Dr. Moskal received her PhD in remote sensing and GIS in 2005 from the University of Kansas where her research focused on spatiotemporal modeling of post-disturbance forest regeneration in the Yellowstone region. She is currently an assistant professor at the University of Washington, College of the Environment, School of Forest Resources, she is affiliated with the Precision Forestry Cooperative and the UW BioEnergy IGERT. Dr. Moskal is the Faculty Advisor for the UW-Geospatial Technology Club & Puget Sound American Society for Photogrammetry & Remote Sensing (ASPRS) Student Chapter, she is the Vice President of the ASPRS Puget Sound Region. Past Region Officer Positions: President (2005-06) ASPRS - Central Region (Vice-President 2004).

Dr. Moskal directs the Remote Sensing and Geospatial Analysis Laboratory (RSGAL). RSGAL research goal is to understand multiscale dynamics of landscape change through the application of remote sensing, GIS and geospatial tools. The research explores the ability and tools necessary to analyze hyper-resolution remotely sensed data by exploiting the spatial, temporal and spectral capabilities of the data. Currently, RSGAL work focuses on the application of lidar to investigate vegetation structure, specifically the utilization of leaf area index in heterogeneous canopies. Other RSGAL research themes involve multi resolution and multi sensor data fusion, spatiotemporal object-based image analysis and geovisualization techniques to communicate research results. Moskal's and RSGAL research has been applied to the following themes: forest inventories, forest health, change analysis, biodiversity, habitat mapping, spatiotemporal wetland assessment, geostatistical analysis of prairie vegetation communities, urban growth and forest fragmentation.

Laurel James - PhD student funded through UW BioEnergy IGERT

Meghan Halabinsky - MS student funded through Moskal's TNC/Wetland Grant and JVA with the USDA Forest Service

Jeff Richardson - PhD student funded through UW BioEnergy IGERT

David Stephens - MS student funded through Dr. Moskal's grant with the USDA Forest Service

Chris Vondrasek - undergraduate intern funded through NSF CAFS

Guang Zheng - PhD student funded through Precision Forestry Cooperative and NSF CAFS

Nick Vaughn - PhD student with Dr. E. Turnblom, he works with Dr. Moskal on species identification from full-waveform LiDAR

Joowon Park - PhD candidate with Dr. J. Fridley, he works with Dr. Moskal on LiDAR based stream shading

Michael Hannam - MS student with Dr. S. Wyllie-Echeverria, he works with Dr. Moskal on the application of terrestrial LiDAR to invasive species mapping

Recently Graduated Students

Todd Erdody (MS 2009) Akira Kato (PhD 2008) Jeff Richardson MS 2008; continuing on with a PhD) Teri Hunsinger-Nelson (MS 2006) Nathan Huggins (MS2006) Jennifer Haack (MS2006) Jon Woosley (MS2006)

...more past students

Moskal, L. M., T. Erdody, A. Kato, J. Richardson, G. Zheng and D. Briggs, 2009. Aerial and Terrestrial LiDAR Applications in Precision Forestry, SilviLaser2009 Conference Proceedings, Collage Station, TX.

Erdody T. and L. M. Moskal, 2009. Fusion of LiDAR and Imagery for Estimating Forest Canopy Fuels, Remote Sensing of Environment (accepted).

Kato, A. Moskal L.M., Schiess, P. Swanson, M., Calhoun, D. and W. Stuetzle, 2009. Capturing Tree Crown Formation through Implicit Surface Reconstruction using Airborne LiDAR Data, Remote Sensing of Environment 113(6); 1148-1162.

Zheng G., Moskal L.M, 2009. Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors. Sensors 9(4):2719-2745.

Richardson, J., Moskal, L. M. and S. Kim, 2009. Modeling Approaches to Estimate Effective Leaf Area Index from Aerial Discrete-Return LiDAR, Agricultural and Forest Meteorology 149, 1152-1160.

Moskal, L.M. & S.E. Franklin, 2004. Airborne multispectral image texture for classification of aspen defoliation, International Journal of Remote Sensing 25:14; 2710-2711.

Franklin, S.E., R.J. Hall, L.M. Moskal, A.J. Maudie & M.B. Lavigne, 2000. Incorporating texture into classification of forest species composition from airborne multispectral images, International Journal of Remote Sensing 21(1): 61-79.

Moskal, L.M. & S.E. Franklin, 2002. Multistory forest stand discrimination with multiscale texture from high spatial detail airborne imagery, Geocarto International 17(4); 53-66.

...more publications