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Arctic Sea Ice Classification And Soil Moisture Estimation Using Microwave Sensors, David Brian Lindell
Arctic Sea Ice Classification And Soil Moisture Estimation Using Microwave Sensors, David Brian Lindell
Theses and Dissertations
Spaceborne microwave sensors are capable of estimating various properties of many geophysical phenomena, including the age and extent of Arctic sea ice and the relative soil moisture over land. The measurement and classification of such geophysical phenomena are used to refine climate models, localize and predict drought, and better understand the water cycle. Data from the active Ku-band scatterometers, the Quick Scatterometer (QuikSCAT), and the Oceansat-2 Scatterometer (OSCAT), are here used to classify areas of first-year and multiyear Arctic sea ice using a temporally adaptive threshold on reported radar backscatter values. The result is a 15-year data record of daily …