1,059
Views
26
CrossRef citations to date
0
Altmetric
Articles

Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery

, &
Pages 307-323 | Received 24 May 2016, Accepted 18 Aug 2016, Published online: 09 Sep 2016

References

  • Alvarez, Otto, Qinghua Guo, Robert C. Klinger, Wenkai Li, and Paul Doherty. 2014. “Comparison of Elevation and Remote Sensing Derived Products as Auxiliary Data for Climate Surface Interpolation.” International Journal of Climatology 34 (7): 2258–2268. doi: 10.1002/joc.3835
  • Andersen, Hans-Erik, Robert J. McGaughey, and Stephen E. Reutebuch. 2005. “Estimating Forest Canopy Fuel Parameters Using LIDAR Data.” Remote Sensing of Environment 94 (4): 441–449. doi: 10.1016/j.rse.2004.10.013
  • Andersen, Hans-Erik, Stephen E. Reutebuch, and Robert J. McGaughey. 2006. “A Rigorous Assessment of Tree Height Measurements Obtained Using Airborne Lidar and Conventional Field Methods.” Canadian Journal of Remote Sensing 32 (5): 355–366. doi: 10.5589/m06-030
  • Baccini, A., N. Laporte, S. J. Goetz, M. Sun, and H. Dong. 2008. “A First Map of Tropical Africa’s Above-ground Biomass Derived from Satellite Imagery.” Environmental Research Letters 3 (4): 045011. doi: 10.1088/1748-9326/3/4/045011
  • Baghdadi, Nicolas, Guerric Le Maire, Ibrahim Fayad, JeanStéphane Bailly, Yann Nouvellon, Cristiane Lemos, and Rodrigo Hakamada. 2014. “Testing Different Methods of Forest Height and Aboveground Biomass Estimations from ICESat/GLAS Data in Eucalyptus Plantations in Brazil.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (1): 290–299. doi: 10.1109/JSTARS.2013.2261978
  • Bales, Roger C., John J. Battles, Yihsu Chen, Martha H. Conklin, Eric Holst, Kevin L. O’Hara, Philip Saksa, and William Stewart. 2011. “Forests and Water in the Sierra Nevada: Sierra Nevada Watershed Ecosystem Enhancement Project.” In Sierra Nevada Research Institute report, 2–5. Merced, CA: Sierra Nevada Research Institute.
  • Barbour, Michael G., and William Dwight Billings. 2000. North American Terrestrial Vegetation. Cambridge: Cambridge University Press.
  • Berigan, William J, R. J. Gutiérrez, and Douglas J. Tempel. 2012. “Evaluating the Efficacy of Protected Habitat Areas for the California Spotted Owl Using Long-term Monitoring Data.” Journal of Forestry 110 (6): 299–303. doi: 10.5849/jof.11-018
  • Bourgine, Bernard, and Nicolas Baghdadi. 2005. “Assessment of C-band SRTM DEM in a Dense Equatorial Forest Zone.” Comptes Rendus Geoscience 337 (14): 1225–1234. doi: 10.1016/j.crte.2005.06.006
  • Breiman, Leo. 2001. “Random Forests.” Machine learning 45 (1): 5–32. doi: 10.1023/A:1010933404324
  • Clark, Matthew L., David B. Clark, and Dar A. Roberts. 2004. “Small-footprint LiDAR Estimation of Sub-canopy Elevation and Tree Height in a Tropical Rain Forest Landscape.” Remote Sensing of Environment 91 (1): 68–89. doi: 10.1016/j.rse.2004.02.008
  • Coops, Nicholas C., Thomas Hilker, Michael A. Wulder, Benoît St-Onge, Glenn Newnham, Anders Siggins, and J. A. Tony Trofymow. 2007. “Estimating Canopy Structure of Douglas-fir Forest Stands from Discrete-return LiDAR.” Trees 21 (3): 295–310. doi: 10.1007/s00468-006-0119-6
  • Donoghue, D. N. M., and P. J. Watt. 2006. “Using LiDAR to Compare Forest Height Estimates from IKONOS and Landsat ETM+ data in Sitka Spruce Plantation Forests.” International Journal of Remote Sensing 27 (11): 2161–2175. doi: 10.1080/01431160500396493
  • Duncanson, L. I., K. O. Niemann, and M. A. Wulder. 2010. “Estimating Forest Canopy Height and Terrain Relief from GLAS Waveform Metrics.” Remote Sensing of Environment 114 (1): 138–154. doi: 10.1016/j.rse.2009.08.018
  • Guo, Qinghua, Wenkai Li, Hong Yu, and Otto Alvarez. 2010. “Effects of Topographic Variability and Lidar Sampling Density on Several DEM Interpolation Methods.” Photogrammetric Engineering and Remote Sensing 76 (6): 701–712. doi: 10.14358/PERS.76.6.701
  • Hall, S. A., I. C. Burke, D. O. Box, M. R. Kaufmann, and J. M. Stoker. 2005. “Estimating Stand Structure Using Discrete-return LiDAR: An Example from Low Density, Fire Prone Ponderosa Pine Forests.” Forest Ecology and Management 208 (1): 189–209. doi: 10.1016/j.foreco.2004.12.001
