Data and sources

Every product AlterEcho uses or has evaluated, with exact IDs, what it is used for and what it is not. Scored evidence, context, display imagery and checks are kept separate. The interactive app never calls a data provider when you click; showcase results come from versioned artifacts produced by the scripts listed at the end.

Why each dataset is used

What each product measures, which calculation uses it, native versus analysis resolution, and what it cannot establish. Display imagery never enters a number.

Product registry

Open machine-readable provenance — exact local file checksums, source roles, AOI validation and audit scope. Null metadata means it has not been established.

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Product	Body · dimension	Role in AlterEcho	Resolution · period	Access	AOIs	Limitations

Source manifests (terrain inputs)

Orientation globes

Body	Mosaic	Attribution	Terms
earth	Blue Marble: Next Generation with shaded relief and bathymetry (GIBS layer BlueMarble_ShadedRelief_Bathymetry)	NASA Earth Observatory Blue Marble: Next Generation, via NASA GIBS	NASA imagery is generally not subject to copyright in the U.S.; credit NASA. No NASA endorsement implied.
mars	Mars Viking Colorized Global Mosaic 925 m	USGS Astrogeology / NASA Viking — colour mosaic	USGS-authored data are public domain; cite USGS Astrogeology.
moon	CGI Moon Kit — LRO LROC WAC colour map (2k)	NASA SVS CGI Moon Kit — LRO LROC WAC	NASA SVS media are generally free to use with NASA credit.

Reproduce (Git Bash, from backend/)

python -m app.scripts.validate_catalog_integrity
python -m app.scripts.register_phase7_sites                 # AOIs, manifests, catalog entries
EARTHDATA_TOKEN=… python -m app.scripts.acquire_dataset --source-id earth-danakil-srtmgl1
python -m app.scripts.process_site_v3 --site-id earth-danakil --aoi-id earth-danakil-aoi-v1 --source-id earth-danakil-srtmgl1 --input data/raw/N14E040.hgt
python -m app.scripts.register_lunar_reference              # LOLA clip in metres + manifest
python -m app.scripts.acquire_planetary_computer_imagery --site-id earth-ladakh --aoi-id earth-ladakh-aoi-v1
python -m app.scripts.acquire_modis_lst ; python -m app.scripts.acquire_meda_ground_temperature
python -m app.scripts.terrain_v4_evaluation                 # placement, DEM, base rate, redundancy, MOLA
python -m app.scripts.refresh_gibs_date
python -m app.scripts.assess_aoi_landcover                  # ESA WorldCover built-up check per Earth window
python -m app.scripts.register_atacama_south                # Phase 9 uncontaminated Atacama window
python -m app.scripts.analogue_v1_calibration               # terrain-v5 quantiles, resolution floor, tau, negatives
python -m app.scripts.phase9_audit                          # v4 -> v1.0 decomposition tables