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 |
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 ⓘ
surface form:
Baikonur Cosmodrome Site 31/6
|
| launchVehicle |
Soyuz rocket
ⓘ
surface form:
Soyuz-FG/Fregat
|
| manufacturer | MDA ⓘ |
| maximumResolution | approximately 3 m ⓘ |
| missionType |
Earth observation
ⓘ
remote sensing ⓘ |
| operator |
Canadian Space Agency
ⓘ
MDA ⓘ |
| orbitalPeriod | approximately 100 minutes ⓘ |
| orbitRegime |
low Earth orbit
ⓘ
surface form:
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.
subject surface form:
Canadian Space Agency