Journal Articles

2009-2012

Vaughn, N.R.; Moskal, L.M.; Turnblom, E.C. Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar. Remote Sens. 2012, 4, 377-403. http://www.mdpi.com/2072-4292/4/2/377/
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.
Vaughn, N. and L. M. Moskal, 2012. Improving 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. and D. M. Styers, 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.
Sooyoung Kim; Thomas Hinckley; David Briggs . Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data, Remote Sensing of Environment (December 2011), 115 (12), pg. 3329-3342
http://www.sciencedirect.com/science/article/pii/S0034425711002690
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.
Tóth, Sándor F., Sergey S. Rabotyagov and Gregory J. Ettl 2010: ECOSEL: An Auction Mechanism for Forest Ecosystem Services. Mathematical and Computational Forestry & Natural Resource Sciences. 2(2): 99-116
Moskal, L. M., T. Erdody, A. Kato, J. Richardson, G. Zheng and D. Briggs, 2009. Aerial and Terrestrial LiDAR Applications in Precision Forestry, SilviLaser 2009 Conference Proceedings, Collage Station, TX.

Tóth, S.F. and M.E. McDill. Finding Efficient Harvest Schedules under Three Conflicting Objectives. Forest Science 55(2): 117-131.

Tóth, S.F., R.G. Haight, S.A. Snyder, S. George, J.R. Miller, M.S. Gregory and A.M. Skibbe. Reserve Selection with Minimum Contiguous Area Restrictions: An Application to Open Space Protection Planning in Suburban Chicago. Biological Conservation In Press. Biological Conservation, doi:10.1016/j.biocon.2009.02.037.

Kato, A., L. M. Moskal, P. Schiess, M. E. Swanson, D. Calhoun and W. Stuetzle. Capturing Crown Formation through Implicit Surface Reconstruction. Remote Sensing of Environment. Volume 113, Issue 6.

Richardson, J. J., L. M. Moskal, and S. Kim. 2008. Modeling approaches to estimate effective leaf area index from aerial discrete-return LiDAR. Agricultural and Forest Meteorology. Volume 149, Issues 6-7 pp1152-1160.

Andersen, H.-E.; R.J. McGaughey, and S.E. Reutebuch. 2008. Assessing the influence of flight parameters, interferometric processing, slope and canopy density on the accuracy of X-band IFSAR-derived forest canopy height models. International J. of Remote Sensing 29(5): 1495-1510.

Tóth, S.F., and M.E. McDill 2008: Promoting Large, Compact Mature Forest Patches in Harvest Scheduling Models. Environmental Modeling and Assessment (13)1-15. Please contact author for a copy of the publication.

Zheng, G. and L. M. Moskal. Retrieving leaf area index (LAI) based on remote sensing: theory, method and sensors. Sensors 9, 2719-2745; doi:10.3390/s90402719.

Sullivan, Alicia A., McGaughey, Robert J., Andersen, Hans-Erik, Schiess, Peter. Object-Oriented Classification of Forest Structure from Light Detection and Ranging Data for Stand Mapping. Western Journal of Applied Forestry, Volume 24, Number 4, October 2009 , pp. 198-204(7).

2008

Breidenbach, J., R. J. McGaughey, H.E. Andersen, G.Kändler, and S. Reutebuch. Mixed-effects models for estimating stand volume by means of small footprint airborne laser scanner data. Photogrammetric J. of Finland 21(1):4-15.

Andersen, H.-E.; R.J. McGaughey, and S.E. Reutebuch. Assessing the influence of flight parameters, interferometric processing, slope and canopy density on the accuracy of X-band IFSAR-derived forest canopy height models. International J. of Remote Sensing 29(5): 1495-1510.

Tóth, Sándor F. and M.E. McDill. Promoting Large, Compact Mature Forest Patches in Harvest Scheduling Models. Environmental Modeling and Assessment 13(1-15). Please contact author for a copy of the publication.

Li, Y., H. E. Andersen, and R.J. McGaughey. A comparison of statistical methods for estimating forest biomass from LIDAR data. Western Journal of Applied Forestry. Volume 23, Number 4, October 2008 , pp. 223-231(9).

Cherry, M.L., V. Vikram, D.G. Briggs, D.W. Cress, and G.T. Howe. Genetic variation in direct and indirect measures of wood stiffness in coastal Douglas-fir. Can. J. For. Res. Volume 38, Number 9, 1 September 2008 , pp. 2476-2486(11).

2007

Breidenbach, J., R.J. McGaughey, H.E. Andersen, G. Kändler, and S.E.Reutebuch. A mixed effects model to estimate stand volume by means of small footprint airborne lidar data for an American and German study site. International Archives of Photogrammetry and Remote Sensing 36(3) W52: 77-83.

In Press

Tóth, S.F., R.G. Haight and L.W. Rogers. 2011. Dynamic reserve selection: Modeling land price feedback effects in strategic land retention. Operations Research.

Sullivan, Alicia. Lidar Based Stand Delineation in Natural Stands. Western Journal of Applied Forestry.