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EO·Atlas / Sensors / MSU-GS Electro-L Imager
Sensor · Spaceborne

MSU-GS Electro-L Imager

Missions → Electro-L N4 (Operational) , Electro-L N3 (Operational) , Electro-L N2 (Extended operations)

Multispectral geostationary imager flown on Electro-L satellites for full-disc visible and infrared meteorological imaging via HRIT/LRIT.

Sensor

The MSU-GS (also known as the Electro-L Imager) is a 10-channel multispectral radiometer operating aboard Russian Electro-L geostationary meteorological satellites for full-disc visible and infrared imaging.[1][2] The instrument carries four channels at 1 km ground sampling distance and six channels at 4 km ground sampling distance.[1]

The four 1 km channels are centred at approximately 0.57, 0.72, and 0.86 micrometres in the visible and near-infrared, and at 3.75 micrometres in the mid-wave infrared.[1] The six 4 km channels span water vapour absorption and thermal infrared spectral regions, with centres at approximately 6.35, 8.0, 8.7, 9.7, 10.7, and 11.7 micrometres.[1] This channel configuration supports applications including sea surface temperature retrieval, atmospheric motion vector derivation, thermal anomaly detection, and vegetation monitoring.[1]

MSU-GS uses a mechanical scanning mechanism with continuous east-west sweep and stepped north-south motion, with a full-disc scan period of 15 to 30 minutes.[1] Instrument mass is approximately 106 kg with a power requirement of approximately 150 W.[1] Imagery is disseminated via HRIT and LRIT protocols.[2] The instrument has been flown on Electro-L N1, N2, N3, and N4.[1][3]

Operator pricing

Pricing not publicly listed by operator

Supply chain position

carried by Electro-L N4
carried by Electro-L N3
carried by Electro-L N2
Methods this sensor implements
Demonstrated
Capable, undemonstrated

None on record.

Topics this relates to
Atmospheric Wind ObservationAtmospheric motion vectors (AMV)(demonstrated)well suited
Weather nowcastingAtmospheric motion vectors (AMV)(demonstrated)well suited
Earth radiation budgetBroadband radiometry(demonstrated)well suited
Snow coverMultispectral optical imaging(demonstrated)well suited
Cloud propertiesMultispectral optical imaging(demonstrated)adequate
FloodingMultispectral optical imaging(demonstrated)adequate
Terrain elevationMultispectral optical imaging(demonstrated)adequate
Inland waterMultispectral optical imaging(demonstrated)marginal
Sea surface temperatureSea-surface temperature retrieval(demonstrated)well suited
Ocean heat contentSea-surface temperature retrieval(demonstrated)marginal
Industrial emissionsThermal anomaly detection(demonstrated)well suited
WildfireThermal anomaly detection(demonstrated)well suited
Geology and geohazardsThermal anomaly detection(demonstrated)adequate
Air qualityThermal anomaly detection(demonstrated)marginal
Building thermal performanceThermal anomaly detection(demonstrated)marginal
CO2Thermal anomaly detection(demonstrated)marginal
Disaster damage assessmentThermal anomaly detection(demonstrated)marginal
Economic activity intelligenceThermal anomaly detection(demonstrated)marginal
Illegal and unregulated fishingThermal anomaly detection(demonstrated)marginal
Oil spillsThermal anomaly detection(demonstrated)marginal
Pipeline integrityThermal anomaly detection(demonstrated)marginal
Shipping emissionsThermal anomaly detection(demonstrated)marginal
Crop phenologyVegetation index mapping(demonstrated)well suited
Crop stress and yieldVegetation index mapping(demonstrated)well suited
DeforestationVegetation index mapping(demonstrated)well suited
Land cover changeVegetation index mapping(demonstrated)well suited
Pasture and grazingVegetation index mapping(demonstrated)well suited
Urban changeVegetation index mapping(demonstrated)well suited
Vector-borne disease riskVegetation index mapping(demonstrated)well suited
DroughtVegetation index mapping(demonstrated)adequate
Irrigation monitoringVegetation index mapping(demonstrated)adequate
Pest and disease detectionVegetation index mapping(demonstrated)adequate
Power grid and vegetation encroachmentVegetation index mapping(demonstrated)adequate
Urban heat islandVegetation index mapping(demonstrated)adequate
Biodiversity and habitatVegetation index mapping(demonstrated)marginal
Coastal erosionVegetation index mapping(demonstrated)marginal
Coastal water qualityVegetation index mapping(demonstrated)marginal
Crop-type mappingVegetation index mapping(demonstrated)marginal
Forest structure and biomassVegetation index mapping(demonstrated)marginal
Illegal constructionVegetation index mapping(demonstrated)marginal
Mineral explorationVegetation index mapping(demonstrated)marginal
Solar energy siting and monitoringVegetation index mapping(demonstrated)marginal
Vessel trackingVegetation index mapping(demonstrated)marginal
Wind energy sitingVegetation index mapping(demonstrated)marginal
Sources
Cite https://eo-atlas.org/products/sensor/msu-gs Markdown twin → Field definitions → Suggest a correction →
How to cite this page

Plain text

MSU-GS Electro-L Imager. EO-Atlas, SpectraWorks B.V. https://eo-atlas.org/products/sensor/msu-gs (CC BY 4.0)

BibTeX

@misc{eoatlas:products:sensor:msu-gs,
  title = {MSU-GS Electro-L Imager},
  author = {{EO-Atlas}},
  publisher = {SpectraWorks B.V.},
  note = {CC BY 4.0},
  url = {https://eo-atlas.org/products/sensor/msu-gs}
}