ToolsUsage - bcal-lidar/tools GitHub Wiki

Scientific Publications

This section lists scientific papers that reported using BCAL Lidar Tools for their lidar data processing and analysis. If you have used BCAL Lidar Tools for your research or teaching, please kindly send the publication or product link to [email protected].

In addition to the below, a list of BCAL publications is available here: http://bcal.boisestate.edu/research/publications/.

  • Alam, Muhammad M., Martin N. Strandgard, Mark W. Brown, and Julian C. Fox. 2012. “Improving the Productivity of Mechanised Harvesting Systems Using Remote Sensing.” Australian Forestry 75 (4): 238–245. doi:10.1080/00049158.2012.10676408.
  • Anderson, Danny L., and Daniel P. Ames. 2011. “A Method for Extracting Stream Channel Flow Paths from LiDAR Point Cloud Data.” Journal of Spatial Hydrology 11 (1). http://www.hydromap.com/josh/index.php/JOSH/article/view/97.
  • Bright, B. C., J. A. Hicke, and A. T. Hudak. 2012. “Landscape-Scale Analysis of Aboveground Tree Carbon Stocks Affected by Mountain Pine Beetles in Idaho.” Environmental Research Letters 7 (4): 45702. doi:10.1088/1748-9326/7/4/045702.
  • Bright, Benjamin C., Jeffrey A. Hicke, and Andrew T. Hudak. 2012. “Estimating Aboveground Carbon Stocks of a Forest Affected by Mountain Pine Beetle in Idaho Using Lidar and Multispectral Imagery.” Remote Sensing of Environment 124 (September): 270–281. doi:10.1016/j.rse.2012.05.016.
  • Bright, Benjamin C., Andrew T. Hudak, Robert McGaughey, Hans-Erik Andersen, and José Negrón. 2013. “Predicting Live and Dead Tree Basal Area of Bark Beetle Affected Forests from Discrete-Return Lidar.” Canadian Journal of Remote Sensing 39 (sup1): S99–S111. doi:10.5589/m13-027.
  • Bunting, Peter, John Armston, Daniel Clewley, and Richard M. Lucas. 2013. “Sorted Pulse Data (SPD) library—Part II: A Processing Framework for LiDAR Data from Pulsed Laser Systems in Terrestrial Environments.” Computers & Geosciences 56 (July): 207–215. doi:10.1016/j.cageo.2013.01.010.
  • Evans, Jeffrey S., Andrew T. Hudak, Russ Faux, and Alistair M. S. Smith. 2009. “Discrete Return Lidar in Natural Resources: Recommendations for Project Planning, Data Processing, and Deliverables.” Remote Sensing 1 (4): 776–794. doi:10.3390/rs1040776.
  • Forsberg, DANIEL. 2011. “Automatic Bridge Detection in Airborne Laser Scanned Data.” Master of Science, Göteborg, Sweden: Chalmers University of Technology.
  • Glenn, N. F., L. P. Spaete, T. T. Sankey, D. R. Derryberry, S. P. Hardegree, and J. J. Mitchell. 2011. “Errors in LiDAR-Derived Shrub Height and Crown Area on Sloped Terrain.” Journal of Arid Environments 75 (4): 377–382. doi:10.1016/j.jaridenv.2010.11.005.
  • Glenn, Nancy F., Amy Neuenschwander, Lee A. Vierling, Lucas Spaete, Aihua Li, Douglas J. Shinneman, David S. Pilliod, Robert S. Arkle, and Susan K. McIlroy. 2016. “Landsat 8 and ICESat-2: Performance and Potential Synergies for Quantifying Dryland Ecosystem Vegetation Cover and Biomass.” Remote Sensing of Environment, Landsat 8 Science Results, 185 (November): 233–242. doi:10.1016/j.rse.2016.02.039.
  • Gould, Samuel B., Nancy F. Glenn, Temuulen T. Sankey, and James P. McNamara. 2013. “Influence of a Dense, Low-Height Shrub Species on the Accuracy of a Lidar-Derived DEM.” Photogrammetric Engineering & Remote Sensing 79 (5): 421–431. doi:10.14358/PERS.79.5.421.
