Remote Sensing Of Earth Systems Professors in Global

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George Shaker
University of Waterloo Canada
telematics systems
energy harvesting systems
antenna systems
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Yongkang Xue
University of California Los Angeles United States of America
remote sensing methodology
land surface modeling
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Denise Wilson
University of Washington United States of America
microsensor systems
environmental monitoring
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Joseph Paradiso
Massachusetts Institute of Technology United States of America
wireless sensing systems
sensor systems built in natural environments
space-based systems
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Ayman Habib
Purdue University United States of America
environmental monitoring
mobile mapping systems
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Allison Enright
University of New Brunswick Canada
environmental systems
agricultural environmental monitoring
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Peter Guldager
Technical University of Denmark Denmark
satellite sensors
space systems
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Louise Klotz
Technical University of Denmark Denmark
climate monitoring
emissions monitoring
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Elias Aboutanios
University of New South Wales Australia
space systems
radar signal processing
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Costas Armenakis
York University Canada
remote sensing
unmanned aerial mapping systems
robotic mapping
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Steven Cummer
Duke University Singapore
geophysical remote sensing
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Steven Cummer
Duke University Singapore
geophysical remote sensing
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Steven Cummer
Duke University Singapore
geophysical remote sensing
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Muhammad Rahman
University of Texas at Austin United States of America
urban remote sensing
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Mia Bennett
University of Washington United States of America
critical remote sensing
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Monica Wilhelmus
Brown University United States of America
remote sensing observations
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Aris Georgakakos
Georgia Institute of Technology United States of America
remote sensing of hydrologic variables
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James Whiteway
York University Canada
laser remote sensing
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Bahram Daneshfar
University of Ottawa Canada
applied remote sensing
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Larry Harding
University of California Los Angeles United States of America
aircraft satellite remote sensing
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Gengchen Mai
University of Texas at Austin United States of America
deep learning remote sensing
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