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Dr. L. Monika Moskal is an Assistant Professor of Remote Sensing at the University of Washington (UW), College of the Environment, School of Environmental and Forest Sciences, where she directs the Remote Sensing and Geospatial Analysis Laboratory(RSGAL) founded by her in 2003. She is one of the core faculty in the UW Precision Forestry Cooperative and is affiliated with the UW BioEnergy IGERT and the UW Interdisciplinary PhD Program in Urban Design and Planning. She is also the Faculty Advisor for the UW-Geospatial Club and a board member of the Puget Sound American Society for Photogrammetry and Remote Sensing (ASPRS). |
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Dr. Moskal's and her RSGAL's research goal is to understand multiscale and multidimensional dynamics of landscape change through the application of remote sensing, GIS and geospatial tools. The lab develops tools necessary to analyze hyper-resolution remotely sensed data by exploiting spatial, temporal and spectral capabilities of the data. RSGAL work focuses on the application of high spatial resolution remote sensing (LiDAR, imagery) 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. Our research has been applied to the following themes: ecosystem services and function, bioenergy/biomass, forest inventories, forest health, change analysis, biodiversity, habitat mapping, spatiotemporal wetland assessment, geostatistical analysis of prairie vegetation communities, urban growth and forest fragmentation. |
| She received her BS in Environmental Studies (1996) from the University of Waterloo (1996), her MS in Remote Sensing and GIS from the University of Calgary (2000) and her PhD in Remote Sensing and GIS from the University of Kansas (2005) where her research focused on spatiotemporal modeling of post-disturbance forest regeneration in the Yellowstone region. |
| CURRENT POST-DOCTORAL FELLOWS |
| • Dr. Jeffery Richardson |website| began his Post-doctoral appointment on Nov. 1, 2011, he was a PhD Student with Dr. Moskal from 2008 and defended his PhD in June 2011. |
| CURRENT PHD STUDENTS IN RSGAL |
| • Meghan Halabisky|website| PhD student, worked on Dr. Moskal's project with The Nature Conservancy on spatiotemporal assessment of wetlands she is now working on Dr. Moskal's grant to 'Integrating LiDAR & Imagery for Mapping Forested Wetlands. |
| • Michael Hannam is a PhD Student with Dr. S. Wyllie-Echeverria, he works with Dr. Moskal on the application of terrestrial LiDAR to invasive species mapping. |
| • Zhongya Zhang |website|is a visiting PhD student from School of Land Science and Technology, China University of Geosciences, Beijing. She is working with Dr. Moskal on hyperspectral and LiDAR data fusion for forest health assessment. |
| CURRENT MS STUDENTS IN RSGAL |
| • Alexandra Kazakova|website|MS Student, worked on Dr. Moskal's funded project: Forest Health Rx: Geospatial Rapid Forest Health Assessment in Heterogeneous Forests, and is currently working on extracting forest inventory parameters terrestrial LiDAR at Panther Creek, OR and EEON. |
| • Justin Kirsch|website|MS student, worked on Dr. Moskal's funded project to map the canopy of Tacoma, WA, he was also the field lead on the Panther Creek, OR Terrestrial LiDAR scanning project. Currently, he is working on 'Integrating LiDAR and Imagery for Mapping Forested Wetlands: an Object Based Approach'. |
| • Akira Nemoto is a visiting MS student form Chiba University, he is learning about the use of terrestrial laser scanning and plans to expend the application of this system to the field of restoration ecology. |
| CURRENT UNDERGRADUATE STUDENTS IN RSGAL |
| • Marci Luibil is a visiting Undergraduate student studying Environmental Earth & Ocean Sciences at the University of Massachusetts, Boston. |
| • Riley Milinovich is working with Dr. Moskal during the summer of 2011 on collecting terrestrial LiDAR data in WA and OR. |
| RECENT RSGAL GRADUATES |
| Diane Styers (Post-Doctoral Fellow 2010-2011) Nick Vaughn (PhD 2011) Guang Zheng (PhD 2011) David Stephens (MS 2011) Meghan Halabisky (MS 2010) Todd Erdody (MS 2009) Chris Vondrasek (BSc 2009) Laurel James (BSc 2008) Akira Kato (PhD 2008) Jeff Richardson (MS 2008) Teri Hunsinger-Nelson (MS 2006) Nathan Huggins (MS 2006) Jennifer Haack (MS 2006) Jon Woosley (MS 2006) ...more past students |
| RSGAL GRADUATE ACHIEVEMENTS |
| Dr. Diane Styers (Post-Doctoral Fellow 2010-2011) is an Assistant Professor of Remote Sensing in the Department of Geosciences and Natural Resources at Western Carolina University, located in Cullowhee, NC. Dr. Guang Zheng (PhD 2011) is a new faculty in Remote Sensing at Nanjing University, China and Dr. Akira Kato (PhD 2011) is an Assistant Professor specializing in Remote Sensing at Chiba University, Japan. |
| TOTAL GRADUATED Post-Docs(2) PhD(4) MS(8) Undergrad(13) |
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| SELECTED REFEREED PUBLICATIONS |
 Zheng, G. and Moskal, L. M., accepted May 2012. Spatial variability of terrestrial laser scanning based leaf area index, International Journal of Applied Earth Observation and Geoinformation. Zheng, G. and Moskal, L. M., accepted April 2012. Retrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning , IEEE Transactions on Geoscience and Remote Sensing. Zheng, G. and Moskal, L. M., accepted Feb. 2012. Computational Geometry Based Retrieval of Effective Leaf Area Index Using Terrestrial Laser Scanning, IEEE Transactions on Geoscience and Remote Sensing. Zheng, G. and Moskal, L. M., 2012. Leaf Orientation Retrieval from Terrestrial Laser Scanning Data, IEEE Transactions on Geoscience and Remote Sensing. Vaughn, N. and L. M. Moskal, 2012. Tree Species Detection Accuracy with Airborne Waveform Lidar, Special Issue on Laser Scanning in Forests, Remote Sensing, 4(2), 377-403. Moskal, L. M. and Zheng, Guang. 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, 2011. Strengths and Limitations of Assessing Forest Density and Spatial Configuration with Aerial LiDAR, Remote Sensing of Environment, 114(4), 725-737. Halabisky, M.,L. M. Moskal and S. A. Hall, 2011. Object-Based Classification of Semi-Arid Wetlands, Journal of Applied Remote Sensing, 5(05351); p.13. Vaughn N., L. M. Moskal and E. Turnblom, 2011. Fourier transformation of waveform LiDAR for species recognition, Remote Sensing Letters, 2(4); 347-356. Erdody T. and L. M. Moskal, 2010. Fusion of LiDAR and Imagery for Estimating Forest Canopy Fuels, Remote Sensing of Environment, 114(4); 725-737. 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. and L.M. Moskal, 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. Relationship between airborne multispectral image texture and aspen defoliation, International Journal of Remote Sensing, 25:14; 2710-2711. Moskal, L.M., M.D. Dunbar, M.E. Jakubauskas, 2004. Visualizing the forest: a forest inventory characterization in the Yellowstone National Park based on geostatistical models, in A Message From the Tatras: Geographical Information Systems & Remote Sensing in Mountain Environmental Research, Widacki,. W., Bytnerowicz, A. & Riebau, A. (eds). Institute of Geography & Spatial Management of the Jagiellonian University in Krakow & the USDA Forest Service: 219-232. 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.
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