JJ-FAST (JICA-JAXA Forest Early Warning System in the Tropics)
Compiled from public sources on 2026-05-24. Not independently verified by Japan Aerospace Exploration Agency.
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JJ-FAST (JICA-JAXA Forest Early Warning System in the Tropics) is an L3 deforestation alert product derived from ALOS-2 PALSAR-2 ScanSAR acquisitions, distributed by JAXA EORC.[1] The system operates independently of cloud cover by exploiting L-band SAR backscatter, generating alerts across tropical forest regions in Southeast Asia, the Congo Basin, and the Amazon.
The product resolution is cited at 100 m in some eoPortal documentation for the PALSAR-2 Wide ScanSAR mode;[2] the JAXA Earth-graphy data page states a 50 m output grid for JJ-FAST delivery.[3] According to JAXA site documentation reviewed in May 2026, the minimum mapping unit is 1.5 hectares as of algorithm version 4.0, and a version 4.2 release from April 2026 is referenced on the JJ-FAST portal. A terrain-induced false-detection mask based on the ALOS World 3D DEM was added to the processing chain in July 2023.[1]
The product update cycle is approximately 42 days, driven by ALOS-2's 14-day orbital repeat combined with ScanSAR tile composition and processing latency.[4] This is slower than optical alert systems under clear-sky conditions and slower than the RADD SAR alert system. Accuracy statistics are not confirmed from a publicly accessible primary source; the underlying algorithm paper is paywalled.[4] Data are available open-access via the JJ-FAST portal subject to registration.
Pricing not publicly listed by operator
Compositional position
- [1]JJ-FAST, JICA-JAXA Forest Early Warning System in the Tropics, JAXA EORC portalagency doc2026-05-24
- [2]JICA-JAXA Forest Early Warning System in the Tropics (JJ-FAST), JAXA Earth-graphyagency doc2026-05-24
- [3]ALOS-2 mission overview including PALSAR-2 spec, eoPortalcommunity2026-05-24
- [4]Refined algorithm for forest early warning system with ALOS-2/PALSAR-2 ScanSAR data in tropical forest regions, Watanabe et al. 2021, Remote Sensing of Environmentpeer reviewed2026-05-24