Landsat 9
E400949
Landsat 9 is a NASA and USGS Earth observation satellite that continues the decades-long Landsat program by collecting high-resolution multispectral imagery to monitor and study changes on the planet’s surface.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Landsat 9 canonical | 2 |
| Landsat 9 OLI-2/TIRS-2 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3918677 — 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.
Target entity: Landsat 9 Context triple: [Landsat satellites, hasMember, Landsat 9]
-
A.
Landsat satellites
Landsat satellites are a series of Earth-observing spacecraft that provide long-term, continuous multispectral imagery used worldwide for environmental monitoring, land-use mapping, and resource management.
-
B.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
C.
Lunar Reconnaissance Orbiter
Lunar Reconnaissance Orbiter is a NASA robotic spacecraft launched in 2009 to map the Moon’s surface in high detail and search for resources such as water ice.
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D.
Operational Land Imager
The Operational Land Imager is a multispectral imaging sensor on Landsat 8 designed to capture high-resolution, calibrated images of Earth’s land surfaces for environmental monitoring and land-use analysis.
-
E.
NOAA-20
NOAA-20 is a U.S. polar-orbiting weather and environmental satellite operated by NOAA that provides critical data for global weather forecasting and climate monitoring.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Landsat 9 Target entity description: Landsat 9 is a NASA and USGS Earth observation satellite that continues the decades-long Landsat program by collecting high-resolution multispectral imagery to monitor and study changes on the planet’s surface.
-
A.
Landsat satellites
Landsat satellites are a series of Earth-observing spacecraft that provide long-term, continuous multispectral imagery used worldwide for environmental monitoring, land-use mapping, and resource management.
-
B.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
C.
Lunar Reconnaissance Orbiter
Lunar Reconnaissance Orbiter is a NASA robotic spacecraft launched in 2009 to map the Moon’s surface in high detail and search for resources such as water ice.
-
D.
Operational Land Imager
The Operational Land Imager is a multispectral imaging sensor on Landsat 8 designed to capture high-resolution, calibrated images of Earth’s land surfaces for environmental monitoring and land-use analysis.
-
E.
NOAA-20
NOAA-20 is a U.S. polar-orbiting weather and environmental satellite operated by NOAA that provides critical data for global weather forecasting and climate monitoring.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation satellite
ⓘ
Landsat program satellite ⓘ artificial satellite ⓘ |
| altitude | about 705 kilometers ⓘ |
| basedOn | Landsat 8 design ⓘ |
| bus | Landsat 8–class bus ⓘ |
| contemporaryWith | Landsat 8 ⓘ |
| country | United States of America ⓘ |
| dataDistributor |
USGS EarthExplorer
ⓘ
USGS GloVis ⓘ |
| dataPolicy | free and open access ⓘ |
| firstLight | 2021-10 ⓘ |
| imageUse |
agricultural monitoring
ⓘ
forest change detection ⓘ land cover classification ⓘ urban expansion analysis ⓘ water resources assessment ⓘ |
| inclination | 98.2 degrees ⓘ |
| instrument |
OLI-2
ⓘ
TIRS ⓘ
surface form:
TIRS-2
|
| launchContractor | United Launch Alliance ⓘ |
| launchDate | 2021-09-27 ⓘ |
| launchSite |
Space Launch Complex 3
ⓘ
surface form:
Space Launch Complex 3E
Vandenberg Space Force Base ⓘ |
| launchVehicle | Atlas V 401 ⓘ |
| localTimeOfDescendingNode | 10:00 ⓘ |
| manufacturer |
Northrop Grumman
ⓘ
Northrop Grumman ⓘ
surface form:
Northrop Grumman Innovation Systems
|
| missionStart | 2021 ⓘ |
| missionType | Earth observation ⓘ |
| operationalStatus | operational ⓘ |
| operator |
NASA
ⓘ
United States Geological Survey ⓘ |
| orbitalPeriod | about 99 minutes ⓘ |
| orbitRegime |
low Earth orbit
ⓘ
surface form:
Low Earth orbit
|
| orbitType | Sun-synchronous orbit ⓘ |
| payload |
Operational Land Imager
ⓘ
surface form:
Operational Land Imager 2
Thermal Infrared Sensor ⓘ
surface form:
Thermal Infrared Sensor 2
|
| program |
Landsat satellites
ⓘ
surface form:
Landsat program
|
| purpose |
climate change studies
ⓘ
disaster monitoring ⓘ environmental monitoring ⓘ land surface monitoring ⓘ resource management ⓘ |
| repeatCycle | 16 days ⓘ |
| spatialResolution |
100 meters
ⓘ
15 meters ⓘ 30 meters ⓘ |
| spectralBands | 11 ⓘ |
| successorOf | Landsat 7 ⓘ |
| swathWidth | 185 kilometers ⓘ |
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.
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.
Subject: Landsat 9 Description of subject: Landsat 9 is a NASA and USGS Earth observation satellite that continues the decades-long Landsat program by collecting high-resolution multispectral imagery to monitor and study changes on the planet’s surface.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.