Book chapters
- 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.
- 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.
- Quackenbush, L.J., 2007. Separating Types of Impervious Land Cover Using Fractals, in Remote Sensing of Impervious Surfaces, editied by Q. Weng, CRC Press, Boca Raton, Florida, pp. 119–142.
Peer-reviewed journal publications
- Bhattarai, N., S.B. Shaw, L.J. Quackenbush, J. Im, and R. Niraula, 2016. Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate. International Journal of Applied Earth Observation and Geoinformation, 49: 75–86, http://dx.doi.org/10.1016/j.jag.2016.01.010.
- Zhen, Z., L.J. Quackenbush, and L. Zhang, 2016. Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data. Remote Sensing 8(4): 333, http://dx.doi.org/10.3390/rs8040333.
- Bhattarai, N., L.J. Quackenbush, M. Dougherty and L.J. Marzen, 2015. A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution. International Journal of Remote Sensing, 36(1): 115–143, http://dx.doi.org/10.1080/01431161.2014.990645.
- Liu, T., J. Im., L.J. Quackenbush, 2015. A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification. ISPRS Journal of Photogrammetry and Remote Sensing, 110: 34 – 47, http://dx.doi.org/10.1016/j.isprsjprs.2015.10.002.
- Zhen, Z., L.J. Quackenbush, S.V. Stehman, and L. Zhang, 2015. Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data, ISPRS Journal of Photogrammetry and Remote Sensing, 36(7): 1965-1993, http://dx.doi.org/10.1080/01431161.2015.1030043.
- Kang, D., J. Im, M.-I. Lee, and L.J. Quackenbush, 2014. The MODIS ice surface temperature product as an indicator of sea ice minimum over the Arctic Ocean, Remote Sensing of Environment, 153(9): 99–108, http://dx.doi.org/10.1016/j.rse.2014.05.012.
- Li, M., J. Im, L.J. Quackenbush, T. Liu, 2014. Forest Biomass and Carbon Stock Quantification Using Full Waveform LiDAR data: A Comparison of Statistical and Machine Learning Approaches, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(7): 3143–3156; http://dx.doi.org/10.1109/JSTARS.2014.2304642.
- Shaw, S.B., J. Marrs, N. Bhattarai, and L.J. Quackenbush, 2014. Longitudinal Study of the Impacts of Land Cover Change on Hydrologic Response in Four Mesoscale Watersheds in New York State, USA, Journal of Hydrology 519(A): 12-22; http://dx.doi.org/10.1016/j.jhydrol.2014.06.055.
- 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; http://dx.doi.org/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, http://dx.doi.org/10.1080/01431161.2013.810822
- 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, http://dx.doi.org/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, http://dx.doi.org/10.1016/j.rse.2011.06.024.
- 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, http://dx.doi.org/10.1080/01431161.2012.663109.
- 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, http://dx.doi.org/10.1080/01431161.2010.494184.
- 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, http://dx.doi.org/10.1080/01431161003762355.
- 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, http://dx.doi.org/10.1016/j.jenvman.2010.11.027 .
- 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, http://dx.doi.org/10.1016/j.rse.2010.01.002.
- 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, http://dx.doi.org/10.1080/01431161.2010.496801.
- 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, http://dx.doi.org/10.1139/X10-073.
- 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, http://dx.doi.org/10.1139/X09-060.
- 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, http://dx.doi.org/10.1016/j.jhydrol.2006.01.020.
- Quackenbush, L. J., 2004. A Review of Techniques for Extracting Linear Features from Imagery. Photogrammetric Engineering and Remote Sensing, 70(12): 1383–1392.
- 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.
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.
Oral presentations
- Keskin, M. and L.J. Quackenbush, 2014. Fragmentation of Deer Habitat in Syracuse, New York, CNY ASPRS Annual Meeting, Rochester, NY, 15 Apr.
- Quackenbush, L.J., 2014. AmericaView and NYView: Creating partnerships to support solutions to statewide problems through application of remotely sensed data, GIS-SIG Annual Conference, Rochester, NY, 15 Apr.
- Zhen, Z., L.J. Quackenbush, L. Zhang, 2014. Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data, AAG Annual Meeting, Tampa, FL, 8-12 Apr.
- Bhattarai, N., L.J. Quackenbush, S.B. Shaw, 2014. Comparison of four single-source surface energy balance-based models for estimating remotely sensed daily evapotranspiration rates, ASABE International ET Symposium, Raleigh, NC, 7-10 April.
- Zhen, Z., L.J. Quackenbush, S.V. Stehman, L. Zhang, 2014. Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data, ASPRS Annual Conference, Louisville, KY, 23-28 Mar.
- Bhattarai, N., L.J. Quackenbush, S.B. Shaw, J. Im, 2014. Introduction of automated calibration approaches to the surface energy balance-based evapotranspiration algorithms, ASPRS Annual Conference, Louisville, KY, 23-28 Mar.
- Bhattarai, N., L.J. Quackenbush, 2013. A data fusion approach for monitoring seasonal evapotranspiration, AGU Fall Meeting, San Francisco, 9-13 Dec.
- Bhattarai, N., L.J. Quackenbush, 2013, Using remote sensing and geospatial techniques in hydrological applications, NYS GIS Conference, Saratoga Springs, NY, 12-13 Nov.
- Zhen, Z., L.J. Quackenbush, 2013. Considering spatial covariance structure in individual tree crown delineation using airborne LiDAR data, presented at AAG Conference, Los Angeles, CA, April
- Bhattarai, N., L.J. Quackenbush, and S.B. Shaw, 2013. Application of Remote Sensing and Surface Energy Based Algorithms in Estimating Evapotranspiration in the Southeastern US, presented at the ASPRS Annual Conference, Baltimore, MD, March.
- Liu, T., J. Im, L.J. Quackenbush, 2013. A Novel Individual Tree Crown (ITC) Delineation Model Based On Fishing Net Dragging (FiND) Algorithm and Boundary Classification, presented at the ASPRS Annual Conference, Baltimore, MD, March.
- Liu, T., J. Im, L.J. Quackenbush, 2013. Fishing Net Dragging and Boundary Classification, presented at the GIS-SIG Conference, Rochester, NY, April.
- Bhattarai, N., L.J. Quackenbush and S.B. Shaw, 2013. A Coupled Multi-sensor Fusion and Surface Energy Balance Algorithm Approach to Derive Spatially-Distributed Seasonal Evapotranspiration Maps, presented at the GIS-SIG Conference, Rochester, NY, April.
- Bhattarai, N., L.J. Quackenbush and S.B. Shaw, 2013. A Coupled Multi-sensor Fusion and Surface Energy Balance Algorithm Approach to Derive Spatially-Distributed Seasonal Evapotranspiration Maps, presented at the GIS-SIG Conference, Rochester, NY, April.