LISS-II
E900006
LISS-II is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LISS-II canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11001860 — 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: LISS-II Context triple: [IRS-1B, secondaryInstrument, LISS-II]
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A.
LISS-I
LISS-I is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
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B.
LISS-I sensor
The LISS-I sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
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C.
LSS
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
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D.
LS2
LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
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E.
LSL
LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: LISS-II Target entity description: LISS-II is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
-
A.
LISS-I
LISS-I is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
-
B.
LISS-I sensor
The LISS-I sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
-
C.
LSS
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
-
D.
LS2
LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
-
E.
LSL
LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation instrument
ⓘ
multispectral imaging sensor ⓘ |
| abbreviationFor | Linear Imaging Self-Scanning Sensor-II NERFINISHED ⓘ |
| application |
agriculture monitoring
ⓘ
crop acreage estimation ⓘ environmental monitoring ⓘ land-cover mapping ⓘ land-use mapping ⓘ natural resources management ⓘ |
| countryOfOrigin | India ⓘ |
| dataFormat | satellite imagery ⓘ |
| dataType |
digital imagery
ⓘ
multispectral raster data ⓘ |
| dataUser |
Indian agricultural agencies
ⓘ
land-use planners ⓘ remote sensing researchers ⓘ |
| operatedBy | Indian Space Research Organisation NERFINISHED ⓘ |
| partOfProgram | Indian Remote Sensing Programme NERFINISHED ⓘ |
| platformType | sun-synchronous orbit satellite ⓘ |
| primaryUse | Earth observation ⓘ |
| scanMechanism | pushbroom scanner ⓘ |
| spatialResolutionClass | medium resolution ⓘ |
| spectralBand |
near infrared
ⓘ
visible ⓘ |
| spectralType | multispectral ⓘ |
| successor |
LISS-III
NERFINISHED
ⓘ
LISS-IV NERFINISHED ⓘ |
| usedFor |
regional scale mapping
ⓘ
resource inventory ⓘ thematic mapping ⓘ |
| usedOnSatellite |
IRS-1A
NERFINISHED
ⓘ
IRS-1B NERFINISHED ⓘ |
| usedOnSatelliteSeries | Indian Remote Sensing (IRS) satellites NERFINISHED ⓘ |
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: LISS-II Description of subject: LISS-II is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.