Tracking Dust Plumes and Identifying Source Areas Using Spatiotemporal Clustering of Remote Sensing Data
Traditionally, studies on dust relied on polar-orbiting satellites whose limited tempo-ral coverage does not offer a detailed picture of how dust plumes evolve and change over time. To address this, we develop a method to identify and track individual dust plumes via hourly images from the Meteosat S...
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| Formato: | Tese |
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Massachusetts Institute of Technology
2023
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| Acesso em linha: | https://hdl.handle.net/1721.1/152889 https://orcid.org/0009-0005-1909-4646 |