Anthony Vodacek Headshot

Anthony Vodacek

Professor

Chester F. Carlson Center for Imaging Science
College of Science

585-475-7816
Office Location

Anthony Vodacek

Professor

Chester F. Carlson Center for Imaging Science
College of Science

Education

BS, University of Wisconsin; MS, Ph.D., Cornell University

Bio

Anthony Vodacek is a Full Professor of Imaging Science at Rochester Institute of Technology (RIT). He received his B.S. (Chemistry) in 1981 from the University of Wisconsin-Madison and his M.S. and Ph.D. (Environmental Engineering) in 1985 and 1990 from Cornell University. His areas of research lie broadly in multi-modal remote sensing with a focus on the coupling of imaging with modeling for application to monitoring human and natural terrestrial and aquatic systems. His specific expertise is in spectral phenomenology, image interpretation, machine learning, and dynamic data driven applications systems. He has recently worked on applying these methods for projects addressing vehicle tracking, precision agriculture, and harmful algal blooms. His newest research areas involve remote sensing of the African Great Lakes and remote sensing of insects in the context of biodiversity assessment. He has worked in East Africa on various teaching and research projects for more than a decade. Vodacek completed a Fulbright Specialist project in 2019 in Malaysia, is an Associate Editor for the Journal of Great Lakes Research, is a Senior Member of IEEE, supports the IEEE Geoscience and Remote Sensing Society Global Activities as the liaison to Sub-Saharan Africa, and is a Corresponding Fellow of the Pan-African Scientific Research Council.

585-475-7816

Areas of Expertise

Currently Teaching

IMGS-111
3 Credits
This course is an exploration of the fundamentals of imaging science and the imaging systems of the past, present, and future. Imaging systems studied include the human visual system, consumer and entertainment applications (e.g., traditional and digital photography, television, digital television, HDTV, and virtual reality); medical applications (e.g., X-ray, ultrasound, and MRI); business/document applications (e.g., impact and non-impact printing, scanners, printers, fax machines, and copiers) and systems used in remote sensing and astronomy (e.g., night-vision systems, ground- and satellite-based observatories). The laboratory component reinforces the principles and theories discussed in the lecture, while giving students experience with many imaging systems and exposure to the underlying scientific principles.
IMGS-431
3 Credits
This course offers an introduction to remote sensing systems and a selection of environmental applications of remote sensing. The basic properties of electromagnetic radiation, its interaction with the atmosphere and earth surfaces (e.g., vegetation, minerals, water, etc.), and the interpretation of these interactions are dealt with in the first half of the course. This is followed by a description of airborne and spaceborne, active and passive sensors that operate throughout the electromagnetic spectrum for detecting physical phenomena. Finally, an introduction is provided to pre-processing and analysis techniques that are useful for extracting information from such sensors. The Earth's atmospheric, hydrospheric, and terrestrial processes are considered at local to regional scales. Application areas include monitoring vegetation health, measuring biomass (carbon sequestration), identifying cultural features, assessing water resources, and detecting pollution and natural hazards.
IMGS-540
3 Credits
This course introduces the students to the governing equations for radiance reaching aerial or satellite based imaging systems. It then covers the temporal, geometric, spectral, and noise properties of these imaging systems with an emphasis on their use as quantitative scientific instruments. This is followed by a treatment of methods to invert the remotely sensed image data to measurements of the Earth’s surface (e.g. reflectance and temperature) through various means of inverting the governing radiometric equation. The emphasis is on practical implementation of multidimensional image analysis and examining the processes governing spatial, spectral and radiometric image fidelity.
IMGS-640
3 Credits
This course introduces the students to the governing equations for radiance reaching aerial or satellite based imaging systems. It then covers the temporal, geometric, spectral, and noise properties of these imaging systems with an emphasis on their use as quantitative scientific instruments. This is followed by a treatment of methods to invert the remotely sensed image data to measurements of the Earth’s surface (e.g. reflectance and temperature) through various means of inverting the governing radiometric equation. The emphasis is on practical implementation of multidimensional image analysis and examining the processes governing spatial, spectral and radiometric image fidelity.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
0 Credits
Continuation of Thesis

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