Dr. Douglas G. Goodin
Professor and Director, Remote Sensing Research Laboratory
Ph.D., 1993, University of Nebraska
Dr. Goodin's current research focuses on a number topics. He is currently exploring how hyperspectral leaf and canopy level spectroscopy can help diagnose the presence of invasive pests, especially the Emerald Ash Borer, in trees that are growing in stressed or urban environments, and how such data can be used to improve the capability of the Prospect\SAIL canopy model to simulate spectral reflectance in stressed and diseased canopies. Other research interests include understanding how selection of model parameters effects classification accuracy when using machine learning methods. He is also investigating complex behavior in vegetation index times series, with the goal of constraining their ability to quantify and predict surface biophysical properties.
- Moley, L., Goodin, D., and Winslow. W. 2022. Leaf-level spectroscopy for analysis of invasive pest impact on trees in a stressed environment: An example using Emerald Ash Borer (Agrilus planipennis Fairmaire) in ash trees (Fraxinus spp.), Kansas, USA. Environments.
- Luo, D, Caldas, M.A., Goodin, D.G. 2021. Estimating environmental vulnerability in the cerrado with machine learning and Twitter data. Journal of Environmental Management.
- Ling, Bohua, Goodin, Douglas G., Raynor, Edward J., and Joern, Anthony. 2019. Hyperspectral analysis of leaf pigments and nutritional elements in tallgrass prairie vegetation. Frontiers in Plant Science.
- Goodin, D.G., Jonsson, C.B., Allen, L.J.S., and Owen, R.B. 2018. Integrating landscape hierarchies in the discovery and modeling of ecological drivers of zoonotically transmitted disease from wildlife. Advances in Environmental Microbiology.
- Mitchell P. Braget, Douglas G. Goodin, Jida Wang, James M. S. Hutchinson, and Kathleen Alexander. 2018. Flooded area classification using pooled training samples: An example from the Chobe River Basin, Botswana. Journal or Applied Remote Sensing.
- Graduate Admissions Committee Member
- Department Curriculog Coordinator
- Journal Editorial Board Member: Remote Sensing, Sensors
Dr. Douglas Goodin received his doctorate In Geography from the University of Nebraska. He joined the Department of Geography and Geospatial Sciences at Kansas State University in 1993. His research emphasizes the use of biophysical remote sensing for environmental analysis, and use of machine learning methods for image classification. He teaches courses in introductory physical geography, remote sensing, geocomputation, and research methods.