While my work here at Goddard has varied widely over the years, my strengths in computer programming and data analysis have been the common threads running through all of the projects. My background in mathematics and computer science has proven to be valuable for many diverse applications for NASA. Recently my time has been split between support of MODIS and VIIRS geolocation and data processing algorithms, including the VIIRS Day/Night band, and interdisciplinary work with Code 670. The latter work is supported by the Science Innovation Fund, and we are currently evaluating the synergy among multiple data sources: the Day/Night band data, aurora forecast model data, in situ electromagnetic field data, and citizen science aurora observations. Previous SIF support has enabled the development and validation of a vortex identification algorithm for data-mining of magnetosphere model data.
Notable previous work includes GUI, client-server programming, and graphics for the Federal Ecosystem Dynamics Project, and, in collaboration with Thomas Goff, design and implementation of the original Global Inventory Monitoring and Modeling System (GIMMS) production level mapping and image processing system for the study of land processes on global and continental scales using satellite data.
Remote Sensing, Geographical Information Systems, Low-dimensional modeling, Computational Fluid Dynamics, Dynamical Systems, Scientific Data Visualization
Techniques in data mining, visualization, and analysis are interdisciplinary and are applicable across the range of NASA research areas. I have devleloped software for applications in computational fluid dynamics, data mining for vortical structure in the magnetosphere, and Earth science applications.
MODAPS,
LSIPS,
SIF
Modis Adaptive Processing System (MODAPS)
Land Science Investigator-led Processing Systems (SIPS)
Science Innovation Fund project for aurora research in collaboration with Code 670 (SIF)
Society for Industrial and Applied Mathematics (SIAM),
2011
-
Present
American Geophysical Union (AGU),
2017
-
Present
M.S. Geographic Information Systems, Johns Hopkins University. 2017
"Evaluating a Vegetation Adjusted Nighttime Lights Urban Index"
Ph.D. Applied Mathematics, University of Maryland, College Park. 2004
"Low-Dimensional Models for Fluid Flow"
M.A. Mathematics, University of Maryland, College Park
"A derivation of the Wallpaper Groups"
B.A. Mathematics, University of Maryland, Baltimore County
Mathematica for prototyping and data analysis;
ArcGIS for GIS spatial analysis;
Python, especially useful for a programmable interface with ArcGIS;
‘C’ programming language
Refereed
Collado-Vega, Y. M., R. L. Kessel, D. G. Sibeck, et al. 2013. "Comparison between vortices created and evolving during fixed and dynamic solar wind conditions."
ANNALES GEOPHYSICAE,
31:
1463-1483
[10.5194/angeo-31-1463-2013]
Kalb, V. L., and A. Deane. 2007. "An intrinsic stabilization scheme for proper orthogonal decomposition based low-dimensional models."
Phys Fluids,
19
(5):
18 pp
[10.1063/1.2723149]
Knox, R., V. L. Kalb, D. Kendig, and E. Levine. 1997. "A problem-solving workbench for interactive simulation of ecosystems."
IEEE Computational Science & Engineering,
4
(3):
52-60
[10.1109/99.615431]
Non-Refereed
Kalb, V. L. 2004. "Low-dimensional models for fluid flow."
Ph.D dissertation
University of Maryland, College Park, MD:
Kalb, V. L., and T. E. Goff. 1987. "GIMMS Interactive Mapping/Image Processing."
Proceedings HP Technical Conference
While my work here at Goddard has varied widely over the years, my strengths in computer programming and data analysis have been the common threads running through all of the projects. My background in mathematics and computer science has proven to be valuable for many diverse applications for NASA. Recently my time has been split between support of MODIS and VIIRS geolocation and data processing algorithms, including the VIIRS Day/Night band, and interdisciplinary work with Code 670. The latter work is supported by the Science Innovation Fund, and we are currently evaluating the synergy among multiple data sources: the Day/Night band data, aurora forecast model data, in situ electromagnetic field data, and citizen science aurora observations. Previous SIF support has enabled the development and validation of a vortex identification algorithm for data-mining of magnetosphere model data.
Notable previous work includes GUI, client-server programming, and graphics for the Federal Ecosystem Dynamics Project, and, in collaboration with Thomas Goff, design and implementation of the original Global Inventory Monitoring and Modeling System (GIMMS) production level mapping and image processing system for the study of land processes on global and continental scales using satellite data.
Refereed
Collado-Vega, Y. M., R. L. Kessel, D. G. Sibeck, et al. 2013. "Comparison between vortices created and evolving during fixed and dynamic solar wind conditions."
ANNALES GEOPHYSICAE
31
1463-1483
[10.5194/angeo-31-1463-2013]
Kalb, V. L., and A. Deane. 2007. "An intrinsic stabilization scheme for proper orthogonal decomposition based low-dimensional models."
Phys Fluids
19
(5):
18 pp
[10.1063/1.2723149]
Knox, R., V. L. Kalb, D. Kendig, and E. Levine. 1997. "A problem-solving workbench for interactive simulation of ecosystems."
IEEE Computational Science & Engineering
4
(3):
52-60
[10.1109/99.615431]
Non-Refereed
Kalb, V. L. 2004. "Low-dimensional models for fluid flow."
Ph.D dissertation
Kalb, V. L., and T. E. Goff. 1987. "GIMMS Interactive Mapping/Image Processing."
Proceedings HP Technical Conference
