass Density
# Type: geotiff
# Catalog: Manual
# Created for: CBGB benchmark problems

source:
  id: nasa-gedi-l4b-biomass
  name: GEDI L4B Gridded Aboveground Biomass Density v2.1
  type: geotiff
  url: https://daac.ornl.gov/GEDI/guides/GEDI_L4B_Gridded_Biomass_V2_1.html
  description: >
    The GEDI L4B product provides 1km gridded estimates of mean aboveground
    biomass density (AGBD) derived from GEDI L4A footprint-level biomass
    estimates. GEDI (Global Ecosystem Dynamics Investigation) is a full-waveform
    lidar instrument on the International Space Station that provides
    high-resolution measurements of forest canopy height and vertical structure.
    The L4B gridded product uses statistical models to predict biomass from
    GEDI waveform metrics, aggregated to a 1km grid. Covers the GEDI
    observation domain between 51.6N and 51.6S latitude.
  provider: NASA / ORNL DAAC
  license: public-domain
  metadata:
    connector_id: null
    tags:
    - Biomass
    - Carbon
    - Forest
    - GEDI
    - Lidar
    - NASA
    - Global
    - Raster
    dataset:
      tier: 1
      thematic_group: Vegetation & Agriculture
      format: geotiff
      resolution: 1km
      crs: EPSG:4326
      bands:
      - id: MU
        description: Mean aboveground biomass density (Mg/ha)
        dtype: float32
      - id: V1
        description: Variance component 1 (prediction uncertainty)
        dtype: float32
      - id: SE
        description: Standard error of mean biomass (Mg/ha)
        dtype: float32
      - id: NC
        description: Number of clusters (GEDI orbits) used
        dtype: int32
      - id: NS
        description: Number of GEDI samples within grid cell
        dtype: int32
      - id: QF
        description: Quality flag (0=nominal, 1=outside GEDI coverage)
        dtype: uint8
      temporal:
        range: 2019-04-18/2023-03-16
        frequency: static
        type: snapshot
        default_range: latest
      quality:
        methodology: >
          GEDI L4A footprint biomass predictions aggregated to 1km grid
          using a hybrid inference framework. Biomass predicted from
          waveform metrics (RH values) using models calibrated with field
          inventory data. Uncertainty propagated through the gridding
          process.
        accuracy: >
          RMSE ~30-50 Mg/ha depending on biome. Higher uncertainty in
          dense tropical forests. Validated against national forest
          inventory data. See Dubayah et al. 2022, Environmental Research
          Letters 17(4).
        coverage: near-global (51.6S-51.6N latitude)
      layout:
        type: single_file
      access:
        type: http
        url: https://daac.ornl.gov/daacdata/gedi/GEDI_L4B_Gridded_Biomass_V2_1/data/
        notes: >
          Available from ORNL DAAC via Earthdata Login (free registration).
          Single global GeoTIFF per version. Also available on Google Earth
          Engine (LARSE/GEDI/GEDI04_B_002). AppEEARS and CMR APIs supported
          for programmatic access.
      original_source_url: https://daac.ornl.gov/GEDI/guides/GEDI_L4B_Gridded_Biomass_V2_1.html
      homepage: https://gedi.umd.edu/data/products/
      gee_asset_id: LARSE/GEDI/GEDI04_B_002
      cbgb_problems:
      - EBD_F3.0_C1