LISS-I sensor
E898963
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LISS-I sensor canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11001820 — 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-I sensor Context triple: [IRS-1A, payload, LISS-I sensor]
-
A.
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.
-
B.
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.
-
C.
LISA line
The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
-
D.
IRS-1D
IRS-1D is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
E.
T-SAGE instrument
The T-SAGE instrument is a highly sensitive space-based accelerometer system designed to test the equivalence principle with unprecedented precision aboard the MICROSCOPE satellite.
- 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-I sensor Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
LISA line
The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
-
D.
IRS-1D
IRS-1D is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
E.
T-SAGE instrument
The T-SAGE instrument is a highly sensitive space-based accelerometer system designed to test the equivalence principle with unprecedented precision aboard the MICROSCOPE satellite.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation instrument
ⓘ
multispectral imaging sensor ⓘ |
| application |
agriculture monitoring
ⓘ
forestry applications ⓘ land-cover mapping ⓘ land-use mapping ⓘ |
| countryOfOrigin | India ⓘ |
| dataFormat | digital multispectral data ⓘ |
| dataProduct | multispectral image scenes ⓘ |
| dataType | medium-resolution imagery ⓘ |
| dataUser |
Indian government agencies
ⓘ
agricultural research institutions ⓘ forestry departments ⓘ |
| designedFor | repetitive coverage of Indian landmass ⓘ |
| developer |
ISRO
ⓘ
linked to:
Indian Space Research Organisation
Indian Space Research Organisation ⓘ |
| fieldOfView | wide field of view for regional coverage ⓘ |
| firstLaunchVehicle | PSLV predecessor launch vehicle for IRS-1A ⓘ |
| imagingMode | pushbroom scanning ⓘ |
| operatedBy |
National Remote Sensing Centre of ISRO
ⓘ
linked to:
National Remote Sensing Centre
|
| operationalStart | 1988 ⓘ |
| operator | Indian Space Research Organisation ⓘ |
| orbitType | near-polar sun-synchronous ⓘ |
| partOfProgram |
Indian Remote Sensing Programme
ⓘ
linked to:
Indian Remote Sensing satellite series
|
| platformType | sun-synchronous orbit satellite ⓘ |
| primaryUse | Earth observation ⓘ |
| regionOfPrimaryInterest | India ⓘ |
| spatialResolution | 72.5 metres ⓘ |
| spectralBand |
near-infrared band
ⓘ
visible bands ⓘ |
| spectralBandCount | 4 ⓘ |
| spectralType | multispectral ⓘ |
| successor |
LISS-II sensor
ⓘ
LISS-III sensor ⓘ LISS-IV sensor ⓘ |
| swathWidth | 148 kilometres ⓘ |
| typicalRevisitPeriod | 22 days (IRS-1A/1B) ⓘ |
| usedFor |
crop acreage estimation
ⓘ
drought assessment ⓘ natural resources management ⓘ vegetation monitoring ⓘ |
| usedOnSatellite |
IRS-1A
ⓘ
IRS-1B ⓘ |
| usedOnSatelliteSeries |
Indian Remote Sensing satellites
ⓘ
linked to:
Indian Remote Sensing satellite series
|
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-I sensor Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.