Remote Sensing Laboratories: Jason Brazile

Research Associate

Spectroscopy Lab
Remote Sensing Laboratories
Department of Geography
University of Zurich - Irchel
Winterthurerstr. 190
CH-8057 Zurich, Switzerland

Room: Y25 L 53

Email: jbrazile@geo.unizh.ch

Phone: +41 1 635 52 50

Fax: +41 1 635 68 46

CV/Resume: [pdf]

Homepage: [etc.ch]

Blog: [blogspot]

Research Objective:

My research addresses issues arising in the production of general purpose scientific data products for the ESA/Prodex sponsored APEX airborne pushbroom imaging spectrometer. This work includes operational issues such as parallelization of standard generic product generation as well as general research into specific anomaly correction such as automatic spectral response function retrieval from image data using atmospheric and Fraunhofer features. Also covered is the parallelization of atmospheric correction lookup table information used in higher level products - reducing computation time from almost a month down to several hours.

Selected Publications:

J. Nieke, D. Schlapfer, F. Dell'Endice, J. Brazile, K. I. Itten, Uniformity of Imaging Spectrometry Data Products, in IEEE Transactions on Geoscience and Remote Sensing, 2008, Vol. 46, Issue 10, Part 2,pp. 3326-3336

J. Brazile, R. Richter, D. Schlaepfer, M. E. Schaepman, K. I. Itten, Toward Scene-Based Retrieval of Spectral Response Functions for Hyperspectral Imagers Using Fraunhofer Features, in Canadian Journal of Remote Sensing, 2008, Vol. 34, Suppl. 1, pp. S43-S58

J. Brazile, R.A. Neville, K. Staenz, D. Schlaepfer, L. Sun, K. I. Itten, Cluster versus Grid for Operation Generation of ATCOR's MODTRAN-based Look Up Tables, in Parallel Computing Systems and Applications, Elsevier, 2008, Vol 34, Issue 1, pp. 32-46

J. Brazile, A RESTful Grid Service for Non-Programmers, Proc. Jazoon '07, The International Conference on Java Technology, Zurich

J. Brazile, R.A. Neville, K. Staenz, D. Schlaepfer, L. Sun, K I. Itten, Scene-based spectral response function shape discernibility for the APEX imaging spectrometer, in Geoscience and Remote Sensing Letters, IEEE, Vol 3 Issue 3, Jul 2006, pp 414-418

W.A. Dorigo, R. Zurita-Milla, A.J.W. de Wit, J. Brazile, R. Singh, M.E. Schaepman, A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling, in Journal of Applied Earth Observation and Geoinformation, 2006

A. Plaza, J. A. Benediktsson, J. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, A. Gualtieri, M. Marconcini, J. C. Tilton and G. Trianni, Processing of Hyperspectral Image Data: Advanced Technologies, in Proc. IGARSS 2006

J. Brazile, J.W. Kaiser, D. Schlaepfer, J. Nieke, M.E. Schaepman, K I. Itten, Parallelization of APEX airborne imaging spectrometer product generation, in 4th EARSeL Workshop on Imaging Spectrometry, 2005

J. Brazile, M. E. Schaepman, D. Schlaepfer, J W. Kaiser, J. Nieke, K I. Itten, Cluster versus grid for large-volume hyperspectral image preprocessing, in SPIE End-to-End Atmospheric Processing, 2004

J. Nieke, J. W. Kaiser, D. Schläpfer, J. Brazile, and K. I. Itten, Calibration Methodology for the Airborne Dispersive Pushbroom Imaging Spectrometer (APEX), in proceedings of the SPIE vol 5570, 2004

D. Schläpfer, J. W. Kaiser, J. Brazile, M. E. Schaepman, and K. I. Itten, Modeling and correcting spatial non-uniformity of the APEX pushbroom imaging spectrometer, in proceedings of the 2004 JPL AVIRIS Workshop

D. Schläpfer, J. W. Kaiser, J. Brazile, M. E. Schaepman, and K. I. Itten, Calibration concept for potential optical aberrations of the APEX pushbroom imaging spectrometer, in SPIE Imaging Spectrometry, 2003.

J. W. Kaiser, D. Schläpfer, J. Brazile, P. Strobl, M. E. Schaepman, and K. I. Itten, Assimilation of heterogeneous calibration measurements for the APEX spectrometer, in SPIE Imaging Spectrometry, 2003.

J. Brazile, P. Kohler, and S. Hefti, A software architecture for in-flight acquisition and offline scientific post-processing of large volume hyperspectral data, in Proceedings of the 10th Tcl/Tk Conference (Tcl/2003): July 29-Aug 2, 2003, Ann Arbor, Michigan, USA (Noumena, ed.), (Dexter, MI, USA), Noumena, 2003.

J. Brazile, M. E. Schaepman, D. Schläpfer, J. W. Kaiser, and K. Itten, A beowulf-style cluster processing concept for large volume imaging spectroscopy data, in 7th World Multiconference on Systemics, Cybernetics and Informatics, vol. X, pp. 1720, IIIS, 2003.

M. E. Schaepman, D. Schläpfer, J. Brazile, and S. Bojinski, Processing of large-volume airborne imaging spectrometer data: the APEX approach, in SPIE Imaging Spectrometry VIII, vol. 4816, (Bellingham, Washington, USA), pp. 7279, 2002.

J. Brazile and A. Vckovski, A generated XML interface to an abstract market data service, in XML Conference and Exposition 2001, 2001.

J. Brazile and A. Vckovski, Rapid CORBA server development in Tcl: A case study, in Proceedings of the 7th USENIX Tcl/Tk Conference (Tcl/2k): February 1418, 2000, Austin, Texas, USA (USENIX, ed.), (Berkeley, CA, USA), USENIX, 2000.

A. Vckovski and J. Brazile, A multi-threaded server for shared hash table access, in Proceedings of the 7th USENIX Tcl/Tk Conference (Tcl/2k): February 1418, 2000, Austin, Texas, USA (USENIX, ed.), (Berkeley, CA, USA), USENIX, 2000.

Fun Publications:

Jason Brazile and Stefan Tramm, DTrace for Java Developers Jazoon '08, The International Conference on Java Technology, Zurich, 2008

T. Painter, M.E. Schaepman, W. Schweitzer and J. Brazile, Spectroscopic Discrimination of Shit from Shinola, Annals of Improbable Research, vol. 13(5), 2007.
(background for non-native english speakers)

Jason Brazile and Stefan Tramm, Cross Platform Java Analysis with DTrace Jazoon '07, The International Conference on Java Technology, Zurich, 2007

Interviewed for a news magazine article about Donald Knuth in the Neue Zürcher Zeitung (German), 2002

J. Brazile, Iterating over permutations, The Perl Journal, vol. 3(3), 1998.

J. Brazile, Labelling Guitar Chords, submitted to The Perl Journal, 1998.

A Guitar Fingering Tool, project for a University of Texas graduate computer science course in Artificial Intelligence, 1994