Raymond Kokaly
Raymond Kokaly is an expert on the application of remote sensing and spectroscopy for vegetation and mineral characterization. His peer-reviewed publications on the use of spectroscopy include: quantifying biochemical content in leaf spectra, discriminating conifer species, examining post-fire surface cover, and characterizing the impact of oil contamination from the Deepwater Horizon spill.
His research has used multispectral and hyperspectral remote sensing data from AVHRR, Landsat, Hyperion, AVIRIS, HyMap, and MODIS. Raymond created the PRISM software, a framework for archiving and analyzing spectroscopic data collected in the laboratory and the field and from remote sensing platforms. PRISM was applied to map surficial minerals across most of Afghanistan, covering more than 480,000 sq. km. an area about the size of the state of California.
Professional Experience
Research Geophysicist, U.S. Geological Survey, 1996–present
Education and Certifications
University of Colorado at Boulder, M.S. in Aerospace Engineering Sciences, 1993
Science and Products
Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies
Airborne Hyperspectral Survey of Afghanistan 2007: Flight Line Planning and HyMap Data Collection
Hyperspectral remote sensing data were acquired over Afghanistan with the HyMap imaging spectrometer (Cocks and others, 1998) operating on the WB-57 high altitude NASA research aircraft (http://jsc-aircraft-ops.jsc.nasa.gov/wb57/index.html). These data were acquired during the interval of August 22, 2007 to October 2, 2007, as part of the United States Geological Survey (USGS) project 'Oil and Gas
View_SPECPR: Software for Plotting Spectra (Installation Manual and User's Guide, Version 1.2)
Preliminary analytical results for ash and burned soils from the October 2007 southern California wildfires
USGS Digital Spectral Library splib06a
Postfire soil burn severity mapping with hyperspectral image unmixing
Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing
Evaluating minerals of environmental concern using spectroscopy
The future of imaging spectroscopy - Prospective technologies and applications
Classification of leafy spurge with earth observing-1 advanced land imager
View_SPECPR Software, Installation Procedure, and User's Guide (Version 1.1)
Preliminary report on using imaging spectroscopy to map ultramafic rocks, serpentinites, and tremolite-actinolite-bearing rocks in California
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Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies
For two decades, remotely sensed data from imaging spectrometers have been used to estimate non-pigment biochemical constituents of vegetation, including water, nitrogen, cellulose, and lignin. This interest has been motivated by the important role that these substances play in physiological processes such as photosynthesis, their relationships with ecosystem processes such as litter decompositionAuthorsR.F. Kokaly, Gregory P. Asner, S.V. Ollinger, M.E. Martin, C.A. WessmanAirborne Hyperspectral Survey of Afghanistan 2007: Flight Line Planning and HyMap Data Collection
Hyperspectral remote sensing data were acquired over Afghanistan with the HyMap imaging spectrometer (Cocks and others, 1998) operating on the WB-57 high altitude NASA research aircraft (http://jsc-aircraft-ops.jsc.nasa.gov/wb57/index.html). These data were acquired during the interval of August 22, 2007 to October 2, 2007, as part of the United States Geological Survey (USGS) project 'Oil and Gas
AuthorsRaymond F. Kokaly, Trude V.V. King, K. Eric LivoView_SPECPR: Software for Plotting Spectra (Installation Manual and User's Guide, Version 1.2)
This document describes procedures for installing and using the 'View_SPECPR' software system to plot spectra stored in SPECPR (SPECtrum Processing Routines) files. The View_SPECPR software is comprised of programs written in IDL (Interactive Data Language) that run within the ENVI (ENvironment for Visualizing Images) image processing system. SPECPR files are used by earth-remote-sensing scientistAuthorsRaymond F. KokalyPreliminary analytical results for ash and burned soils from the October 2007 southern California wildfires
The U.S. Geological Survey (USGS) collected ash and burned soils from about 28 sites in southern California wildfire areas (Harris, Witch, Ammo, Santiago, Canyon and Grass Valley) from Nov. 2 through 9, 2007 (table 1). USGS researchers are applying a wide variety of analytical methods to these samples, with the goal of helping identify characteristics of the ash and soils from wildland and suburbaAuthorsGeoffrey S. Plumlee, Deborah A. Martin, Todd Hoefen, Raymond F. Kokaly, Philip Hageman, Alison Eckberg, Gregory P. Meeker, Monique Adams, Michael Anthony, Paul J. LamotheUSGS Digital Spectral Library splib06a
