| RSGAL FACTSHEETS |
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Halabisky, M., and L.M. Moskal., 2012. Using LiDAR and object based image analysis to map wetlands in Mt. Rainier National Park . Factsheet # 23. |
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Kirsch JL, Moskal LM, Fischer DG. 2012. Relationships between fine root productivity and variation of canopy height in a temperate forest. Factsheet #22. |
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Kazakova A.N., L.M. Moskal, 2012. Quantifying vertical and horizontal stand structure using Terrestrial LiDAR. Factsheet # 21. |
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Moskal, L. M. and J. Kirsch, 2012. Calibrating Estimates of Above- and Below- Ground Forests Biomass Using Remotely Sensed Metrics. Factsheet # 20. |
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Kazakova, A.N., L.M. Moskal, and D.M. Styers. 2011. Hyperspectral Remote Sensing of Urban Tress. Factsheet # 19. |
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Moskal, L. M., D. M. Styers, J. Richardson and M. Halabisky, 2011. Seattle Hyperspatial LULC from LiDAR & NIR Imagery Using OBIA. Factsheet # 18. |
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Kazakova A. N., L.M. Moskal, D. M. Styers and D.G. Fischer, 2011. Estimating Tree Species Diversity Using Aerial LiDAR and Multispectral Imagery. Factsheet # 17. |
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Kirsch, J.L., L.M. Moskal, D. M. Styers and D.G. Fischer , 2011. Relationships Between Above- and Belowground Plant Carbon Using Field Metrics and LiDAR. Factsheet #16. |
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Hannam, M. and L.M. Moskal, 2011. Coastal Wetlands: Monitoring Estuarine Topographic Change with Terrestrial Laser Scanning. Factsheet # 15. |
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Vaughn, N. and L.M. Moskal, 2011. Identification of Individual Tree Species Using Full Waveform LiDAR. Factsheet 14. |
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Stephens, D.R. and L.M. Moskal, 2010. Forestry: Deriving Site Growth Indices From Multi-Temporal Small-Footprint Aerial LiDAR Data. Factsheet # 13. |
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Moskal., L. M. and D. M. Styers , 2010. Land use/land cover (LULC) from high-resolution near infrared aerial imagery: costs and applications. Factsheet # 12. |
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Park, J., F. Krogstad, J. Fridley and L. M. Moskal, 2009. Small Stream Mapping Method: Local Difference Algorithm (LDA) Using LiDAR and LandSAT. Factsheet # 11. |
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Halabisky, M. , T. Wheeler and L.M. Moskal., 2009. Mobile GIS Data Capture. Factsheet #10. |
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Vondrasek, C. and L.M. Moskal., 2009. Decadal Analysis of Change in Wetlands in Arid Regions. Factsheet # 9. |
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Hannam, M., L.M. Moskal and S. Wyllie-Echeverria, 2009. Predicting an Invasive Species’ Distribution with LiDAR-derived Topography. Factsheet # 8. |
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Halabisky, M.A. , and L.M. Moskal, 2009. Monitoring the Spatiotemporal Heterogeneity of Arid Wetlands Factsheet # 7. |
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James, L., L. M. Moskal, 2008. Spatiotemporal Analysis of Mountain Goat Habitat. Factsheet # 6. |
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Richardson, J. J, L.M. Moskal, S. Kim, 2008. Estimating Urban Forest Leaf Area Index (LAI) from aerial LiDAR. Factsheet # 5. |
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Erdody, T.L., and L. M. Moskal, 2008. LiDAR derived canopy fuel metrics for wildfire modeling. Factsheet # 4. |
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Kato, A., L. M. Moskal., P. Schiess, M. Swanson, D. Calhoun and W. Stuetzel, 2008. LiDAR based tree crown surface reconstruction. Factsheet # 3. |
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Zheng G. and L. M. Moskal, 2008. Leaf Area Index (LAI) from Terrestrial LiDAR. Factsheet # 2. |
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Moskal, L. M. and G. Zheng, 2008. Forest inventory and stem characterization from terrestrial LiDAR. Factsheet # 1. |
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- PUBLICATIONS
- THESES
- CONFERENCE PAPAERS
- CONFERENCE PRESENTATIONS
- CONFERENCE POSTERS
- OTHER
PEER-REVIEWED JOURNAL 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) 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.
- 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 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 Ind ex (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.
- Dunbar, M. D., L. M. Moskal, & M. E. Jakubauskas, 2004. 3D Visualization for the analysis of forest cover change, Geocarto International, Special Issue on 100th Anniversary of the Association of American Geographers - Remote Sensing Specialty Group, 19(2); 103-112.
- 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.
- Franklin, S.E., L.M. Moskal, M.B. Lavigne, M.A. Wulder & T.M. McCaffrey, 2001. Interpretation of partial harvest forest stand conditions using the Enhanced Wetness Difference Image (EWDI), Canadian Journal of Remote Sensing, 27(2): 118-128.
- Presutti, M., S.E. Franklin, L.M. Moskal & E.E. Dickson, 2001. Supervised classification of Landsat TM, RadarSAT W2 Data, & texture derivatives for agricultural crop mapping in Buenos Aires Province, Argentina, Canadian Journal of Remote Sensing, 27(6): 679-685.
- Franklin, S.E., E.E. Dickson, D.M. Farr, M.J. Hansen and L.M. Moskal, 2000. Quantification of landscape change from satellite remote sensing, Forestry Chronicle, 76(6): 877-886.
