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
- ESRM 304 | Environmental and Resource Assessment Remote Sensing & GIS Module () -
- ESRM 430 | Remote Sensing of the Environment (5) - Winter
- ESRM 433/SEFS 533 | LiDAR Remote Sensing (5) - Spring
- ESRM 459 | Yellowstone Field School () -
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.
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