Michael Falkowski

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Increasing concerns over climate change, biodiversity loss, and ecosystem disturbance have increased the demand for spatially explicit, large area ecosystem characterizations. To meet this need, my research is focused upon solving applied problems in ecosystem science and sustainable ecosystem management. I am particularly interested in developing methods to quantify and monitor vegetation structure and composition across large spatial extents, primarily via remote sensing and spatial modeling.

My research program is largely focused on developing accurate and efficient methods to characterize, measure, and monitor vegetation structure, composition, and function across large spatial extents. This is primarily motivated by the expanding scope and information needs of both ecosystem science and sustainable resource management. Although many of my research projects are focused on unique problems, there is one common thread throughout: the use and development of cutting edge remote sensing and geospatial technologies, in combination with fundamental field measurements and statistical analyses, to gain a better understanding of natural and managed environments, while supporting applied land management and conservation whenever possible.

In addition to research, I have been active in teaching, and the teaching opportunities I have had over my career have been truly rewarding. Most of these experiences have been in the form of working with students in a classroom setting, in the field, or in the computer laboratory. I have also recently become involved with teaching professionals in outreach workshop settings. I have designed, developed, and taught numerous courses at graduate and undergraduate levels in remote sensing and spatial science including: “Digital Image Processing”, Remote Sensing of the Environment”, “Advanced Terrestrial Remote Sensing”, “Applied Terrestrial Laser Scanning”, “Spatial Statistics, Aerial Photo Interpretation”, “Introduction to Spatial Analysis for Natural Resource Management”, “Introduction to Geographic Information Systems”, as well as “Forest Measurements and Inventory”, among others.

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