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Platforms > Earth Observation Satellites > GCOM-C

TERME PRÉFÉRENTIEL

GCOM-C  

DÉFINITION

  • The Second generation GLobal Imager (SGLI) on GCOM-C1 is an optical sensor capable of multi-channel observation at wavelengths from near-UV to thermal infrared wavelengths (380nm to 12µm.) SGLI also has polarimetry and forward / backward observation functions at red and near infrared wavelengths. SGLI obtains global observation data once every 2 or 3 days, with resolutions of 250m to 1km. The SGLI observations will improve our understanding of climate change mechanisms through long-term monitoring of aerosols and clouds, as well as vegetation and temperatures, in the land and ocean regions. These observations will also contribute to enhancing the prediction accuracy of future environmental changes by improving sub-processes in numerical climate models. SGLI-derived phytoplankton and aerosol distributions are also used for mapping fisheries and for monitoring the transport of yellow dust and/or wildfire smoke.

CONCEPT GÉNÉRIQUE

VARIANTE

  • SHIKISAI

NOTE DE CHANGEMENT

  • 2018-11-13 06:00:52.0 [mmorahan] Insert Concept add broader relation (GCOM-C [18512c09-2590-4804-8b43-dd9caea53b5d,368261] - Earth Observation Satellites [3466eed1-2fbb-49bf-ab0b-dc08731d502b,344761]);
  • 2018-11-13 06:03:55.0 [mmorahan] insert AltLabel (id: null category: primary text: Global Change Observation Mission – Climate language code: en); insert Definition (id: null text: The Second generation GLobal Imager (SGLI) on GCOM-C1 is an optical sensor capable of multi-channel observation at wavelengths from near-UV to thermal infrared wavelengths (380nm to 12µm.) SGLI also has polarimetry and forward / backward observation functions at red and near infrared wavelengths. SGLI obtains global observation data once every 2 or 3 days, with resolutions of 250m to 1km. The SGLI observations will improve our understanding of climate change mechanisms through long-term monitoring of aerosols and clouds, as well as vegetation and temperatures, in the land and ocean regions. These observations will also contribute to enhancing the prediction accuracy of future environmental changes by improving sub-processes in numerical climate models. SGLI-derived phytoplankton and aerosol distributions are also used for mapping fisheries and for monitoring the transport of yellow dust and/or wildfire smoke. language code: en);
  • 2018-11-13 06:15:59.0 [mmorahan] insert WeightedRelation (id: null related concept uuid: 8891b8a8-a469-411f-8f84-71a94da19f02 relationship type: null relationship value: null generated by: null);
  • 2019-12-31 13:51:14.0 [sritz] insert AltLabel (id: null category: null text: SHIKISAI language code: en);

URI

https://gcmd.earthdata.nasa.gov/kms/concept/18512c09-2590-4804-8b43-dd9caea53b5d

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