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George Azzari

  • Affiliated scholar

Biography

George Azzari joined FSE as a Postdoctoral Research Scholar in February 2015. He worked with David Lobell on designing, implementing, and applying new satellite-based monitoring techniques to study several aspects of food security. His current focuses include estimates of crop yields, crop classification, and detection of management practices in Africa, Asia, and the United States.  He is currently the Chief Technology Office at Atlas AI.

George's research uses a variety of satellite sensors from the private and public sector -including Landsat (NASA/USGS), Sentinel 1 and 2 (ESA), MODIS (NASA),  RapidEye (Planet), Planet Scope (Planet), and Skysat (Terrabella)- combined with crop modeling and machine learning techniques.  He received his Ph.D. from the University of California, Irvine, where he worked with Mike Goulden on monitoring post-fire succession of southern California ecosystems from remote sensing data. He examined the impact of topographic illumination effects on long time series of optical satellite data.

publications

Journal Articles
January 2020

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery

Author(s)
cover link Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
Journal Articles
May 2019

Smallholder maize area and yield mapping at national scales with Google Earth Engine

Author(s)
cover link Smallholder maize area and yield mapping at national scales with Google Earth Engine
Journal Articles
February 2019

Satellite mapping of tillage practices in the North Central US region from 2005 to 2016

Author(s)
cover link Satellite mapping of tillage practices in the North Central US region from 2005 to 2016