- Franklin, S.E., R.J. Hall, L.M. Moskal, A.J. Maudie and 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
- Franklin, S.E., L.M. Moskal, M.B. Lavigne and K. Pugh, 2000. Interpretation and classification of partially harvested forest stands using multitemporal Landsat TM digital data, Canadian Journal of Remote Sensing, 26(3): 318-333.
- Franklin, S.E., McCaffrey, T.M., Lavigne, M.B., Wulder, M.A., and L. M. Moskal, 2000. An ARC/INFO Macro Language (AML) polygon update program (PUP) integrating forest inventory and remotely-sensed data. Canadian Journal of Remote Sensing, 26(6): 566-575.
PEER-REVIWED BOOK CHAPTERS
- 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.
TRADE MAGAZINES
- Dunbar, M., L.M. Moskal & M.E. Jakubauskas, 2003. 3D Visualization of Forest Cover Change: Human Impacts in Northeastern Kansas & Natural Disturbances in Yellowstone National Park. Earth Observation Magazines, 12 (7); 6-12.
RSGAL STUDENT THESES (MS) AND DISSERTATIONS (PhD)
click on the PDF icon to download, or email Dr. Moskal if you would like a copy
- Zheng, G. (2011) Retrieval of Leaf Area Index and Tree Crown Parameters Using Terrestrial Laser Scanning, PhD Dissertation, University of Washington
- Richardson, J. (2011) Quantitative assessment of problematic forest structure in Eastern Washington and Oregon. PhD Dissertation, University of Washington
- Vaughn (2011). Decomposing Waveform Lidar for Individual Tree Species Recognition. PhD Dissertation, University of Washington
- Stephens (2011). Forest Inventory Derived From Small-Footprint Aerial LiDAR, Image Segmentation and Multiple Regressions. MS Thesis, University of Washington
- Halabisky, M. (2010) Towards a Semi-automated Remote Sensing Based Wetland Inventory. MS Thesis, University of Washington
- Erdody, T. (2009) Fusion of LiDAR and Imagery for Estimating Forest Canopy Fuels in Eastern Washington. MS Thesis, University of Washington
- Kato, A. (2008) Capturing tree crown attributes from high resolution remotely sensed data. PhD Dissertation, University of Washington
- Richardson, J. (MS 2008) Estimating Leaf Area Index from Multiple Return, Small-footprint Aerial LiDAR at the Washington Park Arboretum. MS Thesis, University of Washington
- Sullivan A. (2008) LIDAR Based Stand Delineation in Natural Forest. MS Thesis, University of Washington
- Kim, S. (2007) Individual tree species identification using LiDAR- derived crown structures and intensity data. PhD Dissertation, University of Washington
- Hunsinger, T. (MS 2006). Spatiotemporal patterns of transitional landscapes in the Southwest Ozarks. MS Thesis, Missouri State University
- Huggins, N. (MS 2006). Remote Sensing Classification Methods for Monitoring Eastern Red Cedar. MS Thesis, Missouri State University
- Haack, J. (MS 2006). Geostatistical analysis of plant communities at Tallgrass Prairie National Preserve, KS. MS Thesis, Missouri State University
- Woosley, R. J. (MS 2006) Classification and prediction of impervious surfaces in the Brush Creek watershed, MO. MS Thesis, Missouri State University
PEER-REVIEWED CONFERENCE PAPERS
- Kato, A., T. Kobayashi, L.M. Moskal, P. Shiess and D. Calhoun, 2010. Certification of carbon credit using airborne lidar SilviLaser 2010, Freiburg, Germany.
- Vaugh, N. and L. M. Moskal , 2010 Fourier transform of waveform Lidar for species recognition - data requirements SilviLaset 2010, Freiburg, Germany.
- Moskal, L.M. 2010 LiDAR-based metrics to assess riparian forest function and ecosystem services SilviLaser 2010, Freiburg, Germany.
- Kato, A., Moskal, L.M., Schiess, P., Swanson, M.E., Calhoun D, 2010. True Orthophoto Creation Through Fusion of LiDAR Derived Digital Surface Model and Aerial Photos. Proceedings of ISPRS Commission VII Symposium 2010 Vienna, Austria.
- 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.L. and L .M. Moskal, 2009. Fusion of LiDAR and Imagery for Estimating Canopy Fuel Metrics in Eastern Washington Forests, American Society for Photogrammetry & Remote Sensing 2009 Annual Conference, Baltimore, MD, March 2009.
- Moskal, L. M., Todd Erdody, Akira Kato, Jeffery Richardson, Guang Zheng and David Briggs, 2009. Aerial and Terrestrial LiDAR Applications in Precision Forestry, The First International Conference on LiDAR Technology and Remote Sensing Applications, Harbin, China.
CONFERENCE PAPERS
- Moskal, L. M. & A. Kato, 2008. LiDAR tree Crown Segmentation. Submitted & accepted to the Proceedings of the 2008 annual American Society for Photogrammetry & Remote Sensing meeting in Portland OR, April-May 2008.
- Richardson, J.J., Kim, S., & Moskal, L.M. 2008. Derivation of leaf area index from multiple return, small-footprint, aerial LiDAR in a heterogeneous mixed forest. ASPRS 2008 Annual Conference, Portland, OR, April 2008.
- Zheng, G. & L. M. Moskal, 2008. Retrieving Leaf Area Index & Net Primary Productivity based on ground-based LiDAR & ASTER images. Submitted & accepted to the Proceedings of the 2008 annual International Society of Photogrammetry & Remote Sensing congress in Beijing, China, July 2008.
