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... > Instruments > Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > SGLI

Preferred term

SGLI  

Definition

  • The Second generation GLobal Imager(SGLI) on “SHIKISAI” (GCOM-C) 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, aerosol, and vegetation activity are also used for mapping fisheries, monitoring the transport of yellow dust, and monitoring crop growth and estimating crop yield. (en)

Broader concept

Change note

  • 2018-11-13 06:05:40.0 [mmorahan] Insert Concept add broader relation (SGLI [8891b8a8-a469-411f-8f84-71a94da19f02,368265] - Imaging Spectrometers/Radiometers [944b7691-af37-4fb4-9393-c114e7997829,347979]);
  • 2018-11-13 06:09:48.0 [mmorahan] insert AltLabel (id: null category: primary text: Second Generation Global Imager language code: en); insert Definition (id: null text: The Second generation GLobal Imager(SGLI) on “SHIKISAI” (GCOM-C) 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, aerosol, and vegetation activity are also used for mapping fisheries, monitoring the transport of yellow dust, and monitoring crop growth and estimating crop yield. language code: en);
  • 2018-11-13 06:17:37.0 [mmorahan] insert WeightedRelation (id: null related concept uuid: 18512c09-2590-4804-8b43-dd9caea53b5d relationship type: null relationship value: null generated by: null);

URI

https://gcmd.earthdata.nasa.gov/kms/concept/8891b8a8-a469-411f-8f84-71a94da19f02

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