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Full-Text Articles in Environmental Monitoring
Machine Learning Algorithms For Automated Satellite Snow And Sea Ice Detection, George Bonev
Machine Learning Algorithms For Automated Satellite Snow And Sea Ice Detection, George Bonev
Dissertations, Theses, and Capstone Projects
The continuous mapping of snow and ice cover, particularly in the arctic and poles, are critical to understanding the earth and atmospheric science. Much of the world's sea ice and snow covers the most inhospitable places, making measurements from satellite-based remote sensors essential. Despite the wealth of data from these instruments many challenges remain. For instance, remote sensing instruments reside on-board different satellites and observe the earth at different portions of the electromagnetic spectrum with different spatial footprints. Integrating and fusing this information to make estimates of the surface is a subject of active research.
In response to these challenges, …
Machine Learning Approach To Retrieving Physical Variables From Remotely Sensed Data, Fazlul Shahriar
Machine Learning Approach To Retrieving Physical Variables From Remotely Sensed Data, Fazlul Shahriar
Dissertations, Theses, and Capstone Projects
Scientists from all over the world make use of remotely sensed data from hundreds of satellites to better understand the Earth. However, physical measurements from an instrument is sometimes missing either because the instrument hasn't been launched yet or the design of the instrument omitted a particular spectral band. Measurements received from the instrument may also be corrupt due to malfunction in the detectors on the instrument. Fortunately, there are machine learning techniques to estimate the missing or corrupt data. Using these techniques we can make use of the available data to its full potential.
We present work on four …