BS, Wildlife Ecology and Management
Assistant research scientist with experience in environmental remote sensing, specifically wetland ecology and mapping invasive species, as well as GIS applications and field data collection. Interested in river management and landscape restoration utilizing GIS modeling and data acquisitions through remote sensing.
Assistant Research Scientist with experience in geospatial analysis and remote sensing. Current interests include wetland mapping methodologies, conceptual models of environmental phenomena, and K-12 remote sensing education.
MS, Natural Resources; BA, Biology
Research Scientist with interest/experience in the development of GIS-based products for wetland/forest management, modeling carbon dioxide emissions from forest fires, integrating classification methods for improved distinction among specific crop types, and wetland and forest field data collection.
MS, Engineering Physics
Senior scientist with 15 years experience in the fields of signal processing, sensor characterization, performance prediction and machine inference.
BA, Geography; MA, Geography with concentration in GIS and Remote Sensing
Geographer with interests in applying Geographic Information Systems and Remote Sensing analysis to Great Lakes, Land Use Land Cover, Environmental and Transportation issues. Other interests include air photo interpretation and using remote sensing and geospatial analysis for emergency management planning and response.
BS, Earth Science
Research Associate with an interest in using GIS and remote sensing to solve environmental and geological issues. Field experience includes the use of ASD Spectroradiometer, groundwater monitoring wells and water quality measuring devices.
MS, Environmental Science; BS, Biology
Assistant Research Scientist with interest in applying GIS and remote sensing techniques to environmental problems. Current research interests include using optical and SAR data to map wetland ecosystems.
K. Arthur Endsley
Geophysicist with experience in subsurface surveys, waveform processing, geospatial analysis, remote sensing and web development; interested in applying geophysics to a wide variety of field investigations as well as building analytical models of physical processes.
MS, Natural Resources and Environment; BA, Environmental Biology/Zoology
Spatial ecologist interested in applying remote sensing and spatial analysis techniques to complex environmental questions. Current research interests include mapping aquatic vegetation with satellite remote sensing and the use of full-waveform lidar data for sensing multidimensional forest structure.
BS, Electrical Engineering
Recent Michigan Tech graduate interested in applying embedded sensors to remote sensing problems.
MS, Biomedical Engineering; BS, Electrical Engineering
5 years of experience in environmental remote sensing algorithms, GIS software programming, environmental instrumentation design, and microfabrication design.
Liza Jenkins, CMS
Ph.D. Pre-candidate; MS and BS, Natural Resource Management
7 years of experience in satellite remote sensing and spatial data analysis. Research interests include the fusion of electro-optical and synthetic aperture radar data to investigate natural resource issues. Previous remote sensing applications include tundra lake characterization, wetland mapping, exotic species inventory, fire and emissions tracking, and glacier monitoring.
BS, Earth Science
Assistant Research Scientist focused in GIS and remote sensing applications of the Great Lakes watersheds. Water quality issues of interest include open lake water quality, sediment transport in coastal areas, watershed analysis and stream flow dynamics.
MS, Electrical Engineering; BS, Engineering Physics; BS, Electrical Engineering
12 years experience in optical signal processing and non-contact diagnostics, machine vision & image processing, and EM phenomenology. Interest in applications of GIS, astronomy, neuroscience, and AI.
MS, Forest Ecology and Management; BS, Wildlife Ecology and Management
Assistant Research Scientist interested in SAR remote sensing along with the monitoring of ecosystem flux due to various influences and drivers. Also has experience with GIS software as well as in SAR image processing and analysis.
MS, Conservation Biology
Behavioral ecologist with interest and experience in field biology; additional interests in the use of GIS and remote sensing to observe patterns of species occurrences and interactions, with special concern for the conservation of biodiversity.
Ph.D. Candidate, Statistical Signal Processing
10 years of experience in statistical signal processing. Research interests include information theoretic approaches to inverse imaging, and computational techniques for solving large inverse problems.
Ph.D., Applied & Interdisciplinary Mathematics
Applied mathematician with interests in inverse problems, partial differential equations, fluid mechanics, and optimization. Particular emphasis on applications in signal processing, image processing, and ocean-wave estimation.
Mary E Miller
Ph.D., Environmental Engineering; MS Imaging Science; BA Physics
Primary research interest is utilizing remotely derived image data in physically based environmental models. Strong interest in fire science especially fire effects and mitigation. Recent projects include the development of a physical model of post-fire dry ravel, reducing noise in LiDAR waveforms for determining forest biometrics and prioritizing fuel reduction treatments.
Ph.D., Forestry - Resource Inventory
Chuck is a registered forester (MI) and a certified photogrammetrist with more than 50 years experience, both civilian and military, in the interpretation and analysis of all types of remotely sensed imagery, and 40 years experience teaching remote sensing and GIS.
MS, Geographic Information Systems; BS, Geography-GIS
Analyst with experience in hyperspectral and lidar remote sensing of Great Lakes wetlands; using remote sensing principals and general/statistical programming for image analysis; and in-situ experience with the collecting and processing of spectral signature data.
MS, Computer Science
Computer Scientist working with Remote Sensing/GIS programming, web development, and database management. Also interested in Artificial Intelligence, Computer Graphics, and Computer Vision.
MS, Geographic Information Systems; BS, Geography
Analyst interested in high resolution hyperspectral remote sensing of Great Lakes wetlands, integrating GIS, remote sensing and statistical programming software for image processing, general geospatial programming solutions, and spectral signature field data collection and processing.
Ph.D., Applied Physics
Area of expertise is penalized-likelihood estimation for image reconstruction. Additional research interests are: (1) information-theoretic approaches to electro-optic sensor design, and (2) statistical optics.
Lin van Nieuwstadt
Ph.D., Electrical Engineering
Senior research scientist with 20 years experience in remote sensing hardware, microwave circuitry, and system engineering. Research interests microwave breast cancer imaging and remote sensing systems development.
MS, Physics; BS, Electrical Engineering
Research Scientist/Engineer with experience in physics based modeling, electromagnetic analysis, and signal and image processing techniques with applications in remote sensing and imaging systems.
BS, Computer Science
15 years plus as a software engineer and systems administrator. Programming experience include C, C++, Fortran, Python, ASP.NET, and various other languages and has maintained various flavors of Windows and Unix/Linux systems.
BS, Environmental Studies and Natural Resource Management
Over 14 years experience with GIS analysis, field data collection with a focus on water quality and terrestrial environments, outreach and web design, international conference management, workshop, focus group, and technical advisory group coordination, and database management.
MS, Biomedical Engineering; MSE Electrical Engineering, BSE Electrical Engineering
Analyst with five years experience in radar communications, signal and image processing, and RF experiment design and implementation. Academic experience in computer architecture and microprocessor design.