Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods

Abstract: The goal of this review is to present leading examples of current methodologies for extracting forest characteristics from full-waveform LiDAR data. Four key questions are addressed: (i) does full-waveform LiDAR provide advantages over discrete-return laser sensors; (ii) will full-waveform LiDAR provide valid results in support of forest inventory operations and allow for a decrease in ground sampling efforts; (iii) is the use of full-waveform LiDAR data cost effective; and (iv) what is the scope of the applied methods (i.e., is full-waveform LiDAR accurate for different forest compositions, structures, and densities, and is it sensitive to leaf-off/leaf-on conditions)? Key forest structure characteristics can be estimated with significant accuracy using full-waveform metrics, although methodologies and their corresponding accuracies differ. For example, some processing methods are valid at the plot scale, whereas other procedures perform well at the regional scale; to be effective, certain LiDAR data analyses require a minimum point density, whereas other methods perform well using large-footprint sensors. Therefore, it is important to match processing methods with the appropriate scale and scope. The aim of this paper is to provide the forest research community and remote sensing technology developers with an overview of existing methods for inferring key forest characteristics, including their applicability and performance.

[1]  J. Reitberger,et al.  3D segmentation of single trees exploiting full waveform LIDAR data , 2009 .

[2]  J. Reitberger,et al.  Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees , 2008 .

[3]  Michael Schluse,et al.  Cost-Efficient Semi-Automatic Forest Inventory Integrating Large Scale Remote Sensing Technologies with Goal-Oriented Manual Quality Assurance Processes , 2009 .

[4]  W. Cohen,et al.  Geographic variability in lidar predictions of forest stand structure in the Pacific Northwest , 2005 .

[5]  S. Durrieu,et al.  Advanced full-waveform lidar data echo detection: Assessing quality of derived terrain and tree height models in an alpine coniferous forest , 2009 .

[6]  R. Dubayah,et al.  Lidar Remote Sensing for Forestry , 2000, Journal of Forestry.

[7]  W. Walker,et al.  Mapping forest structure for wildlife habitat analysis using waveform lidar: Validation of montane ecosystems , 2005 .

[8]  Frédéric Bretar,et al.  Full-waveform topographic lidar : State-of-the-art , 2009 .

[9]  Guoqing Sun,et al.  Inversion of a lidar waveform model for forest biophysical parameter estimation , 2006, IEEE Geoscience and Remote Sensing Letters.

[10]  William Puech,et al.  Processing full-waveform lidar data in an alpine coniferous forest: assessing terrain and tree height quality , 2009 .

[11]  R. Dubayah,et al.  Estimation of tropical forest structural characteristics using large-footprint lidar , 2002 .

[12]  M. Flood,et al.  LiDAR remote sensing of forest structure , 2003 .

[13]  Francesco Pirotti,et al.  IceSAT/GLAS Waveform Signal Processing for Ground Cover Classification: State of the Art , 2010 .

[14]  W. Cohen,et al.  Lidar remote sensing of above‐ground biomass in three biomes , 2002 .

[15]  J. Means.  Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon , 1999 .

[16]  M. Lefsky,et al.  Laser altimeter canopy height profiles: methods and validation for closed-canopy, broadleaf forests , 2001 .

[17]  J. Reitberger,et al.  COMBINED TREE SEGMENTATION AND STEM DETECTION USING FULL WAVEFORM LIDAR DATA , 2007 .

[18]  W. Wagner,et al.  3D vegetation mapping using small‐footprint full‐waveform airborne laser scanners , 2008 .

[19]  P. Corona.  Integration of forest mapping and inventory to support forest management , 2010 .

[20]  W. Wagner,et al.  Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner , 2006 .

[21]  G. Vosselman,et al.  Single and two epoch analysis of ICESat full waveform data over forested areas , 2008 .

[22]  J. Blair,et al.  The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography , 1999 .

[23]  Uwe Stilla,et al.  BENEFIT OF AIRBORNE FULL WAVEFORM LIDAR FOR 3D SEGMENTATION AND CLASSIFICATION OF SINGLE TREES , 2009 .

[24]  Uwe Stilla,et al.  Range determination with waveform recording laser systems using a Wiener Filter , 2006 .

[25]  H. Zwally.  ICESat's Laser Measurements of Polar Ice and Atmospheres , 2003 .

[26]  E. Næsset.  Practical large-scale forest stand inventory using a small-footprint airborne scanning laser , 2004 .

[27]  Yong Pang,et al.  Forest LAI estimation comparison using LiDAR and hyperspectral data in boreal and temperate forests , 2009, Optical Engineering + Applications.

[28]  W. Cohen,et al.  Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests , 1999 .

[29]  R. Dubayah,et al.  Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest , 2008 .

[30]  David J. Harding,et al.  Light transmittance in forest canopies determined using airborne laser altimetry and in-canopy quantum measurements , 2001 .

[31]  Robert G. Knox,et al.  The use of waveform lidar to measure northern temperate mixed conifer and deciduous forest structure in New Hampshire , 2006 .