{"resourceId":"ororatech-ot-nrt-nasa-guide-20260902","versions":[{"version":"external-d9c78240a1625a147c9bdef64393832f21de0cc20cad8e82e6d2122efd17a0ec","resource":{"id":"ororatech-ot-nrt-nasa-guide-20260902","title":"NASA CSDA hosts OroraTech OT-NRT guide: 8-satellite onboard-AI wildfire product in closed beta","organization":"OroraTech (product guide hosted on NASA Science / CSDA)","sector":"Commercial wildfire satellite detection / civil Earth observation","geography":"Global product with North America among covered regions; vendor Germany/EU-based constellation ops","publishedAt":"2026-09-02","publicationDate":"2026-09-02","eventDate":"2026-09-02","sourceName":"NASA Science (CSDA vendor materials) / OroraTech Product User Guide","sourceLabel":"OroraTech Near Real Time Active Fire (OT-NRT) Product User Guide v1.0.2","sourceUrl":"https://science.nasa.gov/wp-content/uploads/2026/09/ororatech-level-2-activefire-product-user-guide-v1-0-2-public.pdf","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["infrastructure","data-security","operating-model","governance-procurement"],"finding":"OroraTech’s 2 Sep 2026 OT-NRT Product User Guide (v1.0.2), hosted on NASA Science CSDA paths, describes an eight-satellite thermal constellation (OTC-P1) with 200 m GSD SAFIRE instruments that run onboard AI hotspot detection and deliver up to two daily scans (~4 am/4 pm local) via Wildfire Solution WFS/API. Product maturity is labeled Closed Beta. A June 2026 ESA OPT-MPC assessment cited joint detection rates of 77.8% vs VIIRS and 96.1% vs MTG on a limited dataset still subject to change. The guide states industrial heat and solar-farm reflections can create false positives and that small/cool/obscured fires or missed overpasses can cause omissions.","sledRelevance":"Gives U.S. SLED fire/EM buyers a concrete wildfire-satellite AI product spec—resolution, revisit, onboard AI, confidence metadata, and FP/FN modes—distinct from already-archived ALERTCalifornia/ALERTWest camera and FireSat first-light coverage. Why now: Sept 2026 NASA-hosted guide and June 2026 ESA CCM metrics were not in the emergency-services archive and are newly relevant as Western agencies compare camera nets to commercial thermal constellations.","evidence":"Opened the NASA-hosted PDF via curl (SLED-research-bot/1.0) and extracted text with pdftotext. Confirmed v1.0.2 date 02 Sep 2026; 8 satellites; 200 m; onboard AI wording; joint detection 77.8%/96.1%; closed beta; industrial/solar FP and small/cool miss limitations.","architectureImplications":"Treat OT-NRT as a NRT hotspot/cluster feed into CAD/wildfire common operating pictures via WFS API—not as standalone dispatch authority. Plan for ~0.5-day revisit, afternoon-burn orbit niche, and multi-source cluster fusion with public VIIRS/MODIS/GOES.","governanceImplications":"Require written acceptance of Closed Beta status, published confidence thresholds for auto-notify vs human verify, and change-control when ESA metrics or onboard models update.","securityPrivacyImplications":"API keys and monitored AOIs are operationally sensitive; apply least-privilege WFS credentials, logging, and no public exposure of tasked emergency AOIs beyond intentional public feeds.","caveats":"Vendor product guide; ESA joint-detection figures are preliminary on a limited dataset and may change; Closed Beta; not an independent U.S. fire-agency outcome evaluation; NASA hosting is distribution, not NASA endorsement of operational readiness.","streamIds":["emergency-services"],"roles":{"sales":"Frame OroraTech’s NASA-hosted OT-NRT guide as a wildfire early-detection feed with 200 m thermal hotspots, onboard AI, and twice-daily afternoon/morning revisits—not a turnkey dispatch replacement. Discovery should map current FIRMS/VIIRS latency, camera coverage gaps, and who verifies smoke before engine response. Bounded engagement: seasonal pilot comparing OT-NRT cue time and false-positive burden against existing lookout/camera workflows under Closed Beta terms. Unsupported claims include guaranteed detection of every ignition, full 20-minute global revisit, or NASA operational endorsement.","engineering":"Fit is a WFS/API hotspot and cluster