Journal Articles

2013

Burns, E.S., S.F. Tóth, and R.G. Haight. 2013. A Modeling Framework for Life History-Based Conservation Planning. Biological Conservation 158(1): 14-25.

Könnyu, N. and S.F. Tóth. 2013. A Cutting Plane Algorithm for Area-Based Adjacency Formulations in Harvest Scheduling Models. Europe. Journal of Operational Research. 228(1): 236-248.

Passolt, Gregor, Miranda J. Fix and Sándor F. Tóth. 2013. A Voronoi Tesselation-based Approach to Generate Hypothetical Forest Landscapes. Canadian Journal of Forest Reseach. 43(1): 78-89.

St. John, Rachel and Sándor F. Tóth. 2013. Spatially-Explicit Forest Harvest Scheduling with Difference Equations. Annals of Operations Research, 10.1007/s10479-012-1301-4.

2012

Burns, Eileen S., Sándor F. Tóth, and Robert G. Haight 2013: A Modeling Framework for Life History-Based Conservation Planning. Biological Conservation. 158(1): 14-25.

Handcock, R.N., Torgersen, C.E., Cherkauer, K.A., Gillespie, A.R., Tockner, K., Faux, R.N., Tan, J. 2012., Chapter 5- Thermal infrared remote sensing of water temperature in riverine landscapes In Carbonneau, P., Piegay, H., eds., Fluvial Remote Sensing for Science and Management, first edition: Chichester, UK, John Wiley & Sons, Ltd., p. 85-113.

d’Oliveira, M.V.N., S. Reutebuch, R. McGaughey, and H.-E. Andersen. 2012. Estimating forest biomass and identifying low-intensity logging areas using airborne scanning lidar in Antimary State Forest, Acre State, Western Brazilian Amazon. Remote Sensing of Environment. 124: 479-491.

Rabotyagov, Sergey S., Sándor F. Tóth, and Gregory J. Ettl. 2012. Testing the Design Variables of ECOSEL: A Market Mechanism for Forest Ecosystem Services. Forest Science.

Strunk, J., S. Reutebuch, H.- E. Andersen, P. Gould, and R. McGaughey. 2012. Model-Assisted Forest Yield Estimation with Light Detection and Ranging. Western Journal of Applied Forestry. 27(2): 53-59.

Strunk, J., H. Temesgen, H.-E. Andersen, J. Flewelling, and L. Madsen. 2012. Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables. Canadian Journal of Remote Sensing. 38(5): 644-654.

Tóth, Sándor F., Nóra Könnyű, Marc E. McDill, and Sonney George. 2012. Lazy Constraints for Area-Based Adjacency Formulations in Harvest Scheduling Models. Forest Science.

Tóth, Sándor F., Robert G. Haight, and Luke W. Rogers. 2011. Dynamic Reserve Selection: Optimal Land Retention with Land Price Feedbacks. Operations Research. 59(5): 1059-1078.

Tóth, Sándor F., Marc E. McDill, Nóra Könnyű, and Sonney George. 2012. A Strengthening Procedure for the Path Formulation of the Area-based Adjacency Problem in Harvest Scheduling Models. Mathematical and Computational Forestry & Natural-Resource Sciences 4(1): 16-38.

Vaughn, N.R., M.L Moskal, E.C Turnblom. 2012. Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform LidarRemote Sens. 20124(2), 377-403.

Zheng, G. and Moskal, L. M. 2012. Computational Geometry Based Retrieval of Effective Leaf Area Index Using Terrestrial Laser Scanning. Geoscience and Remote Sensing, Vol. 50, Issue 10, pp. 3958-3969.

2011

Andersen, H.-E., J. Stunk, H. Temesgen, D. Atwood, and K. Winterberger. 2011. Using multi-level remote sensing and ground data to estimate forest biomass resources in remote regions: A case study in the boreal forests of interior Alaska. Canadian Journal of Remote Sensing. 37(6): 596-611.

Andersen, H.-E., J. Strunk, and H. Temesgen. 2011. Using airborne light detection and ranging as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska. Western Journal of Applied Forestry. 26(4): 157-164.

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.

Kim, Sooyoung, T. Hinckley; D. Briggs. 2011. Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data. Remote Sensing of Environment, 115 (12), pg. 3329-3342.

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.

Moskal, L. M. and Zheng, G. 2012. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest.Remote Sensing, 4(1), 1-20.

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.

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.

Vaughn N., L. M. Moskal and E. Turnblom, 2011. Fourier transformation of waveform LiDAR for species recognition. Remote Sensing Letters, 2(4); 347-356.

2010

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.

2009

Kato, A., L. M. Moskal, P. Schiess, M. E. Swanson, D. Calhoun and W. Stuetzle. 2009. Capturing Crown Formation through Implicit Surface Reconstruction. Remote Sensing of Environment. Volume 113, Issue 6.

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.

Sullivan, Alicia A., R.J. McGaughey ,H.E. Andersen, P. Schiess. 2009. 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).

Tóth, S.F., R.G. Haight, S.A. Snyder, S. George, J.R. Miller, M.S. Gregory and A.M. Skibbe. 2009. 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.

Tóth, S.F. and M.E. McDill. 2009. Finding Efficient Harvest Schedules under Three Conflicting Objectives. Forest Science 55(2): 117-131.

Zheng, G. and L. M. Moskal. 2009. Retrieving leaf area index (LAI) based on remote sensing: theory, method and sensors. Sensors 9, 2719-2745; doi:10.3390/s90402719.

2008

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.

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.

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-firCan. J. For. Res. Volume 38, Number 9, 1 September 2008, pp. 2476-2486(11).

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).

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.

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.

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.