L. Monika Moskal

  • Associate Professor
  • Associate Director
  • Director, Precision Forestry Cooperative
    • 206-225-1510
  • Visit L. Monika's website
  • L. Monika Moskal

    • Associate Professor
    • Associate Director
    • Director, Precision Forestry Cooperative

    Research areas

    Remote sensing; biospatial analysis

    My research lab, the Remote Sensing and Geospatial Analysis laboratory (RSGAL), is focused on driving the understanding of multiscale dynamics of landscape change through the innovative application of remote sensing and geospatial tools.

    B.E.S., Environmental Studies, University of Waterloo
    M.Sc., Geography, University of Calgary
    Ph.D., Geography, University of Kansas

    Dr. Moskal is currently seeking a Ph.D. graduate student interested in wetland, carbon, remote sensing. Learn more here

    Courses

    Current Sponsored Projects

    • Analyzing Environmental Changes in Interior Alaska (1982-2014)
      This project will use a unique combination of field data, airborne remote sensing, and satellite time series to characterize the spatial heterogeneity of vegetation changes in interior Alaska since 1982.
    • Bureau of Land Management Precision Forestry Cooperative
      The Precision Forestry Cooperative will continue the refinement and development of LiDAR based forest applications to assess stream and riparian habitats.
    • PFC Carbon Monitoring Systems RJVA
      This research agreement will support the development of an optimal sampling design for carbon monitoring using a combination of specialized field plots, airborne lidar sampling, and Landsat time series data, as well as the analysis of this and other similar data to meet the goals of NGHGI inventory and, more broadly, the Forest Inventory and Analysis (FIA) program.
    • PhoDar at Panther Creek Research Plots
      This project will acquire photogrammetric detection and ranging (PhoDAR) techniques for forest inventory and soil study plots at the Panther Creek research site in the state of Oregon. Quantum Spatial (contractor) will acquire the necessary imagery for the Oregon BLM Harvest Sites Phodar Contractor shall provide one (1) report containing the results on the use of remote sensing and photogrammetric detection and ranging (PhoDAR) techniques on forest resources in the Pacific Northwest.
    • Using Airborne LiDAR to Assess, Compare, and Contrast Forested Landscapes
      In this project, LiDAR scientists in the PNW Research Station, Region 5’s Remote Sensing Laboratory, and the UW Forest RRAMS will work together to prototype, test, and refine a conceptual framework that uses the newly developed methods to measure forest structure and compare forest conditions for different areas.

    Selected publications

    Dr. Moskal’s latest publications can also be found here.

    Richardson, J. C. Torgersen, L. M. Moskal. Pre-print 2019. LiDAR-based modelling approaches for estimating solar insolation in heavily forested streams. Hydrology and Earth System Sciences. 487. 10.5194/hess-2018-487

    Kato, A., L. M. Moskal, J. L. Batchelor, D. Thau, and A. A. Hudak, in press, 2019. Relationship between Satellite-Based Spectral Burn Ratios and Terrestrial Laser Scanning, Forests, 10(5); 444. doi.org/10.3390/f10050444

    Blomdahl, E. M., C.M. Thompson, J. R. Kane, V. R. Kane,D. Churchill, L. M. Moskal, and J. A. Lutz. 2019. Forest structure predictive of fisher (Pekania pennanti) dens exists in recently burned forest in Yosemite, California, USA. Forest Ecology and Management, 44; 174-186. 10.1016/j.foreco.2019.04.024