Operational Land Imager
E399065
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.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Operational Land Imager 2 | 2 |
| Operational Land Imager canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3918687 — 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: Operational Land Imager Context triple: [Landsat satellites, Landsat 8:primaryInstruments, Operational Land Imager]
-
A.
HySI (Hyper Spectral Imager)
HySI (Hyper Spectral Imager) is a spaceborne imaging spectrometer designed to capture high-resolution hyperspectral data of the lunar surface for mineralogical and compositional analysis.
-
B.
Visible Infrared Imaging Radiometer Suite
The Visible Infrared Imaging Radiometer Suite (VIIRS) is a key Earth-observing sensor that collects high-resolution visible and infrared imagery for weather, climate, ocean, and environmental monitoring from polar-orbiting satellites.
-
C.
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.
-
D.
Shuttle Imaging Radar-B
Shuttle Imaging Radar-B was a spaceborne synthetic aperture radar instrument flown on the Space Shuttle to study Earth's surface and environmental features through all-weather, day-and-night imaging.
-
E.
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.
- 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: Operational Land Imager Target entity description: 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.
-
A.
HySI (Hyper Spectral Imager)
HySI (Hyper Spectral Imager) is a spaceborne imaging spectrometer designed to capture high-resolution hyperspectral data of the lunar surface for mineralogical and compositional analysis.
-
B.
Visible Infrared Imaging Radiometer Suite
The Visible Infrared Imaging Radiometer Suite (VIIRS) is a key Earth-observing sensor that collects high-resolution visible and infrared imagery for weather, climate, ocean, and environmental monitoring from polar-orbiting satellites.
-
C.
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.
-
D.
Shuttle Imaging Radar-B
Shuttle Imaging Radar-B was a spaceborne synthetic aperture radar instrument flown on the Space Shuttle to study Earth's surface and environmental features through all-weather, day-and-night imaging.
-
E.
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.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation instrument
ⓘ
multispectral imaging sensor ⓘ pushbroom imaging sensor ⓘ |
| calibration |
geometrically calibrated
ⓘ
radiometrically calibrated ⓘ |
| captures | high-resolution images of Earth’s land surfaces ⓘ |
| dataPolicy | free and open data access ⓘ |
| dataType | multispectral imagery ⓘ |
| developedBy |
Ball Aerospace
ⓘ
surface form:
Ball Aerospace & Technologies Corp.
|
| hasBand |
blue band
ⓘ
cirrus band ⓘ coastal aerosol band ⓘ green band ⓘ near infrared band ⓘ panchromatic band ⓘ red band ⓘ shortwave infrared band 1 ⓘ shortwave infrared band 2 ⓘ |
| imagingTechnique | pushbroom scanning ⓘ |
| launchDate | 2013-02-11 ⓘ |
| launchVehicle | Atlas V 401 (via Landsat 8) ⓘ |
| locatedOn |
Landsat 8
ⓘ
surface form:
Landsat 8 satellite platform
|
| mission |
Landsat satellites
ⓘ
surface form:
Landsat program
|
| operator |
NASA
ⓘ
United States Geological Survey ⓘ |
| orbitType | sun-synchronous orbit ⓘ |
| partOf | Landsat 8 ⓘ |
| purpose |
agricultural monitoring
ⓘ
climate and ecosystem studies ⓘ disaster monitoring ⓘ environmental monitoring ⓘ land-cover mapping ⓘ land-use analysis ⓘ water resources assessment ⓘ |
| radiometricResolution | 12-bit ⓘ |
| revisitTime | 16 days with Landsat 8 ⓘ |
| spatialResolution |
15 meters for panchromatic band
ⓘ
30 meters for most multispectral bands ⓘ |
| spectralRange |
near infrared
ⓘ
shortwave infrared ⓘ visible ⓘ |
| successorTo |
Landsat 7
ⓘ
surface form:
Enhanced Thematic Mapper Plus
|
| swathWidth | approximately 185 kilometers ⓘ |
| usedFor |
change detection
ⓘ
forest cover monitoring ⓘ glacier and ice monitoring ⓘ global land surface monitoring ⓘ urban expansion studies ⓘ |
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: Operational Land Imager Description of subject: 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.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Operational Land Imager 2