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Peer reviewed publications
Im, J., L.J. Quackenbush, M. Li, and F.Fang, 2014. Optimum Scale in Object-Based Image Analyis, in Scale Issues in Remote Sensing, edited by Q. Weng, John Wiley & Sons, pp. 197-213.
Zhen, Z., L.J. Quackenbush, and L. Zhang, 2014. Impact of Tree-Oriented Growth Order in Marker-Controlled Region Growing for Individual Tree Crown Delineation Using Airborne Laser Scanner (ALS) Data, Remote Sensing, 6, 555-579; doi:10.3390/rs6010555.
Zhen, Z., L.J. Quackenbush, S.V. Stehman, and L. Zhang, 2013. Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification, International Journal of Remote Sensing, 34(19): 6914-6930, DOI: 10.1080/01431161.2013.810822
Quackenbush, L.J., J. Im, and Y. Zuo, 2013. Road Extraction: A Review of LiDAR-Focused Studies, in Remote Sensing of Natural Resources, edited by G. Wang and Q. Weng, CRC Press, Boca Raton, Florida, pp. 155-169.
Lu, Z., Im, J. , L.J. Quackenbush, and S. Yoo, 2013. Remote sensing based house value estimation using an optimized regional regression model, Photogrammetric Engineering and Remote Sensing, 79(9): 809-820, DOI: 10.14358/PERS.79.9.809.
Im, J., Z. Lu, J. Rhee, and L.J. Quackenbush, 2012. Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data, Remote Sensing of Environment, 117: 102–113.
Zhang, W., L.J. Quackenbush, J. Im, and L. Zhang, 2012. Indicators for separating undesirable and well-delineated tree crowns from high spatial resolution imagery, International Journal of Remote Sensing, 33(17): 5451–5472.
Ke, Y., and L.J. Quackenbush, 2011. A review of methods for automatic individual tree crown detection and delineation. International Journal of Remote Sensing, 32(13): 3625–3647.
Ke, Y., and L.J. Quackenbush, 2011. A comparison of three methods for automatic tree crown detection and delineation from high spatial resolution imagery. International Journal of Remote Sensing, 32(13): 3625–3647.
Lu, Z., J. Im, and L.J. Quackenbush, 2011. A volumetric approach to population estimation using LiDAR remote sensing, Photogrammetric Engineering & Remote Sensing, 77(11): 1145–1156.
Gunson, K.E., G. Mountrakis, and L.J. Quackenbush, 2010. Spatial wildlife-vehicle collision models: A review of current work and their application to transportation mitigation projects. Journal of Environmental Management, 92(4): 1074–1082 (Abstract).
Ke, Y., L.J. Quackenbush, and J. Im, 2010. Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification. Remote Sensing of Environment, 14(6): 1141–1154. (Abstract)
Ke, Y., W. Zhang, and L.J. Quackenbush, 2010. Active contour and hill-climbing for tree crown detection and delineation. Photogrammetric Engineering and Remote Sensing, 76(10): 1169–1181.
Lu, Z., J. Im, L.J. Quackenbush, and K. Halligan, 2010. Population estimation based on multi-sensor data fusion. International Journal of Remote Sensing, 31(21): 5587–5604.
Zhang, W., Y. Ke, L.J. Quackenbush, and L. Zhang, 2010. Using Error-in-Variable Regression to Predict Tree Diameter and Crown Width from Remotely Sensed Imagery. Canadian Journal of Forest Research, 40(6): 1095–1108.
Doucette, J.S., W.M Stiteler, L.J. Quackenbush, and J.T. Walton, 2009. A Rules-Based Approach for Predicting the Eastern Hemlock Component of Forests in the Northeastern United States. Canadian Journal of Forest Research, 39: 1453–1464. (Abstract)
Quackenbush, L.J., 2007. Separating Types of Impervious Land Cover Using Fractals, in Remote Sensing of Impervious Surfaces (Q. Weng, Ed.), CRC Press, Boca Raton, Florida, pp. 119–142.
Wu, W., C.A. Hall, F.N. Scatena, L.J. Quackenbush, 2006. Spatial modelling of evapotranspiration in the Luquillo Experimental Forest of Puerto Rico using remotely-sensed data. Journal of Hydrology, 328(3-4): 733–752. (Paper)
Quackenbush, L. J., 2004. A Review of Techniques for Extracting Linear Features from Imagery. Photogrammetric Engineering and Remote Sensing, 70(12): 1383–1392. (Paper.)
