David J. Lary

发表

Objectively Optimized Earth Observing Systems

David J. Lary, David John Lary, 2009 .

Terrestrial Hyperspectral Imaging by Integrating Visible Light Mosaics and a Line-Scan Camera

Juan-Pablo Ramirez, David J. Lary, Nicholas Gans, 2013, AIAA Infotech@Aerospace (I@A) Conference.

Low‐altitude Terrestrial Spectroscopy from a Pushbroom Sensor

Nicholas R. Gans, David J. Lary, Juan-Pablo Ramirez-Paredes, 2016, J. Field Robotics.

Autonomous Objectively Optimized Observing Systems

David J. Lary, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles

Kang Sun, Lei Tao, David J. Miller, 2012, Remote. Sens..

Building Structure-Property Predictive Models Using Data Assimilation

Robert C. Glen, Hamse Y. Mussa, David J. Lary, 2006, CompLife.

Keynote) Devices in CMOS for Terahertz Circuits and Systems

Ruonan Han, Jing Zhang, Ivan R. Medvedev, 2017 .

Towards Automated Ecosystem-based Management: A case study of Northern Gulf of Mexico Water

David J. Lary, Nabin K. Malakar, R. Allee, 2012 .

Artificial Intelligence in Aerospace

David J. Lary, David John Lary, 2010 .

Machine Learning and Bias Correction of MODIS Aerosol Optical Depth

Lorraine Remer, Susan Paradise, David J. Lary, 2009, IEEE Geoscience and Remote Sensing Letters.

Using an Extended Kalman Filter Learning Algorithm for Feed-Forward Neural Networks to Describe Tracer Correlations

David J. Lary, H. Y. Mussa, David John Lary, 2004 .

Assimilation of Real-Time Satellite And Human Sensor Networks for Modeling Natural Disasters

Milton Halem, David J. Lary, Oleg Aulov, 2011 .

A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space

David J. Lary, Phil DeCola, William R. Stockwell, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Opening Terahertz for Everyday Applications

Ruonan Han, Insoo Kim, Ivan R. Medvedev, 2019, IEEE Communications Magazine.

Artificial Intelligence in Geoscience and Remote Sensing

David J. Lary, David John Lary, 2010 .

Complementary metal oxide semiconductor integrated circuits for rotational spectroscopy

Ivan R. Medvedev, David J. Lary, Jing Zhang, 2020, Defense + Commercial Sensing.

Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing

Jennifer Wei, Arif Albayrak, David J. Lary, 2012, 2012 Conference on Intelligent Data Understanding.

Machine Learning Applications for Earth Observation

David J. Lary, Xun Liu, Antonio Mannino, 2018 .

Using probability distribution functions for satellite validation

David J. Lary, David John Lary, Leslie Lait, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Terrestrial imaging from visible light mosaics and a line-scan hyperspectral sensor

David J. Lary, Juan-Pablo Ramirez-Paredes, Nicholas Gans, 2013 .

Machine learning in geosciences and remote sensing

Amir Hossein Alavi, Amir H. Gandomi, David J. Lary, 2016 .

PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD

David J. Lary, David John Lary, Xiaohe Yu, 2021, Remote. Sens..

Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification

David J. Lary, David John Lary, Xiaohe Yu, 2021, Remote. Sens..

Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning

David J. Lary, David John Lary, Shawhin Talebi, 2021, Sensors.

Autonomous Learning of New Environments With a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning

David J. Lary, Shawhin Talebi, David Schaefer, 2021 .

Refraction and atmospheric photochemistry

David J. Lary, M. Balluch, 1997 .

Using neural networks to describe tracer correlations

David J. Lary, H. Y. Mussa, M. D. Müller, 2003 .

Variations in Stratospheric Inorganic Chlorine Between 1991 and 2006

Hamse Y. Mussa, David J. Lary, Anne R. Douglass, 2007 .

Representativeness uncertainty in chemical data assimilation highlight mixing barriers

David J. Lary, David John Lary, 2003 .

Short-Lived Ozone-Related Compounds, Scientific Assessment of Ozone Depletion: 1998, World Meteorological Organization

David J. Lary, M. J. Kurylo, Meinrat O. Andreae, 1999 .

Gas phase atmospheric bromine photochemistry

David J. Lary, David John Lary, 1996 .

Heterogeneous atmospheric bromine chemistry

Timothy M. Lenton, Martyn P. Chipperfield, David J. Lary, 1996 .

MODIS Aerosol Optical Depth Bias Adjustment Using Machine Learning Algorithms

Jennifer Wei, Arif Albayrak, David J. Lary, 2011 .

Analysis of exhaled human breath via terahertz molecular spectroscopy

Ivan R. Medvedev, David J. Lary, Qian Zhong, 2016, 2016 41st International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz).

Using Machine Learning to Estimate Global PM2.5 for Environmental Health Studies

David J. Lary, Barbara Sattler, T. Lary, 2016 .

Lagrangian four‐dimensional variational data assimilation of chemical species

David J. Lary, David John Lary, Michael A. Fisher, 1995 .

A review on the use of the adjoint method in four‐dimensional atmospheric‐chemistry data assimilation

Dudley E. Shallcross, David J. Lary, John A. Pyle, 2001 .

Space-based measurements of HCl: Intercomparison and historical context

David J. Lary, Oleg Aulov, David John Lary, 2008 .

Interpretation of satellite retrievals of PM2.5 over the southern African Interior

David J. Lary, Harold J. Annegarn, William A. Harrison, 2016 .

Observations of Middle Atmosphere CO from theUARSISAMS during the Early Northern Winter 1991/92

Noboru Nakamura, David J. Lary, Fredric W. Taylor, 1999 .

Progress of machine learning in geosciences：Preface

Amir Hossein Alavi, Amir H. Gandomi, David J. Lary, 2016 .

Three‐dimensional tracer initialization and general diagnostics using equivalent PV latitude–potential‐temperature coordinates

Martyn P. Chipperfield, David J. Lary, John A. Pyle, 1995 .

An observing system simulation experiment to evaluate the scientific merit of wind and ozone measurements from the future SWIFT instrument

David J. Lary, Richard Swinbank, Roger Brugge, 2005 .

BigData and Machine Learning for Public Health

David J. Lary, 2014 .