  • Harpold, A. A., J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, et al. 2015. “Laser Vision: Lidar as a Transformative Tool to Advance Critical Zone Science.” Hydrol. Earth Syst. Sci. 19 (6): 2881–2897. doi:10.5194/hess-19-2881-2015.
  • Haugen, Benjamin D. 2016. “Qualitative and Quantitative Comparative Analyses of 3D LiDAR Landslide Displacement Field Measurements.” Thesis, Colorado School of Mines. Arthur Lakes Library. https://dspace.library.colostate.edu:443/handle/11124/170043.
  • Hruska, Ryan, Jessica Mitchell, Matthew Anderson, and Nancy F. Glenn. 2012. “Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle.” Remote Sensing 4 (9): 2736–2752. doi:10.3390/rs4092736.
  • Huang, H., T. Link, A. Smith, and C. Chen. 2011. “Accuracy of the LiDAR-Derived DEM in Dense Shrub Areas in Mountainous NW US.” In 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM), 373–377. doi:10.1109/ICSDM.2011.5969067.
  • Hwang, Se-Ran, Seong-Joon Kim, and Im-Pyeong Lee. 2010. “Detection of Forest Areas using Airborne LIDAR Data.” Journal of Korea Spatial Information Society 18 (3): 23–32.
  • Idrees, Mohammed Oludare, Vahideh Saeidi, Biswajeet Pradhan, and Helmi Zulhaidi Mohd Shafri. 2015. “Maximizing Urban Features Extraction from Multi-Sensor Data with Dempster-Shafer Theory and HSI Data Fusion Techniques.” ResearchGate 3 (2): 218–228.
  • Idrees, Mohammed, Helmi Zulhaidi Mohd Shafri, and Vahideh Saeidi. 2013. “IMAGING SPECTROSCOPY AND LIGHT DETECTION AND RANGING DATA FUSION FOR URBAN FEATURES EXTRACTION.” American Journal of Applied Sciences 10 (12): 1575–1585.
  • Julge, Kalev, Artu Ellmann, and Anti Gruno. 2014. “Performance Analysis of Freeware Filtering Algorithms for Determining Ground Surface from Airborne Laser Scanning Data.” Journal of Applied Remote Sensing 8 (1): 83573–83573. doi:10.1117/1.JRS.8.083573.
  • Kormos, P. R., D. Marks, C. J. Williams, H. P. Marshall, P. Aishlin, D. G. Chandler, and J. P. McNamara. 2013. “Soil, Snow, Weather, and Sub-Surface Storage Data from a Mountain Catchment in the Rain–snow Transition Zone.” Earth System Science Data Discussions 6 (2): 811–836. doi:10.5194/essdd-6-811-2013.
  • Kormos, Patrick R., Danny Marks, Frederick B. Pierson, C. Jason Williams, Stuart P. Hardegree, Scott Havens, Andrew Hedrick, Jonathan D. Bates, and Tony J. Svejcar. n.d. “Ecosystem Water Availability in Juniper versus Sagebrush Snow-Dominated Rangelands.” Rangeland Ecology & Management. doi:10.1016/j.rama.2016.05.003.
  • Krieger, Kacy E. 2012. The Topographic Form and Evolution of Thermal Erosion Features: A First Analysis Using Airborne and Ground-Based LiDAR in Arctic Alaska. Idaho State University.
  • Luo, Shezhou, Jing M. Chen, Cheng Wang, Xiaohuan Xi, Hongcheng Zeng, Dailiang Peng, and Dong Li. 2016. “Effects of LiDAR Point Density, Sampling Size and Height Threshold on Estimation Accuracy of Crop Biophysical Parameters.” Optics Express 24 (11): 11578–11593. doi:10.1364/OE.24.011578.
  • Magarick, Joshua F. 2013. “Improving Vegetation and Background Discrimination from Hyperspectral Imaging (HSI) and Light Detection and Ranging (LiDAR) Fusion Using an Added Shortwave Infrared (SWIR) HSI Component.” Thesis. http://mars.gmu.edu/handle/1920/8015.
