Jeffrey H. Bowles

According to our database, Jeffrey H. Bowles authored at least 14 papers between 2003 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A Systematic Sensitivity Study on Surface Pixel Shifts in High Spatial Resolution Satellite Images Resulting from Atmospheric Refraction in the Sensor to Surface Ray Path.

Bo-Cai Gao, Evan Ward, Jeffrey H. Bowles, Adam Yingling

Sensors, 2020

2015

Expected Improvements in the Quantitative Remote Sensing of Optically Complex Waters with the Use of an Optically Fast Hyperspectral Spectrometer - A Modeling Study.

Wesley J. Moses, Jeffrey H. Bowles, Michael R. Corson

Sensors, 2015

2014

HICO-Based NIR-Red Models for Estimating Chlorophyll-a Concentration in Productive Coastal Waters.

Wesley J. Moses, Anatoly A. Gitelson, Sergey Berdnikov, Jeffrey H. Bowles, Vasiliy Povazhnyi, Vladislav Saprygin, Ellen J. Wagner, Karen W. Patterson

IEEE Geosci. Remote. Sens. Lett., 2014

Operational NIR-red algorithms for estimating chlorophyll-a concentration from satellite data in inland and coastal waters.

Wesley J. Moses, Anatoly A. Gitelson, Sergey Berdnikov, Jeffrey H. Bowles, Vasiliy Povazhnyi, Vladislav Saprygin, Ellen J. Wagner, Karen W. Patterson

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2010

The Hyperspectral Imager for the Coastal Ocean (HICO)- design and early results.

Daniel R. Korwan, Robert L. Lucke, Michael Corson, Jeffrey H. Bowles, B. G. Gao, Rong-Rong Li, Marcos J. Montes, William A. Snyder, Norman McGlothlin, Steven Butcher, Daniel L. Wood, Curtiss O. Davis, W. David Miller

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

The Hyperspectral Imager for the Coastal Ocean (HICO^TM) environmental littoral imaging from the International Space Station.

Michael Corson, Robert Lucke, Curtiss O. Davis, Jeffrey H. Bowles, Davidson Chen, Bo-Cai Gao, Daniel Korwan, W. David Miller, William A. Snyder

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Bathymetric Retrieval From Hyperspectral Imagery Using Manifold Coordinate Representations.

Charles M. Bachmann, Thomas L. Ainsworth, Robert A. Fusina, Marcos J. Montes, Jeffrey H. Bowles, Daniel Korwan, David B. Gillis

IEEE Trans. Geosci. Remote. Sens., 2009

Interpretation of Absorption Bands in Airborne Hyperspectral Radiance Data.

Karl H. Szekielda, Jeffrey H. Bowles, David B. Gillis, W. David Miller

Sensors, 2009

Laboratory Characterization of the Hyperspectral Imager for the Coastal Ocean (HICO).

Daniel Korwan, Robert Lucke, Norman McGlothlin, Steven Butcher, Daniel Wood, Jeffrey H. Bowles, Michael Corson, William A. Snyder, Curtiss O. Davis, Davidson Chen

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2006

Evaluation of Near-UV/blue Aerosol Optical Thickness Retrieval from Airborne Hyperspectral Imagery.

Felix C. Seidel, Jens Nieke, Daniel Schläpfer, Klaus I. Itten, Jeffrey H. Bowles

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Modeling Coastal Waters from Hyperspectral Imagery using Manifold Coordinates.

Charles M. Bachmann, Thomas L. Ainsworth, David B. Gillis, Shelia J. Maness, Marcos J. Montes, Timothy F. Donato, Jeffrey H. Bowles, Daniel Korwan, Robert A. Fusina, Gia M. Lamela, W. Joseph Rhea

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2004

The HICO program - hyperspectral imaging of the coastal ocean from the International Space Station.

Michael Corson, Jeffrey H. Bowles, Wei Chen, Curtiss O. Davis, K. H. Gallelli, Daniel Korwan, Paul G. Lucey, Todd J. Mosher, Rick Holasek

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Hyperspectral sensor characteristics needed for coastal ocean science.

Jeffrey H. Bowles, Michael Corson, Curtiss O. Davis, Daniel Korwan, Marcos J. Montes, William A. Snyder

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2003

ORASIS framework - benefits to working within the linear mixing model.

Jeffrey H. Bowles, Wei Chen, David B. Gillis

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003