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Machine Learning Applications for Earth Observation

Farming

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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Overview

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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AUTHOR SPOTLIGHT
Dr. David Lary in a suit in front of computers, vertical. Professor of Physics in the Hanson Center for Space Sciences; Founding Director of MINTS (Multi-Use Multi-scale Integrated Interactive Intelligent Sensing and Simulation in Service of  Society); Center for Brain Health Investigator

David Lary, PhD

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