  • Hall, R. J., R. S. Skakun, E. J. Arsenault, and B. S. Case. 2006. “Modeling Forest Stand Structure Attributes Using Landsat ETM+ Data: Application to Mapping of Aboveground Biomass and Stand Volume.” Forest Ecology and Management 225 (1): 378–390. doi: 10.1016/j.foreco.2006.01.014
  • Jakubowksi, Marek K., Qinghua Guo, Brandon Collins, Scott Stephens, and Maggi Kelly. 2013. “Predicting Surface Fuel Models and Fuel Metrics Using Lidar and CIR Imagery in a Dense, Mountainous Forest.” Photogrammetric Engineering & Remote Sensing 79 (1): 37–49. doi: 10.14358/PERS.79.1.37
  • Kellndorfer, J., W. Walker, E. LaPoint, J. Bishop, T. Cormier, G. Fiske, M. Hoppus, K. Kirsch, and J. Westfall. 2012. “NACP Aboveground Biomass and Carbon Baseline Data (NBCD 2000), U.S.A., 2000: Dataset 2012.” ORNL DAAC, Oak Ridge, Tennessee. http://daac.ornl.gov.
  • Leckie, Don, François Gougeon, David Hill, Rick Quinn, Lynne Armstrong, and Roger Shreenan. 2003. “Combined High-density Lidar and Multispectral Imagery for Individual Tree Crown Analysis.” Canadian Journal of Remote Sensing 29 (5): 633–649. doi: 10.5589/m03-024
  • Lefsky, Michael A. 2010. “A Global Forest Canopy Height Map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System.” Geophysical Research Letters 37 (15): L15401. doi: 10.1029/2010GL043622
  • Lefsky, Michael A., David J. Harding, Michael Keller, Warren B. Cohen, Claudia C. Carabajal, Fernando Del Bom Espirito-Santo, Maria O. Hunter, and Raimundo de Oliveira. 2005. “Estimates of Forest Canopy Height and Aboveground Biomass Using ICESat.” Geophysical Research Letters 32 (22): L22S02. doi: 10.1029/2005GL023971
  • Lefsky, Michael A., Michael Keller, Yong Pang, Plinio B. De Camargo, and Maria O. Hunter. 2007. “Revised Method for Forest Canopy Height Estimation from Geoscience Laser Altimeter System Waveforms.” Journal of Applied Remote Sensing 1 (1): 013537. doi: 10.1117/1.2795724
  • Liaw, Andy, and Matthew Wiener. 2002. “Classification and Regression by RandomForest.” R News 2 (3): 18–22.
  • Lim, Kevin S., and Paul M. Treitz. 2004. “Estimation of Above Ground Forest Biomass from Airborne Discrete Return Laser Scanner Data Using Canopy-based Quantile Estimators.” Scandinavian Journal of Forest Research 19 (6): 558–570. doi: 10.1080/02827580410019490
  • Los, S. O., J. A. B. Rosette, Natascha Kljun, P. R. J. North, Laura Chasmer, J. C. Suárez, Chris Hopkinson, et al. 2012. “Vegetation Height and Cover Fraction Between 60 S and 60 N from ICESat GLAS Data.” Geoscientific Model Development 5 (2): 413–432. doi: 10.5194/gmd-5-413-2012
  • Lu, Dengsheng. 2006. “The Potential and Challenge of Remote Sensing-based Biomass Estimation.” International Journal of Remote Sensing 27 (7): 1297–1328. doi: 10.1080/01431160500486732
  • Lu, Dengsheng, Paul Mausel, Eduardo Brondızio, and Emilio Moran. 2004. “Relationships Between Forest Stand Parameters and Landsat TM Spectral Responses in the Brazilian Amazon Basin.” Forest Ecology and Management 198 (1): 149–167. doi: 10.1016/j.foreco.2004.03.048
  • Martinuzzi, Sebastián, Lee A. Vierling, William A. Gould, Michael J. Falkowski, Jeffrey S. Evans, Andrew T. Hudak, and Kerri T. Vierling. 2009. “Mapping Snags and Understory Shrubs for a LiDAR-based Assessment of Wildlife Habitat Suitability.” Remote Sensing of Environment 113 (12): 2533–2546. doi: 10.1016/j.rse.2009.07.002
  • Matthews, Sean M., J. Mark Higley, John T. Finn, Kerry M. Rennie, Craig M. Thompson, Kathryn L. Purcell, Rick. A Sweitzer, Sandra L. Haire, Paul R. Sievert, and Todd K. Fuller. 2013. “An Evaluation of a Weaning Index for Wild Fishers (Pekania [Martes] pennanti) in California.” Journal of Mammalogy 94 (5): 1161–1168. doi: 10.1644/12-MAMM-A-249.1
  • McCombs, John W., Scott D. Roberts, and David L. Evans. 2003. “Influence of Fusing Lidar and Multispectral Imagery on Remotely Sensed Estimates of Stand Density and Mean Tree Height in a Managed Loblolly Pine Plantation.” Forest Science 49 (3): 457–466.
