eomatch.finder.sat2sat.Sat2SatMUFinder

class eomatch.finder.sat2sat.Sat2SatMUFinder(*args: Any, **kwargs: Any)

Finder for collocated pairs of satellite image products.

Wraps the full satellite-to-satellite matchup discovery pipeline:

1. Run orbitx (or load a cached NetCDF) to obtain crossover events.

2. Filter events against the spatial/temporal bounds in the context config.

3. Convert each event to a MatchupEvent.

4. For each event, query scrappi per platform, check geometric overlap, and build Matchup objects.

5. Return the full list of MatchupEvent objects, each carrying its MatchupSet.

Example usage:

from eomatch import EOMatchContext
from eomatch.finder.sat2sat import Sat2SatMUFinder

ctx = EOMatchContext("my_config.yaml")
finder = Sat2SatMUFinder(context=ctx)
events = finder.finder()

__init__(context: dict | str | None = None) → None

Initialise the finder.

Parameters:

context – EOMatchContext (or a dict/path accepted by the parent BaseProcessor) supplying runtime configuration. Defaults to EOMatchContext().

Methods

__init__([context])	Initialise the finder.
all_products_overlap(products)	Return True if every pair of products in products has a non-empty geometric intersection.
filter_events(data)	Filter a list of raw orbitx events against the bounds in the context config.
filter_overlapping_products(productitem, ...)	Return the subset of productitemset whose geometry overlaps productitem.
finder()	Run the full matchup discovery pipeline.
get_orbitx_ds()	Return an orbitx matchup dataset, either from a cached NetCDF or by running the propagator.
has_products(product_array)	Return True if product_array is non-None and non-empty.
run_scrappi(query[, context])	Execute a single scrappi query and return the matching products.
to_matchup_event(events)	Convert raw orbitx event dicts to MatchupEvent objects.
to_matchup_set(mu_events)	Query scrappi for each event and build per-event MatchupSet objects.