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Spatial Data Management

Calling all geospatial analysts: It is time to start those (Google Earth) Engines with this fantastic resource. For readers unfamiliar with Google Earth Engine, the platform provides satellite imagery and maintains a public data archive for academic, non-profit, business, and government users. Those new to the platform will benefit from the lessons at the link above. Led by Qiusheng Wu, an assistant professor in the Department of Geography at the University of Tennessee-Knoxville, the tutorials provide in-depth instructions on managing and analyzing geospatial datasets. Over the course of more than 20 videos, viewers are provided with step-by-step examples of everything from familiarizing oneself with Google Earth Engine's features to customizing and styling vector data. Most videos are about 30 minutes long, so viewers will need to dedicate at least 10 hours to complete the entire course. However, videos are neatly labeled to allow users to skip around as necessary, too. Readers will also want to follow the link in the description box to get access to the Jupyter notebook examples.
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2021-04-16 13:00:15
Date Of Record Release
2021-04-19 14:52:30
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