Families of geoops and xrops

geoops and xrops are organised in families. A family name used by both means the same job on either lane (geostack gate D1); the shared ones are listed first, with that job.

Family	Shared job	geoops	xrops
geom	geometry: CRS and reprojection, subsetting and cropping, mosaics, rasterize and vectorize (geoops also keeps its gradient operators here; xrops's are xrops.grad)	Geometry, projection, tiling, mosaicking, rasterization, and vectorization	Geometry — CRS, footprints, mosaics, vector/raster bridge, subsetting, regions
learn	scikit-learn estimators fitted and applied on the lane's carrier (GeoArray; DataArray, Dataset and DataTree)	scikit-learn integration for GeoArray operator pipelines	scikit-learn on xarray: Datasets, DataTrees and the .sklearn accessor
mask	masks: land, ocean and country masks, region masks, and applying a mask	Geometry masks, morphological cleanup, mask algebra, and mask application	Masks — land/ocean/country masks, mask application, and canonical regimes
viz	visualization: colormaps, composites and display panels	Visualization Operators for RGB composites, display stretching, and overlays	Visualization operators for xrops
anomaly		—	Anomalies — climatologies, mean removal, and anomaly calculation
atm		—	Atmospheric physics operators
augment		Remote-sensing-safe data augmentations	—
budgets		—	Conservation-budget diagnostics — V4.2 / V4.3
cf		—	CF conventions — coordinate validation, time decoding, and renaming
compositing		Explicit compositing operators for co-registered GeoArray stacks	—
einx		geoops.einx — universal tensor notation over GeoArray carriers	—
extremes		—	Extreme-value helpers — block maxima/minima, peaks-over-threshold, point processes
feature		Sparse feature, edge, texture, and Hough operators	—
grad		—	Finite-difference calculus on labeled xarray grids
indices		Spectral indices for remote sensing	—
inference		—	Inference operators — wrap trained models as Layer-1 Operators
interpolate		—	Value resampling — gap-fill, regrid, coarsen, refine, bin, resample, smooth
io		Reader and writer operators for geospatial rasters	—
matched_filter		Composable pure-NumPy matched-filter operators	—
measure		Measurement operators for labels, regions, contours, and transects	—
metrics		—	Evaluation metrics, grouped by scientific diagnostic family
normalize		Normalization operators for remote-sensing GeoArrays	—
ocn		—	Oceanography physics operators
plume		Trace-gas plume detection, footprints, and emission estimators	—
qa		QA bit decoding, SCL classes, and sensor mask presets	—
radiometry		Sensor-agnostic radiometric transforms	—
restore		Restoration primitives and Operators for imperfect remote-sensing data	—
segment		Segmentation operators backed by :mod:skimage.segmentation	—
spectral		Band-space operators for spectral remote-sensing workflows	—
transforms		—	Generic transforms — Fourier, wavelet, DCT, and learned decompositions
utils		—	Cross-cutting utilities — domain-agnostic helpers reused across modules
wavelets		—	Wavelets — 1-D/2-D transforms, spectra, significance, along-track band-pass