Introduction We have assembled a digital reflectance spectral library that covers the wavelength range from the ultraviolet to far infrared along with sample documentation. The library includes samples of minerals, rocks, soils, physically constructed as well as mathematically computed mixtures, plants, vegetation communities, microorganisms, and man-made materials. The samples and spectra collAuthorsRoger N. Clark, Gregg A. Swayze, Richard A. Wise, K. Eric Livo, Todd M. Hoefen, Raymond F. Kokaly, Stephen J. SutleyPostfire soil burn severity mapping with hyperspectral image unmixing
Burn severity is mapped after wildfires to evaluate immediate and long-term fire effects on the landscape. Remotely sensed hyperspectral imagery has the potential to provide important information about fine-scale ground cover components that are indicative of burn severity after large wildland fires. Airborne hyperspectral imagery and ground data were collected after the 2002 Hayman Fire in ColoraAuthorsP.R. Robichaud, S.A. Lewis, D.Y.M. Laes, A.T. Hudak, R.F. Kokaly, J.A. ZamudioCharacterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing
Forest fires leave behind a changed ecosystem with a patchwork of surface cover that includes ash, charred organic matter, soils and soil minerals, and dead, damaged, and living vegetation. The distributions of these materials affect post-fire processes of erosion, nutrient cycling, and vegetation regrowth. We analyzed high spatial resolution (2.4??m pixel size) Airborne Visible and Infrared ImagiAuthorsR.F. Kokaly, B.W. Rockwell, S.L. Haire, T. V. V. KingEvaluating minerals of environmental concern using spectroscopy
Imaging spectroscopy has been successfully used to aid researchers in characterizing potential environmental impacts posed by acid-rock drainage, ore-processing dust on mangroves, and asbestos in serpentine mineral deposits and urban dust. Many of these applications synergistically combine field spectroscopy with remote sensing data, thus allowing more-precise data calibration, spectral analysis oAuthorsG.A. Swayze, R. N. Clark, C.T. Higgins, R.F. Kokaly, K. Eric Livo, T.M. Hoefen, C. Ong, F.A. KruseThe future of imaging spectroscopy - Prospective technologies and applications
Spectroscopy has existed for more than three centuries now. Nonetheless, significant scientific advances have been achieved. We discuss the history of spectroscopy in relation to emerging technologies and applications. Advanced focal plane arrays, optical design, and intelligent on-board logic are prime prospective technologies. Scalable approaches in pre-processing of imaging spectrometer data wiAuthorsM.E. Schaepman, R.O. Green, S.G. Ungar, B. Curtiss, J. Boardman, A.J. Plaza, B.-C. Gao, S. Ustin, R. Kokaly, J.R. Miller, S. Jacquemoud, E. Ben-Dor, R. Clark, C. Davis, J. Dozier, D.G. Goodenough, D. Roberts, G. Swayze, E.J. Milton, A. F. H. GoetzClassification of leafy spurge with earth observing-1 advanced land imager
Leafy spurge (Euphorbia esula L.) is an invasive exotic plant that can completely displace native plant communities. Automated techniques for monitoring the location and extent of leafy spurge, especially if available on a seasonal basis, could add greatly to the effectiveness of control measures. As part of a larger study including multiple sensors, this study examines the utility of mapping theAuthorsS. Stitt, R. Root, K. Brown, S. Hager, C. Mladinich, G.L. Anderson, K. Dudek, M.R. Bustos, R. KokalyView_SPECPR Software, Installation Procedure, and User's Guide (Version 1.1)
No abstract available.AuthorsRaymond F. KokalyPreliminary report on using imaging spectroscopy to map ultramafic rocks, serpentinites, and tremolite-actinolite-bearing rocks in California
Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) data were collected in approximately 3- kilometer-wide swaths over selected areas in El Dorado and Plumas Counties that contain serpentinite and ultramafic rocks as part of an experiment to determine if potentially asbestos-bearing rocks could be identified spectrally. M ineral maps created from the AVIRIS data were used successfully to delinAuthorsGregg A. Swayze, Chris T. Higgins, John P. Clinkenbeard, Raymond F. Kokaly, Roger N. Clark, Gregory P. Meeker, Stephen J. Sutley - Web Tools
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