ingestion layer into wildfire COP/CAD with confidence filters and solar-farm/industry flags. Architecture should fuse OT-NRT with public active-fire layers, retain acquisition/detection timestamps, and gate auto-notify. Prerequisites include AOI tasking, API auth, and human-verify SOP. Constraints: Closed Beta, ~0.5-day revisit, ESA metrics still refining. Proof of value is measured cue lead time and FP rate under local fuels/weather, not joint-detection headlines alone.","delivery":"Delivery work includes AOI configuration, dispatcher/intel training on confidence and cluster types, and runbooks for industrial/solar false positives. Dependencies span fire aviation/intel, ECC, GIS, and vendor support during beta. Ownership of verify-before-alert stays with fire duty officers. Acceptance criteria: logged human verification of pages before public warning and monthly FP/FN review. Risks include over-trust in beta metrics, missed small/cool fires between overpasses, and opaque onboard model updates."},"roleDetails":{"sales":{"customerProblem":"Agencies need earlier wildfire cues in the afternoon burn window when many public satellites are sparse.","stakeholders":["Fire chiefs","Wildfire intel/aviation","ECC/dispatch","County EM","GIS/IT"],"discoveryQuestions":["What is current VIIRS/FIRMS latency for your AOI?","Who verifies AI/camera alerts before engines?","Where are camera-network gaps?","What FP rate is operationally tolerable?"],"valueHypothesis":"A 200 m thermal constellation with onboard AI may cue detections when cameras/911 are late—if humans still verify and beta limits are accepted.","potentialEngagement":"One-season Closed Beta pilot with cue-time and FP KPIs versus current detection stack.","unsupportedClaims":["Every ignition detected","NASA certified operational readiness","Replaces cameras or lookouts","Fixed 20-minute global revisit today"]},"engineering":{"fit":"NRT hotspot/cluster feed into wildfire COP with human-verify gates.","architectureIntegration":"OT-NRT WFS/API → cluster/confidence filter → CAD/COP layer → duty-officer verify → optional public alert.","prerequisites":["AOI tasking","API credentials","Multi-source fire layer","Verify SOP"],"constraints":["Closed Beta","~2 scans/day","Industrial/solar FP modes","ESA metrics may change"],"security":"Protect WFS keys and tasked AOIs; log access; avoid leaking sensitive monitoring polygons.","proofOfValue":["Median cue lead vs 911/camera","FP rate after human filter","Missed fires found later by other means"]},"delivery":{"work":"Configure AOIs, train intel/dispatch on confidence/cluster types, and stand up FP review.","dependencies":["Fire intel","ECC","GIS","Vendor beta support"],"ownership":"Fire duty officer owns verify-before-alert; GIS owns feed health.","skillsAdoption":"Teach interpreters to treat confidence as triage, not truth.","governanceCheckpoints":["Monthly FP/FN review","Beta metric change notice","Public-alert policy check"],"acceptanceCriteria":["100% human verify before public warning","Logged acquisition/detection times","Documented solar/industry handling"],"risks":["Beta over-trust","Missed small/cool fires","Unannounced model updates"]}},"retrievedAt":"2026-09-30T22:13:14-05:00","enrichedAt":"2026-09-29T22:00:26-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Dispatchers/fire intel still need training to interpret confidence, cluster types (e.g., industry vs vegetation), and when to wait for corroborating 911/camera reports.","procurementImplications":"Compete thermal constellation subscriptions against camera networks using revisit, GSD, FP handling (solar farms), data rights, and beta exit criteria—not marketing ‘AI onboard’ alone.","operatingModelImplications":"Keep human verification before public alerts/evacuations; use OT-NRT to cue lookouts/aircraft, not to replace them.","sourceVerification":{"responseId":"reopen-nasa-2026-09-30T221314-0500","openedUrl":"https://science.nasa.gov/wp-content/uploads/2026/09/ororatech-level-2-activefire-product-user-guide-v1-0-2-public.pdf","referenceExcerpt":"The joint detection rate reached 77.8% against VIIRS, and 96.1% against MTG","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}