whirlwind

Fast Rust-backed 2D InSAR phase unwrapping with Python bindings.

Whirlwind unwraps a complex interferogram and returns both unwrapped phase and connected-component labels. The NISAR comparison shows agreement with production SNAPHU on 2pi ambiguities, with lower runtime in the tested scenes.

The package is whirlwind-insar on PyPI and GitHub; it imports as whirlwind.

Quickstart

git clone https://github.com/scottstanie/whirlwind-insar.git
cd whirlwind-insar
pip install .

Source installs require Python 3.11+ and Rust.

Usage

import whirlwind as ww

unw, conncomp = ww.unwrap(igram, corr, nlooks=10.0, mask=mask)

igram is a complex wrapped interferogram, corr is coherence/correlation in [0, 1], and mask is optional with True for valid pixels.

For noisy scenes, coarsen the solve with downsample (it unwraps a coherently-averaged copy at the given factor to pick each block's 2π cycle, then maps the cycles back onto the full-resolution phase). nlooks stays the effective looks of your input corr — the down-look scaling is handled internally, so you do not raise it yourself:

unw, conncomp = ww.unwrap(igram, corr, nlooks=10.0, mask=mask, downsample=8)

CLI

The whirlwind CLI is at feature parity with the Python unwrap: every knob the Python API exposes (downsample, the bridge post-pass, persistent-scatterer interpolate, Goldstein filtering, and the connected-component cost controls) is available as a flag. Run whirlwind --help for the full list. There are no subcommands: unwrapping is the whole CLI, so all flags go directly to whirlwind (earlier releases used a whirlwind unwrap ... subcommand, which is still accepted with a deprecation note).

Install

Pick whichever is simplest for you:

Prebuilt binary (no Python or toolchain). Download the archive for your platform from the latest release, unpack it, and run the whirlwind executable. A single self-contained binary - handy for MATLAB users driving it via system('whirlwind ...').

With the Python package. The wheel ships a whirlwind console script (the same Rust CLI, entered in-process):

uvx --from whirlwind-insar whirlwind --help   # zero-install try-out
pip install whirlwind-insar                   # puts `whirlwind` on PATH

From source with Cargo (needs the Rust toolchain):

cargo install --path crates/whirlwind-cli --locked

Docker (see below).

Run

whirlwind \
    --phase wrapped_phase.tif \
    --cor coherence.tif \
    --mask valid_mask.tif \
    --nlooks 10 \
    --out unwrapped_phase.tif

--phase is the wrapped phase in radians: a float32 TIFF, or a flat binary float32 file (see below). If you start from a complex-valued GeoTIFF, extract GDAL's PHASE derived subdataset first and pass that as --phase; --ifg is for flat complex64 rasters. The phase path reconstructs a unit-magnitude interferogram, so it does not preserve amplitude. --mask is optional; nonzero means valid. When --mask is omitted the CLI uses coherence > 0 (and igram != 0 with --ifg) as the default valid mask, matching the Python API. The CLI writes a SNAPHU-faithful connected-component label map by default next to --out (foo.conncomp.tif for TIFF, foo.unw.conncomp for flat .unw); use --conncomp PATH to choose the path or --no-conncomp to skip it.

Flat-binary formats (snaphu / ROI_PAC / isce2 / GAMMA)

Headerless flat-binary rasters from the classic pipelines work directly - no GDAL conversion needed:

# snaphu-style: complex64 .int + amp/cor .cc; width ("line length") on the CLI
whirlwind --ifg pair.int --cor pair.cc --cols 1024 --nlooks 10 --out pair.unw

# ROI_PAC / Stanford: geometry read from the <file>.rsc sidecar automatically
whirlwind --ifg 20150902_20150914.int --cor 20150902_20150914.cc \
    --nlooks 10 --out 20150902_20150914.unw

# isce2 stripmapStack / topsStack: the <file>.xml sidecars provide everything
whirlwind --ifg filt_fine.int --cor filt_fine.cor --nlooks 10 \
    --out filt_fine.unw

# GAMMA: big-endian; width from a .par/.off (or --cols + --big-endian)
whirlwind --ifg pair.diff --ifg-meta pair.off \
    --cor pair.cc --cor-meta pair.off --nlooks 10 --out-format float --out pair.unw

