Sea Ice Extent and Classification Mapping with the Moderate Resolution Imaging Spectroradiometer Airborne Simulator |
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| Affiliation: | 1. Department of Chemistry, Manonmaniam Sundaranar University, Tirunelveli 627 012, Tamilnadu, India;2. Department of Chemistry and Research centre, Popes’ College (Autonomous), Sawyerpuram, 628251, Affiliated to Manonmaniam Sundaranar University, Tirunelveli 627012, Tamil Nadu, India;3. Department of Chemistry, Texas A & M University, College Station 7784, TX, United States;1. Université Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France;2. V. E. Zuev Institute of Atmospheric Optics SB RAS, av. 1, Akademician Zuev square, 634055 Tomsk, Russian Federation;3. Laboratory of Quantum Mechanics of Molecules and Radiative Processes, Tomsk State University, 36 Lenin Avenue, 634050 Tomsk, Russian Federation;1. Instituto Tecnológico de Túxtla Gutiérrez, Carretera Panamericana Km. 1080, Tuxtla Gutiérrez, Chiapas, México C.P. 29050;2. Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro # 1, Tonantzintla, Puebla, México C.P. 72840 |
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| Abstract: | An algorithm for mapping sea ice extent and generalized classification of sea ice by reflective and temperature characteristics with Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) data is presented. The algorithm was tested using a MAS scene over the Bering Sea near St. Lawrence Island, Alaska, USA, acquired 8 April 1995. Clouds were masked with the University of Wisconsin cloud masking algorithm. Ice surface temperature was estimated with a split-window technique. Sea ice extent and generalized type of sea ice were identified based on reflective characteristics and estimated ice surface temperature using a grouped criteria technique. Resulting maps were consistent with visual interpretation and with sea ice extent and type information reported in prior studies of the region. |
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