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EO·Atlas / Sensors / CBERS-4 Panchromatic and Multispectral Imager
Sensor · Spaceborne

CBERS-4 Panchromatic and Multispectral Imager

Compiled from public sources on 2026-06-16. Not independently verified by China Academy of Space Technology.

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Missions → CBERS-4 (Operational)

Panchromatic and multispectral imager flown on CBERS-4.

Sensor

CBERS-4 Panchromatic and Multispectral Imager is the PAN/PANMUX passive optical payload flown on CBERS-4, separate from the CBERS-4A WPM camera.[1] It combines a B01 panchromatic band from 510 to 850 nm at 5 m spatial resolution with B02 to B04 green, red, and near-infrared multispectral bands at 10 m spatial resolution.[1] The instrument has a 60 km swath and a +/-32 degree side-looking mirror.[1]

The PAN swath does not cover the full equator in one 26-day orbital cycle, so regular PAN temporal coverage requires two cycles, about 52 days.[1] PAN on CBERS-4 is operational and associated with land albedo/reflectance, vegetation, and multi-purpose land imagery measurements.[2] Use of PANMUX on CBERS-4 is demonstrated for vegetation index mapping and optical time-series change detection.[1][2]

Operator pricing

Pricing not publicly listed by operator

Where this fits, supply chain

Compositional position

CBERS-4 ——— this payload
this ——— CBERS-4 (Operational) flies on
Methods this sensor implements
Demonstrated
  • Optical time-series change detectionvia CBERS-4

    PANMUX contributes panchromatic and multispectral land observations.

  • Vegetation index mappingvia CBERS-4

    PANMUX\u0020red\u0020and\u0020NIR\u0020multispectral\u0020bands\u0020support\u0020vegetation-index\u0020mapping;\u0020INPE\u0020lists\u0020PAN\u0020B02-B04\u0020as\u0020green,\u0020red,\u0020and\u0020NIR\u0020bands\u0020at\u002010\u0020m.

Capable, undemonstrated

None on record.

Topics this relates to
Disaster damage assessmentOptical time-series change detection(demonstrated)adequate
Economic activity intelligenceOptical time-series change detection(demonstrated)adequate
Transport infrastructure monitoringOptical time-series change detection(demonstrated)adequate
Vector-borne disease riskOptical time-series change 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
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
WildfireVegetation 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
Pipeline integrityVegetation 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/panmux-cbers-4 Markdown twin → Field definitions → Suggest a correction →