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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 hyper-resolution remote sensing and GIS. The lab develops methods 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 hyperspatial 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 (OBIA) and geovisualization techniques to communicate research results. Our research has been applied to the following themes: ecosystem services and function, bioenergy/biomass, forest health and inventories, change analysis, biodiversity, habitat mapping, spatiotemporal wetland assessments, geostatistical analysis of prairie vegetation communities, urban growth and forest fragmentation. |
| She received her BS in Environmental Studies 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 & VISITING FACULTY |
| 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. |
Dr. Luis Angel Ruiz Fernandez is wisiting the RSGAL lab from June to Sept. 2012 from the Universidad Politécnica de Valencia, Spain. |
| Dr. Lopamudra Dasgupta is a volunteer in the lab. |
| CURRENT PHD STUDENTS IN RSGAL |
| • Meghan Halabisky|website| PhD student, working on Dr. Moskal's grants related to spatiotemporal wetland assessments as well as a wetland project collaborations between RSGAL and the UW Climate Impacts Group. |
| • 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; till summer 2013. |
| 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 extraction of forest parameters from aerial hyperspectral imagery, and aerial and terrestrial LiDAR. |
| • Justin Kirsch|website|MS student, Dr. Moskal's projects worked oninclude Tacoma canopy mapping and TLS collection in Panther Creek, OR and examining urban forest conditions, stewardship and environmental equity. He is currently involved on work exploring relationships between terrestrial LiDAR and ground penetrating radar. |
| • Chris Vondrasek a RSGAL undergraduate research assistant, returns to RSGAL for an MS in remote sensing of wetlands. |
| CURRENT UNDERGRADUATE STUDENTS IN RSGAL |
| • Medford, OR Field Crew - there are 5 RSGAL affiliated undergraduate students working for Dr. Moskal full time during the summer/fall of 2012 collecting LAI and habitat data in the Rouge River area near Medford, OR. |
| • Riley Milinovich is working with Dr. Moskal since the summer of 2011 on collecting terrestrial LiDAR data in WA and OR, he is working on developing protocols for this type of data collection in 2012. |
| RECENT RSGAL GRADUATES |
| Diane Styers (Postdoc 2010-2011) Nick Vaughn (Postdoc 2012 & 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. Nick Vaugn (Postdoc 2012, PhD 2011) is a Smithsonian Postdoc with the Forest Service at University of Hawaii at Hilo. Dr. Diane Styers (Postdoc 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(3) PhD(4) MS(8) Undergrad(13) |
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| SELECTED REFEREED PUBLICATIONS |
 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. 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); 12p. 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), 11p. Vaughn, N., L. M. Moskal and E.C. Turnblom, 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 G. Zheng, 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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