L. Monika Moskal

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

    • L. Monika Moskal

    • Professor
    • Director, Precision Forestry Cooperative
    • McLachlan Endowed Professor

    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

    Autumn Admissions 2026: Professor Moskal is not recruiting students at this time. 

    Courses

    Current sponsored projects

    • NASA Carbon Monitoring Systems (CMS): Project Lead: Moskal (CMS 2018): Teal Carbon – Stakeholder-driven Monitoring of Forested Wetland Carbon Collaborator: Hudak (CMS 2018): A bottom-up, stakeholder-driven CMS for regional biomass carbon dynamics: Phase II

    • Phase I, II and III for Center for Advanced Forestry Systems (CAFS) located at The University of Washington, NSF Award # 0855690; two prior phases were also funded under 3851013 & 3098329

    • Bridging The Gap Between Data & Forest Sciences

    • Analyzing Environmental Changes and Evaluation of ground-based laser scanning to support operational forest inventory in interior Alaska

    • Mapping and reconstructing wetland surface water area, snow cover, and vegetation phenology in Mount Rainier National Park

    • Digital aerial photogrammetry (DAP) accuracy assessment for habitat modeling

    • Canada lynx (Lynx canadensis) habitat mapping with terrestrial laser

    • D-ISN/Collaborative Research: Machine Learning to Improve Detection and Traceability of Forest Products using Stable Isotope Ratio Analysis (SIRA)

    Selected publications

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

    Zheng, G., Z. Yun, L. M. Moskal and P. Gong, 2023. Stratifying forest overstory and understory using the Global Ecosystem Dynamic Investigation (GEDI) laser scanning data. Journal of Applied Earth Observation and Geoinformation, 123(103538), 10.1016/j.jag.2023.103538.

    *Batchelor, J. A. Hudak, P. Gould and L. M. Moskal, 2023. Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat Using Machine Learning. Remote Sensing, 15(18), 10.3390/rs15184434.

    Campbell, A.D., T. Fatoyinbo, S. P. Charles, L. L. Bourgeau-Chavez, J. Goes, H. Gomes, M. Halabisky, J. Holmquist, S.Lohrenz, C.Mitchell, L. M. Moskal, B.Poulter, H. Qiu, C. H. R. De Sousa, M. Sayers, M. Simard, A. J. Stewart, D. Singh, C. Trettin, J.Wu, X. Zhang, and D. Lagomasino, 2022. A Review of Carbon Monitoring in Wet Carbon Systems. Environmental Research Letters. Focus on Carbon Monitoring Systems Research and Applications Special Issue. Jan 2022, 10.1088/1748-9326.

    *Barber, N., E. Alvarado, L.M. Moskal, V. R. Kane, W. E. Mell, 2021. Estimating Fuel Moisture in Grasslands Using UAV-Mounted Infrared and Visible Light Sensors, Sensors. 21(19). 10.3390/s21196350

    *Shoot, C., H-E., Andersen, L. M. Moskal, C. Babcock, B. Cook, D. Morton, 2021. Classifying Forest Type in the National Forest Inventory Context from a Fusion of Hyperspectral and Lidar Data, Remote Sensing, 13(10). 10.3390/rs13101863

    Barnhart, B., P. Pettus, J. Halama, R. McKane, P. Mayer, A. Brookes, K. Djang, L. M. Moskal, 2021. Modeling the hydrologic effects of watershed-scale green roof implementation in the Pacific Northwest, United States. Journal of Environmental Management. 277(111418). 10.1016/j.jenvman.2020.111418.

    *Prof. Moskal’s student led