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Machine Learning Applications for Earth Observation

A farmer stands in a sunny cornfield with a clipboard and closely inspects his crops.

ISSI Scientific Report Series

David J. Lary, Gebreab K. Zewdie, Xun Liu, Daji Wu, Estelle Levetin, Rebecca J. Allee, Nabin Malakar, Annette Walker, Hamse Mussa, Antonio Mannino and Dirk Aurin

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Machine learning has been used in remote sensing to train retrieval algorithms, bias correction, code acceleration, and detection of disease in crops, among other applications. The focus is to extract information from data by computational and statistical methods. This provides a data set for computers to learn by example. In Earth science, this technology has applications in trace gases, land surface products, vegetation indices, and oceanic applications.

Figure 9: Multi-year average

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David Lary, PhD

BrainHealth Investigator Professor of Physics, Hanson Center for Space Sciences Founding Director, MINTS

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