Snow Cover Monitoring Algorithm in Northeast China Using FY-2G Satellite Data

Tong Wu; Lingjia Gu; Ruizhi Ren; Haoyang Fu

doi:10.1364/fio.2018.jtu3a.124

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JOURNAL ARTICLE

Snow Cover Monitoring Algorithm in Northeast China Using FY-2G Satellite Data

Tong Wu Lingjia Gu Ruizhi Ren Haoyang Fu

Year: 2018 Journal: Frontiers in Optics / Laser Science Pages: JTu3A.124-JTu3A.124

DOI: 10.1364/fio.2018.jtu3a.124

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Abstract

The multi-temporal geostationary satellite FY-2G was used to reduce the cloud interference. The BRDF models were used in angular correction. An improved snow cover monitoring algorithm combined with geostationary satellite and BRDF model was proposed.

Keywords:

Geostationary orbit Remote sensing Satellite Bidirectional reflectance distribution function Snow Geostationary Operational Environmental Satellite Snow cover Atmospheric model Computer science Meteorology Environmental science Meteorological satellite Cloud cover Algorithm Cloud computing Geology Reflectivity Optics Geography Physics Astronomy

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Cryospheric studies and observations

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Climate change and permafrost

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Arctic and Antarctic ice dynamics

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Snow Cover Monitoring Algorithm in Northeast China Using FY-2G Satellite Data

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