--ifg is the raw flat complex64 interferogram (snaphu COMPLEX_DATA, i.e. numpy.tofile() of a complex64 array), preserving amplitude for flat classic pipelines. --phase accepts float32 wrapped phase as TIFF or flat binary (snaphu FLOAT_DATA) and reconstructs unit-magnitude complex values. Exactly one of the two is given.
--cor may be single-band float32 (isce2 .cor, GAMMA .cc) or the two-band line-interleaved amplitude+correlation "rmg" layout (snaphu's default, ROI_PAC .cc): the band count is detected from the file size and the correlation is read from the second channel, exactly as snaphu does. --cor-format alt-sample covers snaphu's sample-interleaved variant.
--cols (alias --width) is snaphu's "line length" / ROI_PAC WIDTH; the row count always comes from the file size. A <file>.rsc or <file>.xml next to each input supplies it automatically (and, for isce2, the dtype, band count, scheme, and byte order). Use --ifg-meta, --phase-meta, or --cor-meta when the sidecar is not next to that input.
Output is chosen by extension (override with --out-format): .tif → TIFF; .unw → two-band amp+phase rmg (snaphu's default output layout); anything else → flat float32 phase. Conncomp follows the output style by default: u16 TIFF for TIFF outputs, or one-byte-per-pixel flat for flat outputs (the snaphu/isce2 convention). Flat outputs keep the input's byte order.
--mask also accepts snaphu-style flat byte masks (nonzero = valid).

Connected components default to the SNAPHU-faithful ambiguity-wiggle grow (--conncomp-algorithm snaphu) with --conncomp-min-coherence auto, which labels 0 any pixel below a coherence floor of 0.32/sqrt(nlooks) (0.08 at 16 looks). Set --conncomp-min-coherence off to label every reliably unwrapped pixel, or pass a number for a fixed cutoff. The legacy linear grow is available with --conncomp-algorithm linear.

For noisy scenes, coarsen the solve with --downsample (as in the Python API); the integration-component --no-bridge-able re-leveling pass runs by default:

whirlwind --phase wrapped_phase.tif --cor coherence.tif \
    --mask valid_mask.tif --nlooks 10 --downsample 8 \
    --out unwrapped_phase.tif

The CLI is pure Rust (no GDAL), so it also runs from a container. Pull the prebuilt image (published to the GitHub Container Registry by CI), or build it locally:

docker pull ghcr.io/scottstanie/whirlwind-insar:main   # prebuilt, or:
docker build -t ghcr.io/scottstanie/whirlwind-insar .  # build locally

docker run --rm -v "$PWD:/data" ghcr.io/scottstanie/whirlwind-insar \
    --phase /data/wrapped.tif --cor /data/cor.tif --nlooks 10 \
    --out /data/unw.tif

Dolphin

Dolphin can select Whirlwind as an unwrap method:

dolphin unwrap --unwrap-options.unwrap-method whirlwind ...

See the Dolphin docs for the rest of the Dolphin workflow.

Development

uv sync
uv run maturin develop --release
uv run pytest python/tests
cargo test --workspace

Repository Layout

python/whirlwind: Python API.
crates/whirlwind-core: Rust algorithms.
crates/whirlwind-py: PyO3 bindings.
crates/whirlwind-cli: CLI binary.
docs: reference docs.
scripts: benchmarks and development utilities.

License

Licensed under either the BSD 3-Clause License or the Apache License, Version 2.0, at your option. See LICENSE.

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Provenance

The following attestation bundles were made for whirlwind_insar-0.4.0-cp311-abi3-macosx_10_12_x86_64.whl:

Publisher: release.yml on scottstanie/whirlwind-insar

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: whirlwind_insar-0.4.0-cp311-abi3-macosx_10_12_x86_64.whl
- Subject digest: 174fd46387faf1954449fba9de458ce4a0ddc537729c4e0aafcbe092341db0b2
- Sigstore transparency entry: 1945592115
- Sigstore integration time: Jun 25, 2026
Source repository:
- Permalink: scottstanie/whirlwind-insar@4304b145e64cae92f4648d6634acb72bd9032754
- Branch / Tag: refs/tags/v0.4.0
- Owner: https://github.com/scottstanie
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@4304b145e64cae92f4648d6634acb72bd9032754
- Trigger Event: workflow_dispatch

Release history Release notifications | RSS feed

0.9.0

Aug 4, 2026

0.8.0

Jul 23, 2026

0.7.0

Jul 21, 2026

0.6.0

Jul 13, 2026

0.5.1

Jul 7, 2026

0.5.0

Jul 2, 2026

This release

0.4.0

Jun 25, 2026

0.3.1

Jun 22, 2026

0.3.0

Jun 19, 2026

0.2.1

Jun 11, 2026

0.1.0

Jun 10, 2026

whirlwind-insar 0.4.0

whirlwind

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