RADARSAT-2
E46127
RADARSAT-2 is a Canadian Earth observation satellite equipped with advanced synthetic aperture radar (SAR) technology used for environmental monitoring, resource management, and surveillance.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RADARSAT-2 canonical | 9 |
How this entity was disambiguated
This entity first appeared as the object of triple T364035 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RADARSAT-2 Context triple: [Canadian Space Agency, operates, RADARSAT-2]
-
A.
Suomi NPP satellite
The Suomi NPP satellite is a joint NASA–NOAA Earth-observing mission that provides critical weather, climate, and environmental data as a bridge between earlier Earth observation satellites and the next-generation JPSS series.
-
B.
Joint Polar Satellite System
The Joint Polar Satellite System is a series of next-generation U.S. polar-orbiting weather satellites that provide critical data for global weather forecasting, climate monitoring, and environmental observation.
-
C.
Deep Space Climate Observatory
The Deep Space Climate Observatory (DSCOVR) is a NOAA and NASA satellite positioned at the Sun–Earth L1 Lagrange point that continuously monitors solar wind conditions and provides real-time space weather and Earth observation data.
-
D.
Geostationary Operational Environmental Satellite program
The Geostationary Operational Environmental Satellite (GOES) program is a series of U.S. weather satellites in geostationary orbit that provide continuous monitoring of atmospheric, oceanic, and environmental conditions for forecasting and research.
-
E.
H2S radar
H2S radar was a World War II-era British airborne ground-mapping radar system used by bombers for navigation and target identification, especially at night and in poor weather.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RADARSAT-2 Target entity description: RADARSAT-2 is a Canadian Earth observation satellite equipped with advanced synthetic aperture radar (SAR) technology used for environmental monitoring, resource management, and surveillance.
-
A.
Suomi NPP satellite
The Suomi NPP satellite is a joint NASA–NOAA Earth-observing mission that provides critical weather, climate, and environmental data as a bridge between earlier Earth observation satellites and the next-generation JPSS series.
-
B.
Joint Polar Satellite System
The Joint Polar Satellite System is a series of next-generation U.S. polar-orbiting weather satellites that provide critical data for global weather forecasting, climate monitoring, and environmental observation.
-
C.
Deep Space Climate Observatory
The Deep Space Climate Observatory (DSCOVR) is a NOAA and NASA satellite positioned at the Sun–Earth L1 Lagrange point that continuously monitors solar wind conditions and provides real-time space weather and Earth observation data.
-
D.
Geostationary Operational Environmental Satellite program
The Geostationary Operational Environmental Satellite (GOES) program is a series of U.S. weather satellites in geostationary orbit that provide continuous monitoring of atmospheric, oceanic, and environmental conditions for forecasting and research.
-
E.
H2S radar
H2S radar was a World War II-era British airborne ground-mapping radar system used by bombers for navigation and target identification, especially at night and in poor weather.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation satellite
ⓘ
synthetic aperture radar satellite ⓘ |
| altitude | approximately 798 km ⓘ |
| application |
agriculture monitoring
ⓘ
defence and security ⓘ disaster management ⓘ environmental monitoring ⓘ forestry monitoring ⓘ land use mapping ⓘ maritime surveillance ⓘ oil spill detection ⓘ resource management ⓘ sea ice monitoring ⓘ |
| capability |
all-weather imaging
ⓘ
day-and-night imaging ⓘ high-resolution SAR imaging ⓘ |
| cooperatingAgency | Canadian Space Agency ⓘ |
| countryOfOrigin | Canada ⓘ |
| dataPolicy | commercial data distribution ⓘ |
| dataType | radar imagery ⓘ |
| imagingModes |
ScanSAR mode
ⓘ
Spotlight mode ⓘ Stripmap mode ⓘ |
| inclination | 98.6 degrees ⓘ |
| launchDate | 2007-12-14 ⓘ |
| launchSite |
Baikonur Cosmodrome
ⓘ
Baikonur Cosmodrome Site 31/6 ⓘ
linked to:
Baikonur Cosmodrome
|
| launchVehicle |
Soyuz-FG/Fregat
ⓘ
linked to:
Soyuz rocket
|
| manufacturer | MDA ⓘ |
| maximumResolution | approximately 3 m ⓘ |
| missionType |
Earth observation
ⓘ
remote sensing ⓘ |
| operator |
Canadian Space Agency
ⓘ
MDA ⓘ |
| orbitalPeriod | approximately 100 minutes ⓘ |
| orbitRegime |
Low Earth orbit
ⓘ
linked to:
low Earth orbit
|
| orbitType | Sun-synchronous orbit ⓘ |
| owner | MDA ⓘ |
| polarizationModes |
dual polarization
ⓘ
quad polarization ⓘ single polarization ⓘ |
| powerSource | solar panels ⓘ |
| predecessor | RADARSAT-1 ⓘ |
| primaryInstrument | C-band synthetic aperture radar ⓘ |
| program | RADARSAT program ⓘ |
| radarBand | C-band ⓘ |
| repeatCycle | 24 days ⓘ |
| status | operational ⓘ |
| successor | RADARSAT Constellation Mission ⓘ |
| swathWidthRange | 20 to 500 km ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: RADARSAT-2 Description of subject: RADARSAT-2 is a Canadian Earth observation satellite equipped with advanced synthetic aperture radar (SAR) technology used for environmental monitoring, resource management, and surveillance.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.