d027·dataset
Cloud-proof radar, ready to use
OPERA Radiometric Terrain-Corrected Sentinel-1 Backscatter
ASF DAAC OPERA_L2_RTC-S1 cloud-native 30 m 12-day (single) / 6-day (constellation) COG landwateragriculture
Analysis-ready Sentinel-1 backscatter — no SAR experience needed. The recommended starting point for users new to SAR.
OPERA Radiometric Terrain-Corrected Sentinel-1 Backscatter
Analysis-ready Sentinel-1 backscatter — no SAR experience needed. The recommended starting point for users new to SAR.
Access
- Python (earthaccess):
short_name='OPERA_L2_RTC-S1_V1' - Portal: https://search.asf.alaska.edu/#/?dataset=OPERA-S1
Gotchas
- COG output; significantly easier than raw GRD
- Resolution is 30m, not 10m — the resampling cost for analysis-ready
- VV+VH polarization standard
Related
- Other datasets: d026
Sources
The access details, code, and sources below are kept in the original English for technical accuracy.
Quick access (cloud-direct)
import earthaccess
earthaccess.login(strategy="netrc")
results = earthaccess.search_data(
short_name="OPERA_L2_RTC-S1_V1",
bounding_box=(-122.5, 37.2, -121.8, 37.9),
temporal=("2024-01-01", "2024-12-31"),
)
files = earthaccess.open(results) # stream from ASF DAAC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. 📚 Problem Finder KB
3 matching entries in the Knowledge Base:
§14 Glossary
**DeCUR** (S1 / S2)
Multi-modal SSL method
**SSL4EO** (S1 / S2)
EO pretraining dataset/method
OPERA
Observational Products for End-Users from Remote-sensing Analysis (NASA JPL) — incl. the **DISP-S1** surface-displacement (InSAR) product suite