- Kato, A., Moskal, L.M. & Calhoun, D., (2008) “Reconstruction of 3D tree crown structure from LiDAR with color of aerial photos” Proceedings of International LiDAR Mapping Forum 08, Denver, CO, Feb 2008
- Kato, A., Moskal, L.M., Swanson, M.E., Schiess, P., & Calhoun, D., (2008) “New High-Resolution Field Surveying Methods for Validation of Crown Attributes from 3D Scanning Laser Data.”, Proceedings of ASPRS 2008 Annual Conference, Portland, OR, April 2008
- Kato, A., Schiess, P., Sullivan, A., & Moskal, L.M. (2008) “Mapping tree location & crown attributes using remotely sensed data.” Proceedings of 1st UIFRO All-D3-Coference, Sapporo, Japan June 2008
- Kato, A., L. M. Moskal & D. Calhoun. Spatial Resolution Effects of LiDAR Based Tree Parameters for Forest Fire Simulation. ForestSAT’07, Montpellier, France, November 2007.
- Kato, A. & L. M. Moskal. Wrapping surface reconstruction of LiDAR Points to identify tree attributes. CRSS & ASPRS Specialty Remote Sensing Conference, Ottawa, Canada, October 2007.
- Rowell, G.A., M.D. DeBacker, L. M. Moskal & J. L. Haack. Mapping Changes in Plant Community Biodiversity in Midwestern National Parks. Managing Park Resources for Future Generations, ESRI International Users Conference, San Diego, CA, August 2006.
- Moskal, L. M. , N. Huggins & J. Haack, Multiscale mapping of Juniperus virginiana L. encroachment in the Ozarks. 11 the Biennial USDA Forest Service Remote Sensing Applications Conference, Salt Lake City , UT , April 2006.
- Moskal, L.M., Temporal signatures & harmonic analysis of natural & anthropogenic disturbances of forested landscapes: a case study in the Yellowstone region . Proceedings MultiTemp 2005, 3 rd International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Biloxi, MS, May 2005.
- Moskal, L.M ., G. A. Rowell & J. L. Haack. Tallgrass prairie geostatistical analysis of vegetation communities using IKONOS imagery . Proceedings American Society for Photogrammetry & Remote Sensing Annual Conference, Baltimore , MD March 2005.
- Wood, C., N. Huggins, T. Hunsinger, H. Neil & L. M. Moskal ., Visualizing urban impacts on the water quality of the James River Basin, MO. Proceedings American Society for Photogrammetry & Remote Sensing Annual Conference, Baltimore , MD March 2005.
- Moskal, L.M . Historical landscape visualization of the Wilson 's Creek National Battlefield based on object oriented tree detection method from IKONOS imagery . Proceedings American Society for Photogrammetry & Remote Sensing Annual Conference, Denver, CO, May 2004.
- Moskal, L.M., M.E. Jakubauskas, K. P. Price and E. A. Martinko. Remote sensing-based geostatistical estimation of leaf area index (LAI) in the Yellowstone coniferous forest. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference, Anchorage, AK, May 2003.
- Dunbar, M.D., L.M. Moskal, M.E. Jakubauskas, J.E. Dobson, E.A. Martinko. Computer visualization of forest cover change: Human impacts in northeastern Kansas and natural disturbance in Yellowstone National Park. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference, Anchorage, AK, May 2003.
- Moskal, L.M., M.D. Dunbar, M.E. Jakubauskas, J.E. Dobson, K.P. Price and E.A. Martinko, 2002. Visualizing the forest: a forest inventory characterization in the Yellowstone National Park based on geostatistical models. EnviroMount Conference on Geographic Information Systems and Remote Sensing in Mountain Environment Research, Zakopane, Poland, September 2002.
- Moskal, L.M. and S.E. Franklin, 2002. Texture changes in high-resolution casi imagery. Proceedings 5th International Airborne Remote Sensing Conference and Exhibition, Miami, FL, May 2002.
- Moskal, L.M., 2002. Investigating texture inversion in high-resolution multispectral imagery; implications for forest classification. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference and FIG XXII Congress, Washington, DC, April 2002.
- Moskal, L.M., M.E. Jakubauskas, K.P. Price and E.A. Martinko, 2002. High-resolution digital photography for forest characterization in the Central Plateau of the Yellowstone National Park. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference and FIG XXII Congress, Washington, DC, April 2002.
- *Moskal, L.M., K.P. Price, M. E. Jakubauskas and E.A. Martinko, 2001. Comparison of hyperspectral AVIRIS and Landsat TM imagery for estimating burn site pine seedling regeneration densities in the Central Plateau of Yellowstone National Park. Proceedings of the 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper number E-8.
- *Moskal, L.M. and M. E. Jakubauskas, 2001. Discriminating forest stand age classes using 2nd order image texture in the Central Plateau of Yellowstone National Park. Proceedings of the 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper number 4-3.
- Moskal, L.M., M.E. Houts, M.E. Jakubauskas, K. Price and E. Martinko. 2001. Multispectral high resolution digital photography for forest characterization in the Central Plateau of the Yellowstone National Park. The 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper E-22.
- Moskal, L.M. and S.E. Franklin, 2001. Classifying multilayer forest structure and composition using high resolution, compact airborne spectrographic imager and image texture. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference, St. Louis, MO, April 2001.