  • Mariappan, Muneeswaran, Subbaraj Lingava, Ramalingam Murugaiyan, Vani Krishnan, Srinivasa Raju Kolanuvada, and Rama Subbu Lakshmi Thirumeni. 2012. “Carbon Accounting of Urban Forest in Chennai City Using Lidar Data.” European Journal of Scientific Research 81 (3): 314–328.
  • Mitchell, Jessica, Nancy Glenn, Matthew Anderson, and Ryan Hruska. 2016. “Flight Considerations and Hyperspectral Image Classifications for Dryland Vegetation Management from a Fixed-Wing UAS.” Environmental Management and Sustainable Development 5 (2): 41–57. doi:10.5296/emsd.v5i2.9343.
  • Mitchell, Jessica J., Nancy F. Glenn, Temuulen T. Sankey, DeWayne R. Derryberry, Matthew O. Anderson, and Ryan C. Hruska. 2011. “Small-Footprint Lidar Estimations of Sagebrush Canopy Characteristics.” Photogrammetric Engineering & Remote Sensing 77 (5): 521–530. doi:10.14358/PERS.77.5.521.
  • Mitchell, Jessica J., Rupesh Shrestha, Lucas P. Spaete, and Nancy F. Glenn. 2015. “Combining Airborne Hyperspectral and LiDAR Data across Local Sites for Upscaling Shrubland Structural Information: Lessons for HyspIRI.” Remote Sensing of Environment, Special Issue on the Hyperspectral Infrared Imager (HyspIRI), 167 (September): 98–110. doi:10.1016/j.rse.2015.04.015.
  • Montealegre, Antonio Luis, María Teresa Lamelas, and Juan de la Riva. 2015. “Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications.” Remote Sensing 7 (7): 8631–8654. doi:10.3390/rs70708631.
  • Montealegre, Antonio Luis, María Teresa Lamelas, Mihai A. Tanase, and Juan de la Riva. 2014. “Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment.” Remote Sensing 6 (5): 4240–4265. doi:10.3390/rs6054240.
  • Murgoitio, Jayson, Rupesh Shrestha, Nancy Glenn, and Lucas Spaete. 2014. “Airborne LiDAR and Terrestrial Laser Scanning Derived Vegetation Obstruction Factors for Visibility Models.” Transactions in GIS 18 (1): 147–160. doi:10.1111/tgis.12022.
  • Sankey, Joel B., Nancy F. Glenn, Matthew J. Germino, Ann Inez N. Gironella, and Glenn D. Thackray. 2010. “Relationships of Aeolian Erosion and Deposition with LiDAR-Derived Landscape Surface Roughness Following Wildfire.” Geomorphology 119 (1–2): 135–145. doi:10.1016/j.geomorph.2010.03.013.
  • Sankey, Joel B., Darin J. Law, David D. Breshears, Seth M. Munson, and Robert H. Webb. 2013. “Employing Lidar to Detail Vegetation Canopy Architecture for Prediction of Aeolian Transport.” Geophysical Research Letters 40 (9): 1724–1728. doi:10.1002/grl.50356.
  • Sankey, Joel B., Sujith Ravi, Cynthia S. A. Wallace, Robert H. Webb, and Travis E. Huxman. 2012. “Quantifying Soil Surface Change in Degraded Drylands: Shrub Encroachment and Effects of Fire and Vegetation Removal in a Desert Grassland.” Journal of Geophysical Research: Biogeosciences 117 (G2): G02025. doi:10.1029/2012JG002002.
  • Sankey, Temuulen, and Nancy Glenn. 2011. “Landsat-5 TM and Lidar Fusion for Sub-Pixel Juniper Tree Cover Estimates in a Western Rangeland.” Photogrammetric Engineering & Remote Sensing 77 (12): 1241–1248. doi:10.14358/PERS.77.12.1241.
  • Sankey, Temuulen, Rupesh Shrestha, Joel B. Sankey, Stuart Hardegree, and Eva Strand. 2013. “Lidar-Derived Estimate and Uncertainty of Carbon Sink in Successional Phases of Woody Encroachment.” Journal of Geophysical Research: Biogeosciences 118 (3): 1144–1155. doi:10.1002/jgrg.20088.
