FACULTY

L. Monika Moskal

L. Monika Moskal

Associate Professor / Associate Director / Director, Precision Forestry Cooperative
Remote sensing; Biospatial analysis
http://faculty.washington.edu/lmmoskal/

Office: Bloedel 382
Phone: 206-225-1510 
Email: lmmoskal@uw.edu

Graduate Interest Group(s): SUSTAINABLE RESOURCE MANAGEMENT; WILDLIFE SCIENCE; FOREST ECOLOGY

B.E.S., Environmental Studies, University of Waterloo, 1996
M.Sc., Geography, University of Calgary, 2000
Ph.D., Geography, University of Kansas, 2005


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.

For a comprehensive list of publications, please see my facutly website.

Courses Taught:Quarter offered:
ESRM 430 Hyperspatial Remote Sensing in Natural Resource Management (5)Winter
ESRM 433 Airborne Lidar for Remote Sensing of Vegetation and Geomorphology (5)Spring
SEFS 533 Airborne Lidar for Remote Sensing of Vegetation and Geomorphology (5)Spring
Current Sponsored Research:
Analyzing Environmental Changes in Interior Alaska (1982-2014)
Bureau of Land Management Precision Forestry Cooperative
Determining if Managed Wildfires and Prescribed Fires Conserve Critical Habitat Structure for Pacific Fishers in the Southern Sierra Nevada
PFC Carbon Monitoring Systems RJVA
PhoDar at Panther Creek Research Plots
Using Airborne LiDAR to Assess, Compare, and Contrast Forested Landscapes
Using Airborne LiDAR to Detect and Characterize Individual Trees
Recent Publications:
Guang Zheng, Lixia Ma, Jan U. H. Eitel, , Wei He, Troy S. Magney, L. Monika Moskal, Mingshi Li. 2017. Retrieving directional gap fraction, extinction coefficient, and effective leaf area index by incorporating scan angle information from discrete aerial lidar data. Transactions on Geoscience and Remote Sensing 55(1): 577-590.
Johnston, A, and L. M. Moskal. 2017. High-Resolution Habitat Modeling with Airborne LiDAR for Red Tree Voles. The Journal of Wildlife Management 81(1): 58-72 doi: 10.1002/jwmg.21173
Halabisky, M., L. M. Moskal, A. Gillespie, M. Hannam. 2016. Reconstructing wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite imagery (1984 - 2011). Remote Sensing of Environment 177:171-183.
Lixia Ma,Guang Zheng, Jan H.U. Eitel, Troy S. Magney, L. M. Moskal. 2016. Retrieving forest canopy extinction coefficient from three dimensional point cloud data. Agricultural and Forest Meteorology 228-229:217-228.
Richardson J. and L. M. Moskal. 2016. Urban Food Crop Production Capacity and Competition with the Urban Forest. Urban Forestry and Urban Greening 15: 58-64.
Richardson, J. & L. M. Moskal. 2016. An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris. Remote Sensing 8(9):778-791.
Zhang, Z., A. Kazakhova, D. Styers and L. M. Moskal. 2016. Object-Based Tree Species Classification in Urban Ecosystems using LiDAR and Hyperspectral Data. Forests 7(6):122-138.
Zheng, G., M. Lixia Ma, U.H. J. U.H. Eitel, T. S. Magney, and L. M. Moskal. 2016. Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies. IEEE Transactions on Geoscience and Remote Sensing 54(2):679-696.
Hannam, M, L.M. Moskal. 2015. Terrestrial Laser Scanning Reveals Seagrass Microhabitat Structure on a Tideflat. Remote Sensing 7(3): 3037-3055.
Zheng, G. Ma, L.X., He, W., Eitel, J.U.H., Moskal, L.M., Zhang, Z.Y. 2015. Assessing the contribution of woody materials to forest angular gap fraction and effective leaf area index using terrestrial laser scanning (TLS) data. IEEE Transactions on Geoscience and Remote Sensing 54(3):1474-1484.
