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- An article on “Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China” was published on International Journal of Applied Earth Observation and Geoinformation on
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Monthly Archives: July 2023
Joseph Gyegyiri, received the 2023-2024 Leidos Scholarship for AI/ML Advancement from the United States Geospatial Intelligence Foundation (USGIF)
Congratulations, Joseph! You are the only recipient in the category of “artificial intelligence, advanced analytics, or machine learning for geospatial research”.
Here is more information about the award: https://www.fau.edu/engineering/cege/news/2307-josephusgifaward/…
Posted in News
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An article on “Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China” was published on International Journal of Applied Earth Observation and Geoinformation on
Highlights of the article:
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We quantify the attribution of surface heat island using random forest.
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NDVI is the most prominent determinant for annual mean heat islands.
- We recommend locality-based and coordinated heat mitigation strategies.
The study was a collaboration with
Posted in News, Publication, Research
Comments Off on An article on “Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China” was published on International Journal of Applied Earth Observation and Geoinformation on