dhidb

dhidb provides read-only Python access to a global 300 m, 12-year (2014-2025) Dynamic Habitat Indices time series 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.

DHIs are widely used in spatial ecology as interpretable predictors of habitat quality and vegetation dynamics, including covariates in species distribution models (SDMs) and biodiversity assessments.

Installation

pip install dhidb

For development:

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

Requirements and optional dependencies

DHIDB requires Python 3.10 or newer. The runtime dependencies and the compatibility ranges published by the package are:

Dependency	Supported version range
`affine`	`>=2.4`
`numpy`	`>=1.26,<3`
`pandas`	`>=2.1`
`pyproj`	`>=3.6`
`rasterio`	`>=1.3`
`shapely`	`>=2.0`
`tiledb`	`>=0.35,<0.38`
`xarray`	`>=2024.1`

Optional features are installed with package extras. There is no generic dhidb[dependency] extra; use the feature-specific extra you need:

Extra	Install command	Adds
`netcdf`	`pip install "dhidb[netcdf]"`	`scipy>=1.11` for NetCDF export
`zarr`	`pip install "dhidb[zarr]"`	`zarr>=2.18` for Zarr export
`test`	`pip install "dhidb[test]"`	build, pytest, coverage, Ruff, and SciPy tooling

For local development and testing:

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

The documentation website has its own Node.js dependencies in website/package.json; they are not part of the Python package extras.

Quick start

from dhidb import DHIProvider

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

    for batch in db.iter_bbox(
        bounds=(12.25, 51.25, 12.50, 51.40),  # Leipzig, Germany
        years=range(2014, 2026),
        variables=["dhi_cum", "dhi_min", "dhi_var", "valid_count"],
        batch_shape={"y": 256, "x": 256},
    ):
        print(batch.sizes)

Documentation

The Docusaurus website source is in website/. Build it locally with:

npm --prefix website install
npm --prefix website run start

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

Metadata

Release files for dhidb 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dhidb 0.3.3
File	Size	Uploaded
dhidb-0.3.3.tar.gz	5.9 MB	Sep 29, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for dhidb 0.3.3
File	Interpreter	ABI	Platform	Reset
dhidb-0.3.3-py3-none-any.whl 12.6 kB Sep 29, 2026	Python 3	none	any	Details

Total release size: 5.9 MB

Release files / dhidb-0.3.3.tar.gz

Download URL	dhidb-0.3.3.tar.gz
Size	5.9 MB
Tags	Source
SHA-256 checksum How to use checksums	`7edaa4703a59d94c611d31ab9aeaa18ba71985c9ddaefaa293824a4b2ae5ac5d`
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Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Download URL	dhidb-0.3.3-py3-none-any.whl
Size	12.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`0c474bb290a3ba177c7c849eddd43b7d4f984f2f694cdff1e0cbdb0a284d00ad`
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Upload date	Sep 29, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`