- Moskal, L.M. and S.E. Franklin, 2000. Incorporating texture in multistory canopy forest stand detection on high resolution multispectral and multiresolution imagery. Proceedings 22nd Canadian Symposium on Remote Sensing, Victoria, BC, August 2000.
- Presutti, M.E., L.M. Moskal, E.E. Dickson, A. M. Lombardo and S.E. Franklin, 2000. Forestry and Agricultural Land Cover Classification of RadarSAT and Landsat TM Imagery in SE Buenos Aires Province, Argentina. Proceedings 22nd Canadian Symposium on Remote Sensing, Victoria, BC, August 2000.
- Possada, E., L.M. Moskal, E.E. Dickson and S.E. Franklin, 2000. Classification of RadarSAT and Landsat TM imagery in the savanna region of Columbia. Proceedings 22nd Canadian Symposium on Remote Sensing, Victoria, BC, August 2000.
- Gerylo, G.R., R.J. Hall, S.E. Franklin and L.M. Moskal, 2000. Estimation of forest inventory parameters from high spatial resolution airborne data. Proceedings 2nd International Conference on Geospatial Information in Agriculture and Forestry, Lake Buena Vista, FL, March 2000.
- Moskal, L.M. and S.E. Franklin, 1999. Multistory canopy forest stand classification using texture derived from high spatial detail multispectral and multiresolution imagery. Proceedings 21st Canadian Symposium on Remote Sensing, Ottawa, ON, July 1999.
- Gerylo, G.R., R.J. Hall, S.E. Franklin and L.M. Moskal, 1999. Estimating stand structure and volume from high spatial resolution casi data. Proceedings Canadian Association of Geographers Annual Meeting, Lethbridge, AB, June 1999.
- Moskal, L.M., S. E. Franklin and M. B. Lavigne, 1999. Partial harvest change detection in the Fundy Model Forest, New Brunswick, Canada. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference, Portland, OR, May 1999.
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| abstracts published |
- Halabisky, M. and L.M. Moskal, 2010. High Resolution Remote Sensing of Arid Wetlands, SWS NW Wetland Conference, Bellingham, WA, April 2010.
- Moskal, L.M., 2009. Active Remote Sensing LiDAR - Light Detection and Ranging. LTER All Scientists Meeting Working Group Session 2: Applications of LiDAR to Ecological Research YMCA Estes Park, CO.
- Moskal, L.M., 2009. Canopy Characterization with Terrestrial LiDAR. LTER All Scientists Meeting Working Group Session 2: Applications of LiDAR to Ecological Research YMCA Estes Park, CO.
- Moskal, L. M., T. Erdody, A. Kato, J. Richardson, G. Zheng and D. Briggs, 2009. LiDAR Applications in Precision Forestry, Puget Sound and Columbia Regions Fall Info Exchange, Vancouver, WA.
- Halabisky, M. and L. M. Moskal, 2009. Hierarchical object based method for monitoring wetlands spatiotemporal heterogeneity, ASPRS Puget Sound and Columbia Regions Fall Info Exchange, Vancouver, WA.
- Zheng, G. and L. M. Moskal, 2009. Determining LAI from terrestrial LiDAR. Puget Sound and Columbia Regions Fall Info Exchange, Vancouver, WA.
- Moskal, L.M. and M. Halabisky, 2009. Remote Sensing and GIS for Monitoring Spatiotemporal Heterogeneity of Arid Wetlands, WAURISA Conference, Seattle, WA.
- Zheng, G. and L. M. Moskal, 2009. Terrestrial LiDAR scanning for leaf area index. ASPRS Puget Sound Region Spring Info Exchange, Seattle, WA, February 2009.
- Erdody, T.L. and L. M. Moskal, 2009. Fusion of LiDAR and Imagery for Estimating Canopy Fuel Metrics in Eastern Washington Forests, ASPRS Puget Sound Region Spring Info Exchange, Seattle, WA, February 2009.
- Richardson, J. J, L.M. Moskal, and S. Kim. 2009. Urban Forest LAI from Aerial LiDAR, ASPRS Puget Sound Region Spring Info Exchange, Seattle, WA.
- Moskal, L.M. and M. Halabisky, 2009. Monitoring Spatiotemporal Heterogeneity of Arid Wetlands, ASPRS Puget Sound Region Spring Info Exchange, Seattle, WA.
- Moskal, L.M., S. VanRhein & R.J. Woosley, Community cost assessment of storm water management: a geospatial perspective .Association of American Geographers Annual Conference, Chicago , IL , March 2006.
- Moskal, L. M., H. D. Neill, J. M. Carey & M. D. Dunbar, Ozarks iCAVE: an Interactive Cave Animation, Visualization & Exploration. Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2006.
- Haack, J.L., N. Huggins & L. M. Moskal , Multiscale mapping of Juniperus virginiana L. encroachment in the Ozarks . Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2006.
- Hunsinger, T. & L. M. Moskal , Spatiotemporal Patterns of Transitional Landscapes in the Missouri Ozarks . Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2006.
- Moskal, L.M., G. A. Rowell, J. L. Haack & M. DeBacker, Geostatistical analysis of vegetation communities at Tallgrass Prairie National Preserve , Symposium on Changing Natural Landscapes: Ecological & Human Dimensions, Lincoln, Nebraska, September 21-24, 2005.