Hermosilla, T., Coops, N., Ruiz Fernandes, L.A. and L. M. Moskal. 2014. Deriving pseudo-vertical waveforms from small-footprint full-waveform LiDAR data. Remote Sensing Letters 5(4): 332-341.
Jeffery Richardson and L. Monika Moskal. 2014. Efficacy of Green LiDAR for Depth Measurements in Heavily Forested Streams. Remote Sensing Letters 5(4): 352-357
Richardson, J.J. Bakker, L.M. Moskal. 2014. Terrestrial Laser Scanning for Vegetation Sampling. Sensors 5(4): 352-357.
Halabisky, M., M. Hannam, A. L. Long, C. Vondrasek and L. M. Moskal, 2013. The Sharper Image: Hyperspatial Remote Sensing in Wetland Science. Wetland Science and Practice, July 2013, 1-31.
Hermosilla, T., Ruiz, L., Kazakova, A. Coops, N. and L. M. Moskal, 2013. Estimation of forest structure and canopy fuel parameters from small-footprint full-waveform LiDAR data. International Journal of Wildland Fire 22:224-233.
Moskal, L.M. and M. Jakubauskas, 2013. Monitoring post disturbance forest regeneration with hierarchical object-based image analysis, in Forests, Special Issue: LiDAR and Other Remote Sensing Applications in Mapping and Monitoring of Forests Structure and Biomass; 4(4); 808-829
Richardson, J. and L. M. Moskal, 2013. Uncertainty in Urban Forest Canopy Assessment: Lessons from Seattle, WA USA, Urban Forestry and Urban Greening 13(1):152-157.
Zheng, G., L. M. Moskal and S-H. Kim, 2013. Retrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning, IEEE Transactions on Geoscience and Remote Sensing, 51(2): 777-786.
Gmur, S., D. Vogt, D. Zabowski, and L. M. Moskal, 2012. Hyperspectral Characterization of Soil Series, Nitrogen and Carbon, Sensor, 12(8):10639-10658.
Vaughn N., L. M. Moskal, and E. Turnblom. 2012. Tree species detection accuracies using discrete point LiDAR and airborne waveform LiDAR. Remote Sensing Special Issue on Laser Scanning in Forests 4(2):377-403.
Zheng, G. and L. M. Moskal, 2012. Computational Geometry-Based Retrieval of Effective Leaf Area Index Using Terrestrial Laser Scanning, IEEE Transactions on Geosciences and Remote Sensing, 50(10) 3958-3969.
Zheng, G. and L. M. Moskal, 2012. Spatial variability of terrestrial laser scanning based leaf area index, International Journal of Applied Earth Observation and Geoinformation, 19, 226–237.
Zheng, G. and L.M. Moskal, 2012. Leaf Orientation Retrieval from Terrestrial Laser Scanning Data, IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3970-3979.
Halabisky, M., L.M. Moskal and S.A. Hall. 2011. Object-based classification of semi-arid wetlands. Journal of Applied Remote Sensing. Volume 5(05351): 13.
Moskal, L.M., A. Kato, G. Zheng, N. Vaughn and D. Briggs. 2012. Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest. Remote Sensing 4 (1): 1-20.
Moskal, L.M., D. M. Styers, and M. Halabisky, 2011. Monitoring urban forest canopies using object-based image analysis and public domain remotely sensed data. Remote Sensing Special Issue on Urban Remote Sensing 3 (10): 2243-2262.
Richardson, J. and L.M. Moskal. Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR. Remote Sensing of Environment 115(10): 2640-2651.
Vaughn N., L. M. Moskal and E. Turnblom. 2011. Fourier transformation of waveform LiDAR for species recognition. Remote Sensing Letters 2(4):347-356.
SEFS Committee Membership:Chair?
Computing and IT Committee
Elected Faculty PMT Committee
External Relations and Communications Committee
Planning Committee
Scholarship and Financial Aid Committee
Curriculum Committee