Jan. 25, 2022, 11:41 p.m. | Theo

Towards Data Science - Medium towardsdatascience.com

A predictive model using geospatial raster data to asses wildfire hazard over the contiguous United States

Photo by Mike Newbry on Unsplash

Wildfires are unplanned fire events that occur both naturally and as a result of human activity. In the United States, they are responsible for several billion dollars in costs each year [1], and in 2020, they burned over 10 million acres in the United States alone [2]. Much of the costs come from prevention efforts. For example the …

ai deep-dives deep learning geospatial google-earth-engine prediction remote-sensing risk wildlife

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Software Engineer, Generative AI (C++)

@ SoundHound Inc. | Toronto, Canada