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Full-Text Articles in Engineering
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 …
High-Resolution Soil Moisture Estimation Using Ascat, Kevin Tew, Michael Scott
High-Resolution Soil Moisture Estimation Using Ascat, Kevin Tew, Michael Scott
Journal of Undergraduate Research
NASA’s Decadal Survey emphasizes the importance of soil moisture measurements, citing their significance in predicting natural hazards and the role of soil moisture levels in the water and carbon cycles [1]. Soil moisture estimates are used for a variety of applications including drought detection, flood and landslide forecasts, crop yield monitoring, and rain precipitation models [1]–[4]. Orbiting sensors provide an effective way to measure soil moisture globally because measurements of each area can be taken at a relatively high revisit frequency (typically one to two days). These sensors are generally able to measure soil moisture parameters despite cloud coverage and, …