DHIDB

dhidb

dhidb provides read-only Python access to the global 300 m Dynamic Habitat Indices database stored as a dense TileDB array on public S3-compatible object storage. It supports point, bounding-box, and polygon queries without first downloading the complete database.

Installation

pip install dhidb

For development:

python -m pip install -e ".[test,docs]"

Quick start

from dhidb import DHIProvider

with DHIProvider() as db:
    print(db.years)
    print(db.variables)

    germany = db.query_bbox(
        bounds=(5.8, 47.2, 15.1, 55.1),
        years=[2020, 2021, 2022],
        variables=["dhi_cum", "dhi_min", "dhi_var", "valid_count"],
    )

Documentation

The Jupyter Book source is in docs/. Build it locally with:

jupyter-book build docs

Data variables

Variable	Meaning	Unit
`dhi_cum`	Cumulative productivity from LSP TPROD	PPI integral (`m2 m-2 day`)
`dhi_min`	Minimum seasonal productivity baseline from LSP MINV	PPI (`m2 m-2`)
`dhi_var`	Inter-period GPP coefficient of variation	dimensionless
`dhi_combined`	Normalized combined DHI, where available	dimensionless
`observed_count`	Number of available 10-day observations	scenes
`valid_count`	Number of accepted 10-day observations	scenes
`qflag_any_count`	Observations carrying any source quality flag	scenes
`qflag_rejected_count`	Observations rejected by quality filtering	scenes

License

MIT

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