Browsing Geography and Environmental Management by Subject "machine learning"
Now showing items 1-6 of 6
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Developing a radar-based machine learning snowfall retrieval algorithm
(University of Waterloo, 2023-01-03)As global temperatures continue to rise, snowfall patterns are expected to respond in a complex, nonlinear manner. Changes in the quantity of snowmelt-derived freshwater will impact global water-energy budgets, flood ... -
Evaluation of Machine Learning Algorithms for Lake Ice Classification from Optical Remote Sensing Data
(University of Waterloo, 2020-06-02)The topic of lake ice cover mapping from satellite remote sensing data has gained interest in recent years since it allows the extent of lake ice and the dynamics of ice phenology over large areas to be monitored. Mapping ... -
Evaluation of Machine Learning Algorithms for the Classification of Lake Ice and Open Water from Sentinel-3 SAR Altimetry Waveforms
(University of Waterloo, 2023-01-18)Lakes cover a significant fraction of the landscape in many northern countries. They play a key role in regulating weather and climate and also have a significant impact on northern communities since the presence (or ... -
Forecasting northern polar stratospheric variability using a hierarchy of statistical models
(University of Waterloo, 2015-10-02)The northern polar stratosphere plays an important role in modulating the wintertime near-surface temperature conditions in midlatitudes. Forecasting northern polar stratospheric variability will have the potential to ... -
Monitoring Seasonal Snow Density from Satellite Based Passive Microwave Remote Sensing and Automatic Weather Stations
(University of Waterloo, 2023-10-26)Seasonal snow plays an important role in Earth’s systems and for hydrological applications one of the most important properties is the quantity of liquid water stored in the snowpack, referred to as snow water equivalent ... -
Remote sensing of chlorophyll-a in small inland waters
(University of Waterloo, 2022-01-26)Small inland waters (SIWs) – waterbodies smaller than 100 km2 – are the predominant form of lakes globally, yet they are highly subject to water quality degradation, especially due to harmful algae blooms (HABs). Space-borne ...