- Moskal, L.M. Scaling up: Moderate resolution post-fire seedling regeneration geostatistical model calibration using high resolution feature extraction methods. IX INTECOL International Congress of Ecology & 90 th Annual Meeting of the Ecological Society of America , Montreal , QC , Canada , August 2005.
- Wurglitsh, D.J., Armstrong, S. &, L.M. Moskal , Remote Sensing & Geographic Information Systems Technical Workshop: A Hands-On Approach to the Analysis & Potential Discovery of Impact Structures , The Sedimentary Record of Meteorite Impacts, Springfield, MO, May 21-22, 2005.
- Moskal, L.M. Hypertemporal response of natural & man made forest disturbances. Association of American Geographers Annual Conference, Denver, CO, April 2005.
- Neill, H., & Moskal, L.M. Forest Cover Change in the Missouri James River Watershed. Association of American Geographers Annual Conference, Denver, CO, April 2005.
- Moskal, L.M. Utilizing geospatial science, technologies & geovisualization in resource management decision support . Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2005.
- Huggins, N., Neill, H., & L.M. Moskal . Visualizing the Forest Change in the James River Basin . Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2005.
- Hunsinger, T. & L.M. Moskal . Visualizing 30 years of Spatial & Temporal Landcover Changes in the James River Basin . Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2005.
- Wood, C., Neill, H., & L.M. Moskal . Effect on Water Quality of Urbanization within the James River Basin . Missouri Natural Resources Conference, Lake of the Ozarks , MO , February 2005.
- Moskal, L.M. Oak Savanna Habitat Remnants Mapping using Feature Extraction form IKONOS Imagery . American Society for Photogrammetry & Remote Sensing Fall Conference. Images to decisions: remote sensing foundations for GIS applications, Kansas City , KS , September 2004.
- Wood, C., N. Huggins, T. Hunsinger, H. Neill & L.M. Moskal . Public education & resource decision making through geovisualizations of forest cover change in the James River basin . American Society for Photogrammetry & Remote Sensing Fall Conference. Images to decisions: remote sensing foundations for GIS applications, Kansas City , KS , September 2004.
- Moskal, L.M. & L. Michelle Bowe, Oak savanna habitat remnants mapping using feature extraction from IKONOS imagery . Association of American Geographers Annual Conference, Philadelphia , PA March 2004.
- Huggins, N., L.M. Moskal, C. Wood, H. Neill, Implementing Geo-visualizations of Forest Cover Change in the James River Basin of Missouri for Public Education & Resource Decision Making. Association of American Geographers Annual Conference, Philadelphia, PA March 2004.
- Moskal, L.M. and M.E. Jakubauskas, Harmonic analysis of natural and manmade disturbances in the Yellowstone region. The 18th Annual Symposium International Association for Landscape Ecology-US Chapter Banff Centre, Banff, AB, Canada,April 2-6, 2003.
- Moskal, L.M., Visualizing coniferous forest biophysical variables. Association of American Geographers Annual Conference, New Orleans, LA, February 2003.
- Moskal, L.M., M.D. Dunbar and M.E. Jakubauskas. Application of geostatistical models in the visualization of coniferous forest structure. The 8th Yellowstone Interagency Science Conference, Mammoth, Wyoming, September, 2002.
- Moskal, L.M.Relationships between leaf area index of defoliated aspen stands and high-resolution multispectral imagery, implications to image classification. Association of American Geographers Annual Conference, Los Angeles, CA, March 2002
- Jakubauskas, M.E., L.M. Moskal, H. McCully, E.A. Martinko and K.P. Price. GeoFusion: Geostatistical fusion of forest inventory and remotely sensed data. Proceedings 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001.
- Jakubauskas, M.E., E.A. Martinko, K.P. Price and L.M. Moskal. Regional forest inventory by geostatistical integration of satellite imagery and field sampled data. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference, St. Louis, MO, April 2001.
- Moskal, L.M. and M.E. Jakubauskas. Discriminating forest stand age classes using 2nd order image texture in the Central Plateau of Yellowstone National Park. Kansas Academy of Science Annual Meeting, Lawrence, KS, April 2001.
- Moskal, L.M. and M.E. Jakubauskas. Applying image texture to geostatistically estimate forest inventory attributes in the Greater Yellowstone Area. Association of American Geographers Annual Conference, New York, NY, February 2001.
- Wulder, M.A, S.E. Franklin, L.M. Moskal and M.B. Lavigne. GIS forest stand polygon decomposition with remotely sensed data: Set-up, data flow, application, and analysis. Conference on Geographic Information Systems and Remote Sensing for Sustainable Forest Management: Challenge and Innovation in the 21st Century, Edmonton, AB, February 2000.
- Dickson, E.E., L.M. Moskal, S.E. Franklin, R. Hall and D. Farr. Remote sensing and forest biodiversity monitoring in Alberta. Conference on Geographic Information Systems and Remote Sensing for Sustainable Forest Management: Challenge and Innovation in the 21st Century, Edmonton, AB, February 2000.
- Moskal, L.M. and S.E. Franklin. High resolution image texture for AVI multicanopy stand classification. Proceedings Canadian Association of Geographers Annual Meeting, Lethbridge, AB, June 1999.
- Moskal, L.M.Incorporating texture in multistory canopy forest stand classification on high resolution multispectral and multiresolution imagery. Proceedings Department of Geography, University of Calgary, Annual Conference, Calgary, AB, March 1999.