Quackenbush, L.J., P.F. Hopkins, and G.J. Kinn, 2000. Developing Forestry Products from High Resolution Digital Aerial Imagery. Photogrammetric Engineering and Remote Sensing, 66(11): 1337–1346. (Paper.)
Conference proceedings
Bhatarai, N.,Quackenbush, L.J., Calandra, L.N., Im, J., and S.A. Teale, 2012. An automated object-based analysis of Sirex infestation in pines. Proceedings of the 2012 ASPRS Conference, Sacramento, CA, March 19-23, Unpaginated CD-ROM.
Quackenbush, L.J., N. Bhattarai, L.N. Calandra, J. Im, and S.A. Teale, 2011. Spectral analysis of scotch pine infested by Sirex noctilio. Proceedings of 2011 ASPRS Annual Conference, Milwaukee, WI, 1–5 May.
Zhang, W., L.N. Calandra, L.J. Quackenbush, J. Im, and S.A. Teale, 2010. Monitoring Scotch pine infested by Sirex noctilio using hyperspectral data: a laboratory study. Proceedings of 2010 ASPRS Annual Conference. San Diego, CA.
Zuo, Y., and L.J. Quackenbush, 2010. Road extraction from lidar data in residential and commercial areas of Oneida County, New York. Proceedings of 2010 ASPRS Annual Conference. San Diego, CA.
Ke, Y., and L.J. Quackenbush, 2009. Individual tree crown detection and delineation from high spatial resolution imagery using active contour and hill-climbing methods. Proceedings of 2009 ASPRS Annual Conference, Baltimore, MD.
Ke, Y., and L.J. Quackenbush, 2008. Comparison of Individual Tree Crown Detection and Delineation Methods. Proceedings of 2008 ASPRS Annual Conference, Portland, OR.
Shah, C.A., and L.J. Quackenbush, 2007. Analyzing multi-sensor data fusion techniques: a multi-temporal change detection approach. Proceedings of 2007 ASPRS Annual Conference, Tampa, FL.
Doucette, J.S., W.M. Stiteler, L.J. Quackenbush, 2006. Combining multispectral imagery with species specific habitat elements to locate hemlock. Proceedings, 2006 ASPRS Annual Conference, Reno, Nevada, 15 May.
Quackenbush, L.J., C.N. Kroll, 2006. Investigating New Advances in Forest Species Classification. Proceedings, 2006 ASPRS Annual Conference, Reno, Nevada, 15 May.
Quackenbush, L. J., 2005. Calculating fractal dimension using the triangular prism method. Proceedings, 2005 ASPRS Annual Conference, Baltimore, Maryland, 911 March.
Quackenbush, L.J., 2004. Calculating fractal dimension using the triangular prism method. Accepted for inclusion in Proceedings, 2004 ASPRS Annual Conference, Baltimore, Maryland, 811 March, 2005.
Quackenbush, L. J., 2004. Classification of Impervious Land Cover Using Fractals. Proceedings, 2004 ASPRS Annual Conference, Denver, Colorado, 2428 May.
Quackenbush, L. J. and P. F. Hopkins, 2003. Using Fractal Dimension to Separate Types of Impervious Land-Cover. Proceedings, 2003 ASPRS Annual Conference, Anchorage, Alaska, 79 May.
Riordan, K. D., R. J. Turner, S. Chen, P. F. Hopkins, and L. J. Quackenbush, 2001. Processing High Resolution, Digital Imagery to Efficiently Derive Forest Stand Information. Presented at 2001 ASAE Annual International Meeting, Sacramento, California, Paper No. 01-8078, 29 July 1 August.
Quackenbush, L. J., D. G. Murdock, K. D. Riordan, P. F. Hopkins, S. Chen, 2001. Analysis of Fusion Techniques for Forestry Applications. Proceedings, 2001 ASPRS Annual Conference, St. Louis, Missouri, 2327 August.
Brock, R. H., E. Karakurt, L. J. Quackenbush, P. J. Szemkow, R. P. Aicher, J. T. Walton, S. Whisenand, 2000. The Accuracy of Single Frequency Code-based GPS Positioning when used in Forest Conditions. Presented at the 2000 ASAE Annual International Meeting, Milwaukee, Wisconsin, Paper No. 005012, 912 July.