  • Morsdorf, Felix, Benjamin Kötz, Erich Meier, K. I. Itten, and Britta Allgöwer. 2006. “Estimation of LAI and Fractional Cover from Small Footprint Airborne Laser Scanning Data Based on Gap Fraction.” Remote Sensing of Environment 104 (1): 50–61. doi: 10.1016/j.rse.2006.04.019
  • Naesset, Erik. 1997. “Determination of Mean Tree Height of Forest Stands Using Airborne Laser Scanner Data.” ISPRS Journal of Photogrammetry and Remote Sensing 52 (2): 49–56. doi: 10.1016/S0924-2716(97)83000-6
  • Næsset, Erik, and Tonje Økland. 2002. “Estimating Tree Height and Tree Crown Properties Using Airborne Scanning Laser in a Boreal Nature Reserve.” Remote Sensing of Environment 79 (1): 105–115. doi: 10.1016/S0034-4257(01)00243-7
  • Nelson, Ross, William Krabill, and Gordon MacLean. 1984. “Determining Forest Canopy Characteristics Using Airborne Laser Data.” Remote Sensing of Environment 15 (3): 201–212. doi: 10.1016/0034-4257(84)90031-2
  • Nilsson, Mats. 1996. “Estimation of Tree Heights and Stand Volume Using an Airborne Lidar System.” Remote Sensing of Environment 56 (1): 1–7. doi: 10.1016/0034-4257(95)00224-3
  • Popescu, Sorin C., Randolph H. Wynne, and Ross F. Nelson. 2002. “Estimating Plot-level Tree Heights with Lidar: Local Filtering with a Canopy-height Based Variable Window Size.” Computers and Electronics in Agriculture 37 (1): 71–95. doi: 10.1016/S0168-1699(02)00121-7
  • Popescu, Sorin C., Kaiguang Zhao, Amy Neuenschwander, and Chinsu Lin. 2011. “Satellite Lidar vs. Small Footprint Airborne Lidar: Comparing the Accuracy of Aboveground Biomass Estimates and Forest Structure Metrics at Footprint Level.” Remote Sensing of Environment 115 (11): 2786–2797. doi: 10.1016/j.rse.2011.01.026
  • Saatchi, Sassan S., Nancy L. Harris, Sandra Brown, Michael Lefsky, Edward TA Mitchard, William Salas, Brian R. Zutta, et al. 2011. “Benchmark Map of Forest Carbon Stocks in Tropical Regions Across three Continents.” Proceedings of the National Academy of Sciences, 108 (24): 9899–9904. doi: 10.1073/pnas.1019576108
  • Schutz, B. E., H. J. Zwally, C. A. Shuman, D. Hancock, and J. P. DiMarzio. 2005. “Overview of the ICESat Mission.” Geophysical Research Letters 32 (21): L21S01. doi: 10.1029/2005GL024009
  • Simard, Marc, Naiara Pinto, Joshua B. Fisher, and Alessandro Baccini. 2011. “Mapping Forest Canopy Height Globally with Spaceborne Lidar.” Journal of Geophysical Research: Biogeosciences (2005–2012) 116 (G4): G04021. doi: 10.1029/2011JG001708
  • Stephens, Scott L., ConstanceI Millar, and Brandon M. Collins. 2010. “Operational Approaches to Managing Forests of the Future in Mediterranean Regions within a Context of Changing Climates.” Environmental Research Letters 5 (2): 024003. doi: 10.1088/1748-9326/5/2/024003
  • Su, Yanjun, and Qinghua Guo. 2014. “A Practical Method for SRTM DEM Correction Over Vegetated Mountain Areas.” ISPRS Journal of Photogrammetry and Remote Sensing 87: 216–228. doi: 10.1016/j.isprsjprs.2013.11.009
  • Su, Yanjun, Qinghua Guo, Brandon M. Collions, Danny L. Fry, Tianyu Hu, and Maggi Kelly. 2016. “Forest Fuel Treatment Detection Using Multi-temporal Airborne Lidar Data and High-resolution Aerial Imagery: A Case Study in the Sierra Nevada Mountains, California.” International Journal of Remote Sensing 37 (14): 3322–3345. doi: 10.1080/01431161.2016.1196842
  • Su, Yanjun, Qinghua Guo, Qin Ma, and Wenkai Li. 2015. “SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery.” Remote Sensing 7 (9): 11202–11225. doi: 10.3390/rs70911202