- Presutti, M.E., L.M. Moskal, E.E. Dickson, A.M. Lombardo and S.E. Franklin. Forestry and agricultural land cover classification using RadarSAT and Landsat TM imagery in the south east province of Buenos Aires, Argentina. I-Poster, 2nd International Symposium on Operationalization of Remote Sensing, ITC Enschede, the Netherlands, June 1999.
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| abstracs published |
- Park, J., Krogstad, F., Fridley, J. and L. M. Moskal, 2009. Introduction of Local Difference Algorithm and a New Approach of Stream Map Accuracy Assessment, Silvilaser, College Station, TX, October 2009.
- Erdody, T.L. and L.M. Moskal, 2009. Fusion of LiDAR and Imagery for Estimating Canopy Fuel Metrics in Eastern Washington Forests, Silvilaser, College Station, TX, October 2009.
- Frye, A.J. and L. M. Moskal, 2009. Topographic mapping with LiDAR - a summary of an undergraduate geospatial technician internship. The Annual University of Washington Undergraduate Research Symposium, May 19, 2009, Seattle, WA.
- Johnsey, P., Zheng G and L. M. Moskal, 2009. Crown complexity and blocking effect of leaf-on and leaf-off tree conditions. The Annual University of Washington Undergraduate Research Symposium, May 19, 2009, Seattle, WA.
- Vondrasek, C., Halabisky M and L. M. Moskal, 2009. Analysis of Long term Change in Arid Wetlands. The Annual University of Washington Undergraduate Research Symposium, May 19, 2009, Seattle, WA.
- Erdody, T.L. and L. M. Moskal. 2009. “Fusion of LiDAR and Imagery for Estimating Canopy Fuel Metrics in Eastern Washington Forests”, University of Washington College of Forest Resources Graduate Student Symposium, Seattle, WA, March 2009.
- Moskal, L.M., 2008. LiDAR Applications in Precision Forestry. Submitted and accepted to the Proceedings of the 2008 annual American Society for Photogrammetry and Remote Sensing meeting in Portland OR, April-May 2008.
- Erdody, T.L. and L.M. Moskal. 2008. “Fusion of LiDAR and Imagery for Estimating Canopy Fuel Metrics in Eastern Washington Forests”, California Association of Fire Ecology, Pacific Coast Fire Conference, San Diego, CA, December 2008.
- Frye, A.J., L. M. Moskal and J. Green. 2008. Topographic Mapping with LiDAR: A Summary of an Undergraduate Geospatial Technician Internship. Submitted and accepted to the Proceedings of the 2008 annual American Society for Photogrammetry and Remote Sensing meeting in Portland OR, April-May 2008.
- Zheng, G. and L. M. Moskal, 2008. Forest inventory characterization from ground based LiDAR. Submitted and accepted to the Proceedings of the 2008 annual American Society for Photogrammetry and Remote Sensing meeting in Portland OR, April-May 2008.
- Erdody, T.L. and L.M. Moskal. (2008) "LiDAR Derived Forest Structure for Fire Modeling". Submitted and accepted to the Proceedings of the 2008 annual American Society for Photogrammetry and Remote Sensing meeting in Portland OR, April-May 2008.
- Moskal, L.M., J. Richardson and S. Kim, 2008. Leaf Area Index derived from airborne and ground LiDAR. International LiDAR Forum 08, Denver, CO.
- Moskal, L.M., 2008. LiDAR Applications in Precision Forestry. Submitted & accepted to the Proceedings of the 2008 annual American Society for Photogrammetry & Remote Sensing meeting in Portland OR, April-May 2008.
- Frey, A.J., L. M. Moskal & J. Green. 2008. Topographic Mapping with LiDAR: A Summary of an Undergraduate Geospatial Technician Internship. Submitted & accepted to the Proceedings of the 2008 annual American Society for Photogrammetry & Remote Sensing meeting in Portland OR, April-May 2008.
- Zheng, G. & L. M. Moskal, 2008. Forest inventory characterization from ground based LiDAR. Submitted & accepted to the Proceedings of the 2008 annual American Society for Photogrammetry & Remote Sensing meeting in Portland OR, April-May 2008.
- Erdody, T.L. & L.M. Moskal. (2008) "LiDAR Derived Forest Structure for Fire Modeling". Submitted & accepted to the Proceedings of the 2008 annual American Society for Photogrammetry & Remote Sensing meeting in Portland OR, April-May 2008.
- Moskal, L.M., J. Richardson & S. Kim, 2008. Leaf Area Index derived from airborne & ground LiDAR. International LiDAR Forum 08, Denver, CO.
- Richardson, J. J., Moskal, L.M., Kato, A., & Kim, S. 2007. LiDAR derived leaf area index in a heterogeneous mixed forest. Soc. Amer. For. Portland, OR.
- Kato A., Moskal L. M., Schiess, P., Kim, S-H, & Schreuder, G.F., 2007 “Wrapped Surface Tree Crown Reconstruction from LiDAR data”, WACFWRU 40th Anniversary Celebration Annual Research Review, Seattle, WA, May 2007.
