⌘ Fusion patterns
Recipes
Cross-dataset fusion patterns for joining multiple DAACs, instruments, and formats in one workflow without juggling auth flows.
r01·intermediate-advanced
Cross-DAAC composition — joining HLS + GEDI + ICESat-2 + SMAP in one workflow
The fact that different NASA datasets live at different DAACs is a 1990s organizational artifact, not a meaningful boundary. Modern science questions …
r02·advanced
Foundation model on NASA data — from Hugging Face checkpoint to working inference
Research D Pattern C — Surya and Prithvi-EO 2.0 are open on Hugging Face, but the path from 'pip install' to 'working forecast' is multi-step engineer…
r03·intermediate
Multi-scale spatial fusion — joining 30 m, 70 m, 250 m, and 1 km observations
Most NASA science questions cross spatial resolutions — MODIS resolves the planet daily at 1 km, Landsat resolves the pixel weekly at 30 m. Stacking t…
r04·beginner-intermediate
Anomaly vs climatology — comparing this year to the long-term normal
Almost every 'is X unusual?' question — drought, marine heatwave, low snowpack, methane spike — is fundamentally an anomaly-vs-climatology computation…
r05·intermediate
Near-real-time disaster response — fire, flood, hurricane in the first 24 hours
Disaster windows are measured in hours, not weeks. The standard analysis-grade products (3-month-latency IMERG, monthly MCD64A1) are useless for first…