  • Sankey, Temuulen Tsagaan. 2012. “Decadal-Scale Aspen Changes: Evidence in Remote Sensing and Tree Ring Data.” Applied Vegetation Science 15 (1): no–no. doi:10.1111/j.1654-109X.2011.01141.x.
  • Sankey, Temuulen Tsagaan, and Pamela Bond. 2011. “LiDAR-Based Classification of Sagebrush Community Types.” Rangeland Ecology & Management 64 (1): 92–98. doi:10.2111/REM-D-10-00019.1.
  • Sankey, Temuulen Tsagaan, Nancy Glenn, Sara Ehinger, Alex Boehm, and Stuart Hardegree. 2010. “Characterizing Western Juniper Expansion via a Fusion of Landsat 5 Thematic Mapper and Lidar Data.” Rangeland Ecology & Management 63 (5): 514–523. doi:10.2111/REM-D-09-00181.1.
  • Sankey, Temuulen Ts., Joel B. Sankey, Rene Horne, and Ashton Bedford. 2016. “Remote Sensing of Tamarisk Biomass, Insect Herbivory, and Defoliation: Novel Methods in the Grand Canyon Region, Arizona.” Photogrammetric Engineering & Remote Sensing 82 (8): 645–652. doi:10.1016/S0099-1112(16)30104-5.
  • Schmid, T., M. Rodríguez-Rastrero, P. Escribano, A. Palacios-Orueta, E. Ben-Dor, A. Plaza, R. Milewski, et al. 2016. “Characterization of Soil Erosion Indicators Using Hyperspectral Data From a Mediterranean Rainfed Cultivated Region.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (2): 845–860. doi:10.1109/JSTARS.2015.2462125.
  • Shallcross, Alden. 2012. “LiDAR Investigations of Snow Distribution in Mountainous Terrain.” Boise State University Theses and Dissertations, December. http://scholarworks.boisestate.edu/td/349.
  • Spaete, Lucas P., Nancy F. Glenn, Dewayne R. Derryberry, Temuulen T. Sankey, Jessica J. Mitchell, and Stuart P. Hardegree. 2011. “Vegetation and Slope Effects on Accuracy of a LiDAR-Derived DEM in the Sagebrush Steppe.” Remote Sensing Letters 2 (4): 317–326. doi:10.1080/01431161.2010.515267.
  • Streutker, David R., and Nancy F. Glenn. 2006. “LiDAR Measurement of Sagebrush Steppe Vegetation Heights.” Remote Sensing of Environment 102 (1–2): 135–145. doi:10.1016/j.rse.2006.02.011.
  • Streutker, David R., Nancy F. Glenn, and Rupesh Shrestha. 2011. “A Slope-Based Method for Matching Elevation Surfaces.” Photogrammetric Engineering & Remote Sensing 77 (7): 743–750. doi:10.14358/PERS.77.7.743.
  • Tinkham, Wade T., Hongyu Huang, Alistair M. S. Smith, Rupesh Shrestha, Michael J. Falkowski, Andrew T. Hudak, Timothy E. Link, Nancy F. Glenn, and Danny G. Marks. 2011. “A Comparison of Two Open Source LiDAR Surface Classification Algorithms.” Remote Sensing 3 (3): 638–649. doi:10.3390/rs3030638.
  • Tinkham, Wade T., Alistair M. S. Smith, Hans-Peter Marshall, Timothy E. Link, Michael J. Falkowski, and Adam H. Winstral. 2014. “Quantifying Spatial Distribution of Snow Depth Errors from LiDAR Using Random Forest.” Remote Sensing of Environment 141 (February): 105–115. doi:10.1016/j.rse.2013.10.021.
  • Yamamoto, Kristina H., Rebecca L. Powell, Sharolyn Anderson, and Paul C. Sutton. 2012. “Using LiDAR to Quantify Topographic and Bathymetric Details for Sea Turtle Nesting Beaches in Florida.” Remote Sensing of Environment 125 (October): 125–133. doi:10.1016/j.rse.2012.07.016.
  • Whelley, Patrick, L., Lori S. Glaze, Eliza S. Calder, and David J. Harding. 2014. "LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis." IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,52 (1): 426-438.