  • Su, Yanjun, Qinghua Guo, Baolin Xue, Tianyu Hu, Otto Alvarez, Sshengli Tao, and Jingyun Fang. 2016. “Spatial Distribution of Forest Aboveground Biomass in China: Estimation Through Combination of Spaceborne Lidar, Optical Imagery, and Forest Inventory Data.” Remote Sensing of Environment 173 (2): 187–199. doi: 10.1016/j.rse.2015.12.002
  • Suárez, Juan C., Carlos Ontiveros, Steve Smith, and Stewart Snape. 2005. “Use of Airborne LiDAR and Aerial Photography in the Estimation of Individual Tree Heights in Forestry.” Computers & Geosciences 31 (2): 253–262. doi: 10.1016/j.cageo.2004.09.015
  • Tang, Hao, Matthew Brolly, Feng Zhao, Alan H. Strahler, Crystal L. Schaaf, Sangram Ganguly, Gong Zhang, and Ralph Dubayah. 2014. “Deriving and Validating Leaf Area Index (LAI) at Multiple Spatial Scales Through Lidar Remote Sensing: A Case Study in Sierra National Forest, CA.” Remote Sensing of Environment 143 (3): 131–141. doi: 10.1016/j.rse.2013.12.007
  • Thomas, V., P. Treitz, J. H. McCaughey, and I. Morrison. 2006. “Mapping Stand-level Forest Biophysical Variables for a Mixedwood Boreal Forest Using Lidar: An Examination of Scanning Density.” Canadian Journal of Forest Research 36 (1): 34–47. doi: 10.1139/x05-230
  • Vierling, Kerri T., Lee A. Vierling, William A. Gould, Sebastian Martinuzzi, and Rick M. Clawges. 2008. “Lidar: Shedding New Light on Habitat Characterization and Modeling.” Frontiers in Ecology and the Environment 6 (2): 90–98. doi: 10.1890/070001
  • Wang, Quan, Samuel Adiku, John Tenhunen, and André Granier. 2005. “On the Relationship of NDVI with Leaf Area Index in a Deciduous Forest Site.” Remote Sensing of Environment 94 (2): 244–255. doi: 10.1016/j.rse.2004.10.006
  • Wensel, Lee C., Walter J. Meerschaert, and Greg S. Biging. 1987. “Tree Height and Diameter Growth Models for Northern California Conifers.” Hilgardia 55 (8): 1–20.
  • Wilkes, Phil, Simon Jones, Lola Suarez, Andrew Mellor, William Woodgate, Mariela Soto-Berelov, Andrew Haywood, and Andrew Skidmore. 2015. “Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data.” Remote Sensing 7 (9): 12563. doi: 10.3390/rs70912563
  • Wing, Brian M., Martin W. Ritchie, Kevin Boston, Warren B. Cohen, and Michael J. Olsen. 2015. “Individual Snag Detection Using Neighborhood Attribute Filtered Airborne Lidar Data.” Remote Sensing of Environment 163: 165–179. doi: 10.1016/j.rse.2015.03.013
  • Woodall, Christopher, Vicente J. Monleon-Moscardo, and Forest Inventory. 2008. “Sampling Protocol, Estimation, and Analysis Procedures for the Down Woody Materials Indicator of the FIA Program.”
  • Zhang, Gong, Sangram Ganguly, Ramakrishna R. Nemani, Michael A. White, Cristina Milesi, Hirofumi Hashimoto, Weile Wang, Sassan Saatchi, Yifan Yu, and Ranga B. Myneni. 2014. “Estimation of Forest Aboveground Biomass in California Using Canopy Height and Leaf Area Index Estimated from Satellite Data.” Remote Sensing of Environment 151: 44–56. doi: 10.1016/j.rse.2014.01.025
  • Zhao, Feng, Qinghua Guo, and Maggi Kelly. 2012. “Allometric Equation Choice Impacts Lidar-based Forest Biomass Estimates: A Case Study from the Sierra National Forest, CA.” Agricultural and Forest Meteorology 165: 64–72. doi: 10.1016/j.agrformet.2012.05.019
  • Zhao, Kaiguang, and Sorin Popescu. 2009. “Lidar-based Mapping of Leaf Area Index and its Use for Validating GLOBCARBON Satellite LAI Product in a Temperate Forest of the Southern USA.” Remote Sensing of Environment 113 (8): 1628–1645. doi: 10.1016/j.rse.2009.03.006

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.