Lee Miller
(509) 372-6887
Send Email
Biography
Mr. Lee Miller specializes in using GIS and remote sensing technologies with a focus on environmental applications. Recent research on mapping invasive species has used data fusion techniques that combine data from the U.S. Department of Energy’s Multispectral Thermal Imager (MTI) with recent National Oceanic and Atmospheric Administration (NOAA) lidar acquisitions and the University of Washington’s Olympic Natural Resources Center field data for the detection of Spartina alterniflora in Willapa Bay, Washington. Mr. Miller served as technical lead to the Fort Lewis Land Cover and Invasive Species project, which used the fusion of several data sets into ERDAS Imagine’s Knowledge Engineer to develop a detailed land cover and Scots Broom classification for the US Army’s Fort Lewis training area. In other research, Mr. Lee is involved in the calculation of available renewable energy sources on a global scale using various temporal GRIB (GRIdded Binary) data files available from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis Dataset as part of the Global Wind and Solar Energy Availability program. Mr. Miller also maintained a position on the National Aeronautics and Space Administration (NASA) Stennis Commercial Remote Sensing System (CRESS) project from 2000 – 2002, where he specialized in high-resolution commercial remote sensing orthorectification and image processing for environmental application development. Mr. Miller has a working knowledge of ESRI ArcView/ArcInfo/ArcGIS, ERDAS Imagine 8.5, ENVI 3.5, PCI Geomatica 8.2, Solaris 2.6, Photoshop 7, Dreamweaver MX, Flash 5, and Fireworks 4.
PNNL Publications
2023
- Taylor M.S., L.M. Miller, J.T. Barlow, R.L. Michaels, V.M. Sinnott, K. Kazimierczuk, and R.M. Tapio, et al. 2023. Using National-Scale Data to Inform Coal Power Plant Redevelopment and Coal Community Revitalization Planning. PNNL-34973. Richland, WA: Pacific Northwest National Laboratory. Using National-Scale Data to Inform Coal Power Plant Redevelopment and Coal Community Revitalization Planning
2022
- Amici S., D. Spiller, L. Ansalone, and L.M. Miller. 2022. "Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS &L8)." Journal of Geophysical Research: Biogeosciences 127, no. 12:Art. No. e2022JG007055. PNNL-SA-175599. doi:10.1029/2022JG007055
- Branch R.A., Z. Yang, B. Maurer, L.M. Miller, and L. Garavelli. 2022. Riverine Plastic Pollution: Sampling and Analysis Methods. PNNL-32657. Richland, WA: Pacific Northwest National Laboratory. doi:10.2172/1863833.Riverine Plastic Pollution: Sampling and Analysis Methods
2008
- Hibler L.F., A.R. Maxwell, L.M. Miller, N.P. Kohn, D.L. Woodruff, M. Montes, and M.A. Moline. 2008. "Improved fine-scale transport model performance using AUV and HSI feedback in a tidally dominated system." Journal of Geophysical Research. C. (Oceans) 113. PNNL-SA-58167. doi:10.1029/2008JC004739
2007
- Jones M.E., L.M. Miller, D.L. Woodruff, and D.W. Ewert. 2007. "Mapping of Submerged Aquatic Vegetation Using Autonomous Underwater Vehicles in Nearshore Regions." In Oceans 2007, 1450-1456. Piscataway, New Jersey:IEEE. PNNL-SA-56566. doi:10.1109/OCEANS.2007.4449331
2006
- Steinmaus K.L., J. Bowles, D.L. Woodruff, T. Donato, W.J. Rhea, W.A. Snyder, and D.R. Korwan, et al. 2006. "Evolution of a Man-Made Plume in Coastal Waters." Eos 87, no. 51:581-592. PNNL-SA-50983.
2003
- Goward S.N., P.E. Davis, D. Fleming, L.M. Miller, and J.R. Townshend. 2003. "Empirical comparison of Landsat 7 and IKONOS multispectral measurements for selected Earth Observation System (EOS) validation sites." Remote Sensing of Environment 88, no. 1-3:80-99. PNWD-SA-6382.