Indian Remote Sensing satellite series
E263673
The Indian Remote Sensing satellite series is a fleet of Earth observation satellites developed by India to provide data for applications such as agriculture, forestry, land-use mapping, and disaster management.
All labels observed (8)
How this entity was disambiguated
This entity first appeared as the object of triple T2373134 — 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: Indian Remote Sensing satellite series Context triple: [IRS series, abbreviationFor, Indian Remote Sensing satellite series]
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A.
RISAT series satellites
The RISAT series satellites are India’s radar imaging Earth observation spacecraft designed for all-weather, day-and-night surveillance and reconnaissance.
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B.
Cartosat series satellites
The Cartosat series satellites are Indian Earth observation spacecraft designed primarily for high-resolution cartographic imaging and remote sensing applications, supporting mapping, urban planning, and resource management.
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C.
INSAT series
The INSAT series is a fleet of Indian multipurpose geostationary satellites that provide telecommunications, broadcasting, meteorology, and search-and-rescue services across the Indian subcontinent.
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D.
INSAT-1A
INSAT-1A was the first satellite in India’s INSAT series, designed to provide multipurpose telecommunications, meteorological, and broadcasting services.
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E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Indian Remote Sensing satellite series Target entity description: The Indian Remote Sensing satellite series is a fleet of Earth observation satellites developed by India to provide data for applications such as agriculture, forestry, land-use mapping, and disaster management.
-
A.
RISAT series satellites
The RISAT series satellites are India’s radar imaging Earth observation spacecraft designed for all-weather, day-and-night surveillance and reconnaissance.
-
B.
Cartosat series satellites
The Cartosat series satellites are Indian Earth observation spacecraft designed primarily for high-resolution cartographic imaging and remote sensing applications, supporting mapping, urban planning, and resource management.
-
C.
INSAT series
The INSAT series is a fleet of Indian multipurpose geostationary satellites that provide telecommunications, broadcasting, meteorology, and search-and-rescue services across the Indian subcontinent.
-
D.
INSAT-1A
INSAT-1A was the first satellite in India’s INSAT series, designed to provide multipurpose telecommunications, meteorological, and broadcasting services.
-
E.
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.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation satellite program
ⓘ
satellite constellation ⓘ |
| abbreviation | IRS ⓘ |
| application |
agriculture
ⓘ
coastal zone management ⓘ crop monitoring ⓘ disaster management ⓘ drought assessment ⓘ environmental monitoring ⓘ flood mapping ⓘ forestry ⓘ land-use mapping ⓘ urban planning ⓘ water resources management ⓘ |
| contributesTo |
disaster early warning and response in India
ⓘ
national resource management in India ⓘ |
| countryOfOrigin | India ⓘ |
| dataDistributionAgency | National Remote Sensing Centre ⓘ |
| dataProduct |
high-resolution imagery
ⓘ
multispectral imagery ⓘ panchromatic imagery ⓘ thematic maps ⓘ |
| dataUser |
Indian government agencies
ⓘ
commercial users ⓘ research institutions ⓘ |
| firstSatelliteInSeries | IRS-1A ⓘ |
| firstSatelliteLaunchDate | 1988-03-17 ⓘ |
| firstSatelliteLaunchSite | Baikonur Cosmodrome ⓘ |
| hasMember |
Cartosat series satellites
ⓘ
surface form:
Cartosat-1
Cartosat series satellites ⓘ
surface form:
Cartosat-2
IRS-1A ⓘ IRS-1B ⓘ IRS-1C ⓘ IRS-1D ⓘ IRS-P2 ⓘ IRS-P3 ⓘ IRS-P4 ⓘ Oceansat-1 ⓘ Oceansat-2 ⓘ RISAT series satellites ⓘ
surface form:
RISAT-1
RISAT series satellites ⓘ
surface form:
RISAT-2
Resourcesat-1 ⓘ Resourcesat-2 ⓘ |
| launchVehicleUsed |
Ariane launch vehicle programme
ⓘ
surface form:
Ariane launch vehicle
PSLV ⓘ |
| managingAgency |
Department of Space (India)
ⓘ
surface form:
Department of Space, Government of India
|
| operator | Indian Space Research Organisation ⓘ |
| purpose |
Earth observation
ⓘ
remote sensing ⓘ |
| typicalOrbitType |
Sun-synchronous orbit
ⓘ
near-polar orbit ⓘ |
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: Indian Remote Sensing satellite series Description of subject: The Indian Remote Sensing satellite series is a fleet of Earth observation satellites developed by India to provide data for applications such as agriculture, forestry, land-use mapping, and disaster management.
Referenced by (24)
Full triples — surface form annotated when it differs from this entity's canonical label.