Linear Imaging Self-Scanning Sensor-III
E906766
Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Linear Imaging Self-Scanning Sensor-III canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T11146179 — 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: Linear Imaging Self-Scanning Sensor-III Context triple: [IRS-1C, instrument, Linear Imaging Self-Scanning Sensor-III]
-
A.
Linear Imaging Self-Scanning Sensor-II
Linear Imaging Self-Scanning Sensor-II is a satellite-borne linear array imaging sensor used for Earth observation, providing multispectral imagery for applications such as land use mapping and environmental monitoring.
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B.
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.
-
C.
Solid-State Imaging camera
The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
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D.
LISS-II sensor
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.
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E.
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.
- 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: Linear Imaging Self-Scanning Sensor-III Target entity description: Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
-
A.
Linear Imaging Self-Scanning Sensor-II
Linear Imaging Self-Scanning Sensor-II is a satellite-borne linear array imaging sensor used for Earth observation, providing multispectral imagery for applications such as land use mapping and environmental monitoring.
-
B.
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.
-
C.
Solid-State Imaging camera
The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
-
D.
LISS-II sensor
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.
-
E.
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.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
multispectral optical imaging sensor
ⓘ
remote sensing instrument ⓘ |
| abbreviation | LISS-III ⓘ |
| application |
agricultural monitoring
ⓘ
crop inventory ⓘ disaster management support ⓘ environmental monitoring ⓘ forest mapping ⓘ land use mapping ⓘ water resources assessment ⓘ |
| countryOfOperator | India ⓘ |
| dataFormat | digital raster data ⓘ |
| dataProductType | satellite imagery ⓘ |
| dataTemporalUse | time-series analysis ⓘ |
| dataUsage |
change detection
ⓘ
thematic mapping ⓘ |
| developedBy | Indian Space Research Organisation ⓘ |
| domain | remote sensing ⓘ |
| imagingMode | nadir viewing ⓘ |
| operator | Indian Space Research Organisation ⓘ |
| orbitType | sun-synchronous orbit ⓘ |
| partOfProgram |
Indian Remote Sensing Programme
ⓘ
linked to:
Indian Remote Sensing satellite series
|
| platformType | Earth observation satellite ⓘ |
| primaryObjective |
land cover classification
ⓘ
resource monitoring ⓘ |
| scanType | pushbroom scanner ⓘ |
| sensorType | optical ⓘ |
| spatialResolutionCategory | medium resolution ⓘ |
| spectralBand |
green band
ⓘ
near infrared band ⓘ red band ⓘ shortwave infrared band ⓘ |
| spectralType | multispectral ⓘ |
| supportsApplication |
environmental impact assessment
ⓘ
precision agriculture ⓘ urban expansion studies ⓘ |
| usedBy |
environmental planners
ⓘ
government agencies ⓘ research institutions ⓘ |
| usedOnSatellite |
IRS-1C
ⓘ
IRS-1D ⓘ Resourcesat-1 ⓘ Resourcesat-2 ⓘ |
| usedOnSatelliteSeries |
IRS series
ⓘ
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: Linear Imaging Self-Scanning Sensor-III Description of subject: Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.