Detecting arsenic contamination using satellite imagery and machine learning

HIGHLIGHTS

  • who: Ayush Agrawal and Mark R. Petersen from the Canyon Crest Academy, San Diego, CA, USA have published the paper: Detecting Arsenic Contamination Using Satellite Imagery and Machine Learning, in the Journal: Toxics 2021, 9, 333. of /2021/
  • what: This study attempts to determine if a relationship exists between soil`s hyperspectral data and arsenic concentration using NASA`s Hyperion satellite. In this study, it was hypothesized that data from Hyperion combined with a regression-based machine_learning approach on bare soil would yield strong correlation and comparable results to the best models (using less noisy . . .

     

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