LISS-II sensor
E900004
The LISS-II 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.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Wide Field Sensor | 2 |
| LISS-II sensor canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11001821 — 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: LISS-II sensor Context triple: [IRS-1A, payload, LISS-II sensor]
-
A.
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.
-
B.
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.
-
C.
Thermal Infrared Sensor
The Thermal Infrared Sensor (TIRS) is a Landsat 8 instrument that measures Earth’s thermal radiation to monitor surface temperature and support applications such as water management and climate studies.
-
D.
Linear Imaging Self-Scanning Sensor-I
Linear Imaging Self-Scanning Sensor-I (LISS-I) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
-
E.
Laser Ranging Instrument
The Laser Ranging Instrument is a scientific device used to measure precise distances—such as between a spacecraft and a celestial body—by timing the travel of laser pulses.
- 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: LISS-II sensor Target entity description: The LISS-II 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.
-
A.
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.
-
B.
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.
-
C.
Thermal Infrared Sensor
The Thermal Infrared Sensor (TIRS) is a Landsat 8 instrument that measures Earth’s thermal radiation to monitor surface temperature and support applications such as water management and climate studies.
-
D.
Linear Imaging Self-Scanning Sensor-I
Linear Imaging Self-Scanning Sensor-I (LISS-I) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
-
E.
Laser Ranging Instrument
The Laser Ranging Instrument is a scientific device used to measure precise distances—such as between a spacecraft and a celestial body—by timing the travel of laser pulses.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation instrument
ⓘ
multispectral imaging sensor ⓘ |
| abbreviationFor | Linear Imaging Self Scanner-II NERFINISHED ⓘ |
| countryOfOrigin | India ⓘ |
| dataFormat | digital imagery ⓘ |
| dataType | medium-resolution Earth observation data ⓘ |
| dataUse |
crop acreage estimation
ⓘ
drought assessment ⓘ environmental monitoring ⓘ land cover classification ⓘ |
| dataUsers |
environmental planners
ⓘ
government agencies ⓘ research institutions ⓘ |
| developedBy | Indian Space Research Organisation NERFINISHED ⓘ |
| hostSatelliteLaunchYear |
1988
ⓘ
1991 ⓘ |
| imagingMode | pushbroom scanning ⓘ |
| launchVehicleUsedForHostSatellites | Vostok launcher NERFINISHED ⓘ |
| numberOfSpectralBands | 4 ⓘ |
| operator | Indian Space Research Organisation ⓘ |
| orbitTypeOfHostSatellites | sun-synchronous polar orbit ⓘ |
| partOfProgram | Indian Remote Sensing satellite programme NERFINISHED ⓘ |
| primaryApplication |
agriculture monitoring
ⓘ
forestry applications ⓘ land-use mapping ⓘ natural resources management ⓘ |
| spatialResolution | 36.25 metres ⓘ |
| spectralBand |
near infrared
ⓘ
short-wave infrared ⓘ visible ⓘ |
| spectralType | multispectral ⓘ |
| successor |
LISS-III sensor
NERFINISHED
ⓘ
LISS-IV sensor NERFINISHED ⓘ |
| swathWidth | about 146 kilometres ⓘ |
| typicalRevisitPeriodViaHostSatellites | 22 days GENERATED ⓘ |
| usedFor |
disaster management support
ⓘ
resource inventory ⓘ urban planning ⓘ watershed management ⓘ |
| usedOnSpacecraft |
IRS-1A
NERFINISHED
ⓘ
IRS-1B NERFINISHED ⓘ early Indian Remote Sensing satellites ⓘ |
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: LISS-II sensor Description of subject: The LISS-II 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.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Wide Field Sensor
this entity surface form:
Wide Field Sensor