Refereed Publications

• 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.
• 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.
• 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.
• Moskal, L.M., Figure 8.3 in “Remote Sensing for Sustainable Forest Management”, S.E. Franklin, 2001. Lewis Publishers, page 299.
• 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.
• Franklin, S.E., E.E. Dickson, D.M. Farr, M.J. Hansen & L.M. Moskal, 2000. Quantification of landscape structure using maps developed by satellite remote sensing, Forestry Chronicle, 76(6): 877-886.
• 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.
• Franklin, S.E., L.M. Moskal, M.B. Lavigne & K. Pugh, 2000. Interpretation & classification of partially harvested forest stands using multitemporal Landsat TM digital data, Canadian Journal of Remote Sensing, 26(3): 318-333.

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.

Conference Proceedings Papers

• 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.
• Moskal, L. M. and A. Kato, 2008. LiDAR tree Crown Segmentation. Submitted and accepted to the Proceedings of the 2008 annual American Society for Photogrammetry and Remote Sensing meeting in Portland OR, April-May 2008.
• Richardson, J.J., Kim, S., and 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. and L. M. Moskal, 2008. Retrieving Leaf Area Index and Net Primary Productivity based on ground-based LiDAR and ASTER images. Submitted and accepted to the Proceedings of the 2008 annual International Society of Photogrammetry and Remote Sensing congress in Beijing, China, July 2008.
• Kato, A., Moskal, L.M. and 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., and 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., and Moskal, L.M, 2008. “Mapping tree location and crown attributes using remotely sensed data.” Proceedings of 1st UIFRO All-D3-Coference, Sapporo, Japan June 2008
• Kato, A., L. M. Moskal  and D. Calhoun. Spatial Resolution Effects of LiDAR Based Tree Parameters for Forest Fire Simulation. ForestSAT’07, Montpellier, France, November 2007.
• Kato, A. and L. M. Moskal. Wrapping surface reconstruction of LiDAR Points to indentify tree attributes. CRSS and ASPRS Specialty Remote Sensing Conference, Ottawa, Canada, October 2007.
• Rowell, G.A., M.D. DeBacker, L. M. Moskal and 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 and J. Haack, Multiscale mapping of Juniperus virginiana L. encroachment in the Ozarks, Eleventh Biennial USDA Forest Service Remote Sensing Applications Conference, Salt Lake City, Utah, April 2006.
• 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 and Remote Sensing Annual Conference, Denver, CO, May 2004.
• Moskal, L.M., G. A. Rowell and J. L. Haack. Tallgrass prairie geostatistical analysis of vegetation communities using IKONOS imagery.  Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference, Baltimore, MD March 2005.
• Wood, C., N. Huggins, T. Hunsinger, H. Neil and L. M. Moskal., Visualizing urban impacts on the water quality of the James River Basin, MO.  Proceedings American Society for Photogrammetry and 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 and 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.

Conference Illustrated Paper Presentations

• 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.
• 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.
• 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.

Conference Presentations

• 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 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 and 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 and M. D. Dunbar, Ozarks iCAVE: an Interactive Cave Animation, Visualization and Exploration. Missouri Natural Resources Conference, Lake of the Ozarks, MO, February 2006.
• Haack, J.L., N. Huggins and 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. and 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 and M. DeBacker, Geostatistical analysis of vegetation communities at Tallgrass Prairie National Preserve, Symposium on Changing Natural Landscapes: Ecological and 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 and 90th Annual Meeting of the Ecological Society of America, Montreal, QC, Canada, August 2005.
• Wurglitsh, D.J., Armstrong, S. and, L.M. Moskal, Remote Sensing and Geographic Information Systems Technical Workshop: A Hands-On Approach to the Analysis and Potential Discovery of Impact Structures, The Sedimentary Record of Meteorite Impacts, Springfield, MO, May 21-22, 2005.
• Moskal, L.M. Hypertemporal response of natural and man made forest disturbances. Association of American Geographers Annual Conference, Denver, CO, April 2005.
• Neill, H., and 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 and geovisualization in resource management decision support. Missouri Natural Resources Conference, Lake of the Ozarks, MO, February 2005.
• Huggins, N., Neill, H., and 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. and L.M. Moskal. Visualizing 30 years of Spatial and Temporal Landcover Changes in the James River Basin. Missouri Natural Resources Conference, Lake of the Ozarks, MO, February 2005.
• Wood, C., Neill, H., and 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 and 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 and L.M. Moskal. Public education and resource decision making through geovisualizations of forest cover change in the James River basin. American Society for Photogrammetry and Remote Sensing Fall Conference. Images to decisions: remote sensing foundations for GIS applications, Kansas City, KS, September 2004.
• Moskal, L.M. and 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 and 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 man made 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.
• 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.
• 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.

Conference Posters

• 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. 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.

Technical Reports

• 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. & S.E. Franklin, 2000. Field protocol for the Yellowhead grizzly bear habitat project. Report for 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.

Technical Manuals

• 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.

Other Publications

• 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 & man made 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.

Brochures

• Forest Cover Change in the James River Basin, published in 2004 for the James River Basin Partnership.
• Mapping the Past, published in 2004 for the CNAS Centennial Project, Southwest Missouri State University.