Quackenbush, L. J., P. F. Hopkins and G. J. Kinn, 2000. Using Template Correlation to Identify Individual Trees in High Resolution Imagery. Proceedings, 2000 ASPRS Annual Conference, Washington DC, 2326 May.
Quackenbush, L. J., P. F. Hopkins and G. J. Kinn, 1999. Deriving Tree Crown Delineations and Counts from High Resolution Digital Aerial Imagery. Presented at the 1999 ASAE/CSAE-SCGR Annual International Meeting, Toronto, Ontario, Paper No. 99-5034, 1822 July.
Quackenbush, L. J., P. F. Hopkins and G. J. Kinn, 1999. Developing Derivative Products from High Resolution Digital Aerial Imagery. Proceedings, 1999 ASPRS Annual Conference, Portland, OR.
Poster and other presentations
Quackenbush, L.J., Ke, Y., Teale, S.A., and Im, J., 2009. Exploring Spectral Characteristics of Sirex Woodwasp Infestation in Scotch Pines. ASPRS Annual Conference, Baltimore, MD.
Ke, Y. and L.J. Quackenbush, 2009. Individual Tree Crown Detection and Delineation from High Spatial Resolution Imagery. CNY ASPRS Annual Meeting, Syracuse, NY.
*Zhang, W., L.J. Quackenbush, and L. Zhang, 2009. Using Error-in-Variable Regression to Predict Tree Diameter and Crown Width from Remotely Sensed. CNY ASPRS Annual Meeting, Syracuse, NY.
*Zuo, Y., and L.J. Quackenbush, 2009. Road Extraction from Lidar Data in Residential and Commercial Areas of Oneida County, New York. CNY ASPRS Annual Meeting, Syracuse, NY.Quackenbush, L.J., Y. Ke, S.A. Teale, and J. Im, 2009. Exploring Spectral Characteristics of Sirex Woodwasp Infestation in Scotch Pines. Presented at ASPRS Annual Conference, Baltimore, MD.
Ke, Y., and L.J. Quackenbush, 2008. A comparison of three methods for individual tree crown detection and delineation from high spatial resolution imagery. NYS GIS Conference. Syracuse, NY.
Ke, Yinghai and L.J. Quackenbush, 2007. Forest Species Classification and Tree Crown Delineation using QuickBird Imagery. Presented at 23rd Annual NYS GIS Conference, Albany, NY.
Herman, E., E. Allen, and L.J. Quackenbush, 2007. Panel: GIS Certification Process and Benefits. NYS GIS Conference, Albany NY.
Quackenbush, L.J., 2007. APSRS: Overview of Society and Professional Certification. Presented at CNY ASPRS Winter Meeting, Utica, NY, 19 Apr.
Ke, Yinghai and L.J. Quackenbush, 2006. Forest Species Classification and tree crown delineation using QuickBird imagery. Presented at New York State GIS conference, Lake Placid, NY.
Paul, Y.E., and L.J. Quackenbush, 2006. Estimation of accuracy A comparison of lidar and survey-based digital terrain models. Presented at New York State GIS conference, Lake Placid, NY.
Peddada, D., L.J. Quackenbush, T. Amidon, 2006. GIS-based model for least cost path assessment of biomass. Presented at New York State GIS conference, Lake Placid, NY.
Bacon, G. and L.J. Quackenbush, 2006. Object-oriented Classification of Brownfields. Presented at 2006 Regional Data Exchange (RDX) and CNY Remote Sensing Symposium, Rochester, NY.
Nordman, E.E., L.J. Quackenbush and L.P. Herrington, 2006. Object-Oriented Land Cover Classification of a Suburban Watershed Using QuickBird Satellite Imagery. Presented at 2006 Regional Data Exchange (RDX) and CNY Remote Sensing Symposium, Rochester, NY.
Nordman, E.E., L.J. Quackenbush and L.P. Herrington, 2005. Object-Oriented Land Cover Classification of a Suburban Watershed Using QuickBird Satellite Imagery. Presented at NYS GIS Conference, Rochester, NY. Received People’s Choice Award.
Stephen, P.P., G.L. Boyer, and L.J. Quackenbush, 2004. Remote sensing in the monitoring and event response of harmful algal blooms. Poster presentation at 2004 ASPRS Annual Conference, Denver, Colorado.
Quackenbush, L. J., 1999. Proposals Welcome as SUNY-ESF Joins NASA Affiliated Research Center Program. Clearwaters, New York Water Environment Association, Inc. Vol. 28, No. 3.
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Last Updated 6 Feb 2014