- Kato, A., Moskal, L.M. & Calhoun, D., (2007) “Spatial Resolution Effect of Tree Parameters for Forest Fire Simulation.”, ForestSAT07, Montpellier, France Nov. 2007
- Kato, A., Moskal, L.M., Swanson, M.E., Schiess, P., & Calhoun, D., (2007) “A Wrapped Surface Reconstruction Method of LiDAR Points to Identify Tree Crown Attributes”, CRSS/ASPRS 2007 Fall Conference, Ottawa, Canada Nov. 2007
- Kato, A., Moskal, L.M., Schiess. P, (2007) "Capturing Crown Formation from Remotely Sensed Data”, Society of American Foresters National Convention 2007, Portland, OR. Oct. 2007
- Moskal, L.M. & Kato, A., (2007) "New Segmentation Method to Capture Three Dimensional Tree Structure from LiDAR”, Society of American Foresters National Convention 2007, Portland, OR. Oct. 2007
- Richardson, J., Moskal, L.M, Kato, A., & Kim S., (2007) "Leaf Area Index Derived from Airborne LiDAR in a Heterogeneous Mixed Forest”, Society of American Foresters National Convention 2007, Portland, OR. Oct. 2007
- Moskal, L. M. & A. Kato. New Segmentation Method to Capture Three Dimensional Tree Structure from LiDAR. Society of American Foresters Annual Meeting, Portland OR, October 2007.
- Kato, A. & L. M. Moskal. Capturing Crown Formation From LiDAR Data. Society of American Foresters Annual Meeting, Portland OR, October 2007.
- Richardson, J., L. M. Moskal, S. H. Kim & A. Kato. Leaf Area Index Derived from Airborne LiDAR in a Heterogeneous Mixed Forest. Portland OR, October 2007.
- Bura, R., L. M. Moskal, D. Paun & C. Ryan. SustainablityRX: Bioenergy Innovations Using Remote Sensing & Market Assessment Tools. 29th Symposium on Biotechnology for Fuels & Chemicals, April 29th-May 2nd, 2007.
- Moskal, L. M ., J.L. Haack, G.A. Rowell & M. D. DeBacker, 2006. Geostatistical Analysis of Long-term Monitoring Data: A Case Study of Plant Communities at Tallgrass Prairie National Preserve, Kansas . National Park Service Annual National Inventory & Monitoring Meeting, San Diego , CA , February 2006.
- Woosley, R. J., L. M. Moskal & S. VanRhein, Economic Impact of Impervious Surfaces on Storm Water Management in Platte County , MO : A Geospatial Sciences Perspective . Missouri Natural Resources Conference, Lake of the Ozarks, MO , February 2006.
- Hunsinger, T. & L.M. Moskal . Half a Century of Spatial & Temporal Landscape Changes in the Finley River Basin , Missouri . Association of American Geographers Annual Conference, Denver, CO, April 2005.
- Lear, S. & L.M. Moskal. Satellite Data GIS Server for Education & Research at Missouri State University . Association of American Geographers Annual Conference, Denver, CO, April 2005.
- Wood, C. & L.M. Moskal . Community Oriented Geospatial Education: The Missouri State University College of Natural & Applied Sciences Centennial Project. Association of American Geographers Annual Conference, Denver, CO, April 2005.
- Moskal, L.M., M.D. Dunbar, M.E. Jakubauskas, J.E. Dobson, K.P. Price and E.A. Martinko, 2002. Geostatistical forest inventory characterization in Yellowstone National Park based on remotely sensed imagery. EnviroMount Conference on Geographic Information Systems and Remote Sensing in Mountain Environment Research, Zakopane, Poland, September 2002.
- Dunbar, M. D., L.M. Moskal, M.E. Jakubauskas, J.E. Dobson, K.P. Price and E.A. Martinko, 2002. Forest inventory visualization in Yellowstone National Park based on remotely sensed imagery. EnviroMount Conference on Geographic Information Systems and Remote Sensing in Mountain Environment Research, Zakopane, Poland, September 2002.
- Moskal, L.M., Jakubauskas, M.E., H. McCulley, E.A. Martinko, and K.P. Price. Application of geostatistics and remotely sensed imagery for forest inventory mapping in Greater Yellowstone Area. MidAmerica GIS Consortium, Kansas City, MO, April 2002.
- Dunbar, M.D., L.M. Moskal, M.E. Ramspott, M.E. Houts, K.P. Price, M.E. Jakubauskas, E.A. Martinko, 2002. Resource mapping with a high-resolution digital multispectral data acquisition system. MidAmerica GIS Consortium, Kansas City, MO, April 2002.
- Dunbar, M.D., L.M. Moskal, M.E. Ramspott, M.E. Houts, K.P. Price, M.E. Jakubauskas, E.A. Martinko. High-resolution digital multispectral data acquisition system for forestry and rangeland applications. Kansas Academy of Science Annual Meeting, Fort Hays, KS, April 2002.
- Moskal, L.M., M.E. Houts, M.E. Jakubauskas, K. Price and E. Martinko. 2001. Multispectral high resolution digital photography for forest characterization in the Central Plateau of the Yellowstone National Park. The 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper E-22.
- Moskal, L.M., M. E. Jakubauskas, K.P. Price and E.A. Martinko. Comparing kriging to co-kriging geostatistical methods for estimating forest inventory attributes in the Central Plateau of Yellowstone National Park. Kansas Academy of Science Annual Meeting, Lawrence, KS, April 2001.
- Moskal, L.M., E.E. Dickson, S.E. Franklin, D. Farr and R. Hall. Use of Landsat TM for quantifying landscape pattern change in the Alberta Foothills pilot study area. Western Division of Canadian Geographers Annual Meeting, Abbotsford, BC, March 2000.
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| TECHNICAL REPORTS |
- Moskal, L.M., D. M. Styers and J. Kirsch, 2011. Tacoma Canopy Cover, Final Report for Department of Natural Resources and the Forest Service.
