M. J. Garay
- ORCiD
- https://orcid.org/0000-0002-1374-5074
- OpenAlex ID
- https://openalex.org/A5061193396 (API record)
Associated Concepts [?]
- Geography
- Physics
- Geology
- Environmental science
- Meteorology
- Remote sensing
- Chemistry
- Organic chemistry
- Engineering
- Aerosol
- Astronomy
- Computer science
- Aerospace engineering
- Optics
- Satellite
- Atmospheric sciences
- Biology
- Climatology
- Quantum mechanics
- Mathematics
- Reflectivity
- Ecology
- Spectroradiometer
Authored Works
sorted by decreasing year, and then by display-name
- Robust Multi-Campaign Imaging Spectrometer Methane Plume Detection using Deep Learning
- Optical Properties of Smoke Aging from AirMSPI FIREX-AQ
- Multi-resolution investigation of smoke observations from the Multi-angle Imaging SpectroRadiometer (MISR): the value added by MISR V23 AOD at a high spatial resolution
- Insights into Global Aerosol Trends from 22+ Years of MISR Observations from NASA's Terra Satellite
- Increasing the accuracy of MISR AOD retrievals over land at high aerosol loading
- Improving the operational coverage of MISR aerosol optical depth measurements through the implementation of a retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters
- Evaluating the potential of remote sensing-based fire fuel mapping methods across multiple fires for emissions modeling
- Advances in imaging spectrometer atmospheric correction with the open source ISOFIT codebase
- A Markov chain model for polarized radiative transfer in the thermal infrared and application in dust particle inversion
- Polarimetric Sensitivity of Light-Absorbing Carbonaceous Aerosols Over Ocean: A Theoretical Assessment
- Identification of wildfires and smoke plumes using multi-sensor input and unsupervised and supervised machine learning for improved spatiotemporal coverage and facilitation of automated tracking
- Evaluating the MISR Plume Height Project dataset: A comparison of MISR-derived landscape fire plume heights with remote sensing lidar data
- Effects of COVID-19 Lockdowns on Fine Particulate Matter Concentrations
- Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning
- A Review of Global Monitoring and Data Assimilation of Aerosol Vertical Structure: Past, Present and Future
Linked Co-Authors
- A. Lyapustin
- A. M. Sayer
- Alexey Shiklomanov
- Allison McComiskey
- Andrew T. Hudak
- Armin Sorooshian
- Benjamin Poulter
- Dar A. Roberts
- David M. Winker
- David R. Thompson
- E. Natasha Stavros
- E. P. Nowottnick
- Erin E. McDuffie
- Fan Mei
- Huikyo Lee
- Ian Baker
- Jake Lee
- James Campbell
- Jeffrey S. Reid
- Jens Redemann
- Jianglong Zhang
- Jun Wang
- Kyongsik Yun
- Luke D. Ziemba
- M. D. Lebsock
- Marcin Witek
- Matthew Laffin
- Nancy H. F. French
- Peng Xian
- R. A. Ferrare
- Ralph A. Kahn
- Riley Duren
- Robert C. Levy
- Robert Fofrich
- Robert Green
- Robert R. Nelson
- W. Reed Espinosa
- О. В. Калашникова
Linked Collaborating Institutions
- Art Institute of Chicago, Illinois
- Brookhaven National Laboratory, New York
- Cornell University, New York
- European Centre for Medium Range Weather Forecasts, UK
- Jet Propulsion Laboratory
- Michigan Technological University
- NASA Goddard Space Flight Center, Maryland
- NASA Langley Research Center
- National Oceanic and Atmospheric Administration, Boulder
- Pacific Northwest National Laboratory
- Princeton University, New Jersey
- U.S. Department of Agriculture
- U.S. Department of the Navy, Naval Research Laboratory, Washington DC
- Universite de Lille I, France
- University of Arizona
- University of California, Santa Barbara
- University of Colorado, Boulder
- University of Iowa
- University of North Dakota
- University of Oklahoma, Norman
- University of Texas, Dallas
- University of Wisconsin, Madison
- Washington University in Saint Louis, Missouri
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