- Moskal, L.M. and M. Halabisky, 2010, Spatial Analysis of Recreational Impacts in Mount Rainier National Park, Final Report to National Park Service.
- Moskal, L.M., 2010, Urban Natural Resources Stewardship: Geospatial Data Assessment and Management, Final Report to USDA Forest Service, PNW Research Station.
- Moskal, L.M., 2010, Development of a LIDAR-driven forest inventory protocol, Final Report to USDA Forest Service, PNW Research Station.
- Mead, L., S. London, L.M.Moskal, A. Erickson, M. Mead, S. Griffith, T. Melton, T. Flately, S. Maco, G. Lohr, G. Davis, D. Kuhn, D. DeWald, M. McNaughton, B. Gilles and G. Wright. Evergreen Communities Inventory Project Technical Advisory Committee Report. Department of Natural Resources, P. 200.
- Moskal, L.M. and M. Halabisky, 2009, Spatiotemporal Monitoring of Arid Wetlands, Final Report to The Nature Conservancy.
- Moskal, L.M, 2005. Geostatistical Analysis of Vegetation Community & Avian Data in the Tallgrass Prairie National Preserve, Kansas . Report for National Park Service & the Cooperative Ecosystem Studies Unit.
- Jakubauskas , M.E. , Price, K.P., Martinko, E.A., & Moskal, L.M . 2004. Remote Sensing-based Geostatistical Modeling for Coniferous Forest Inventory & Characterization. Final Report to National Aeronautics & Space Administration, Earth Sciences Division,Remote Sensing Applications in Agriculture, Forestry, & Range Resources Management (NRA-98-OES-09). 63 pp.
- Jakubauskas , M.E. , Moskal, L.M , Houts , M.E. , Price, K.P., & Martinko, E.A. 2004. Forest characterization in the Central Plateau of Yellowstone National Park using multispectral high-resolution digital photography. P. 119-122 in 25th Annual Report of the University of Wyoming/National Park Service Research Center, H.J. Harlow & M. Harlow, eds. University of Wyoming, Laramie , Wyoming.
- Moskal, L.M. & T. Hunsinger, 2004. Final Report: Satellite data server for Earth's systems science education & research (Internal Report). Missouri State University.
- Moskal, L.M. & L. M. Bowe, 2004. Historical Oak-Savanna Trees Mapping Project. Report for Wilson 's Creek National Battlefield & the National Park Service, Republic, MO.
- Moskal, L.M. 2003. Post fire regeneration seedling density mapping using object oriented approach on high resolution multispectral imagery, in Proceedings of the 2003 Seminar in Advance Image Classification Technologies, S. Egbert, Ed. Kansas Applied Remote Sensing Program, University of Kansas, Lawrence, KS.
- Moskal, L.M. 2002. Harmonic analysis of natural and manmade disturbances in the Yellowstone region Pp. 44-59 in Proceedings of the 2002 Seminar in Hypertemporal Image Analysis, M. Jakubauskas, Ed. Kansas Applied Remote Sensing Program, University of Kansas, Lawrence, KS. 103 p.
- Moskal, L.M., Figure 8.3 in 'Remote Sensing for Sustainable Forest Management', S.E. Franklin, 2001. Lewis Publishers, p 299.
- Moskal, L.M. & S.E. Franklin, 2000. Field protoc 21.10.11 13:40 Foothills Model Forest, Hinton, AB.
- Dickson, E.E. Franklin, S.E. & L.M. Moskal, 2000. Monitoring of forest biodiversity using remote sensing forest stand (high spatial resolution) protocol & examples. Report of the Foothills Model Forest, Alberta Forest Biodiversity Monitoring Program Pilot Project, Hinton, AB.
- Dickson, E.E. Franklin, S.E. & L.M. Moskal, 2000. Monitoring of forest biodiversity using remote sensing: regional landscape (medium & low spatial resolution) protocol & examples. Report of the Foothills Model Forest, Alberta Forest Biodiversity Monitoring Program Pilot Project, Hinton, AB.
- Franklin, S.E., M.B. Lavigne, A.J. Maudie, T. M. McCaffery, L.M. Moskal, K. Pugh, M. Siira & M. A. Wulder, 2000. Interpretation, classification, & digital update of partial harvest forest stand conditions using annual differences in tasseled cap transformations of Landsat TM imagery: A study in the Fundy Model Forest. Report for Fundy Model Forest, Sussex East, NB.
- Franklin, S.E., M.B. Lavigne, L.M. Moskal, T. M. McCaffrey, D.R. Peddle, R. Johnson, M.A. Wulder, K. Pugh, 1999. Remote sensing change detection of partial harvest stands in the Fundy Model Forest. Report for Fundy Model Forest, Sussex East, NB.
- Moskal, L.M., 2000. DEM extraction from RadarSAT imagery and image othorectification using the PCI OrthoEngine software workshop and exercise manual. Department of Geography, University of Calgary, Calgary, AB.
- Moskal, L.M., 1999. Satellite imagery orthorectification. Department of Geography, University of Calgary, Calgary, AB.
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| BROSHURES |
- Moskal, L.M. and H. O’Niel, 2005. Forest Cover Change in the James River Basin, published in 2004 for the James River Basin Partnership
- Moskal, L.M. and M. L. Bowe, 2005. Mapping the Past, published in 2004 for the CNAS Centennial Project, Southwest Missouri State University
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