A revised terrain correction method for forest canopy height estimation using ICESat/GLAS data

Abstract Although spaceborne Geoscience Laser Altimeter System (GLAS) can measure forest canopy height directly, the measurement accuracy is often affected by footprint size, shape and orientation, and terrain slope. Previous terrain correction methods only took into account the effect of terrain slope and footprint size when estimating forest canopy height. In this study, an improved terrain correction method was proposed to remove the effect of all aforementioned factors when estimating canopy height over sloped terrains. The revised method was found significantly better than the traditional ones according to the canopy height tested using small footprint LiDAR data in China. It reduced the RMSE of the canopy height estimates by up to 1.2 m. The effect of slope on canopy height estimation is almost eliminated by the proposed method since the slope had little correlation with the canopy heights estimated by revised method. When the footprint eccentricity is small, the canopy height error due to the footprint shape and orientation is small. However, when the footprint eccentricity is large enough, the height estimation error due to footprint shape and orientation is large. Therefore, it is necessary to take into account the influence of footprint shape and orientation on forest canopy estimation.

[1]  Wenge Ni-Meister,et al.  Modeling lidar waveforms in heterogeneous and discrete canopies , 2001, IEEE Trans. Geosci. Remote. Sens..

[2]  Bob E. Schutz,et al.  ICESat Altimetry Data Product Verification at White Sands Space Harbor , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Michael A. Wulder,et al.  Estimating forest canopy height and terrain relief from GLAS waveform metrics , 2010 .

[4]  R. Dubayah,et al.  Large-scale retrieval of leaf area index and vertical foliage profile from the spaceborne waveform lidar (GLAS/ICESat) , 2014 .

[5]  Wen Liu,et al.  Synergistic Use of Satellite Laser Altimetry and Shuttle Radar Topography Mission DEM for Estimating Ground Elevation Over Mountainous Vegetated Areas , 2013, IEEE Geoscience and Remote Sensing Letters.

[6]  J. Bailly,et al.  Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near‐infrared and green signals , 2010 .

[7]  Johannes Heinzel,et al.  Accuracy of vegetation height and terrain elevation derived from ICESat/GLAS in forested areas , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[8]  Xiaohuan Xi,et al.  Wavelet Analysis for ICESat/GLAS Waveform Decomposition and Its Application in Average Tree Height Estimation , 2013, IEEE Geoscience and Remote Sensing Letters.

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

[10]  Heiko Balzter,et al.  Retrieval of Savanna Vegetation Canopy Height from ICESat-GLAS Spaceborne LiDAR With Terrain Correction , 2013, IEEE Geoscience and Remote Sensing Letters.

[11]  R. Valentini,et al.  Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data , 2014 .

[12]  S. Popescu,et al.  Satellite lidar vs. small footprint airborne lidar: Comparing the accuracy of aboveground biomass estimates and forest structure metrics at footprint level , 2011 .

[13]  Jadunandan Dash,et al.  A novel approach to estimate canopy height using ICESat/GLAS data: A case study in the New Forest National Park, UK , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[14]  Christiane Schmullius,et al.  Influence of Surface Topography on ICESat/GLAS Forest Height Estimation and Waveform Shape , 2012, Remote. Sens..

[15]  W. Cohen,et al.  Estimates of forest canopy height and aboveground biomass using ICESat , 2005 .

[16]  Wenze Yang,et al.  Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA , 2011 .

[17]  K. Ranson,et al.  Forest vertical structure from GLAS : An evaluation using LVIS and SRTM data , 2008 .

[18]  P. Axelsson.  DEM Generation from Laser Scanner Data Using Adaptive TIN Models , 2000 .

[19]  Nicholas C. Coops,et al.  Using Small-Footprint Discrete and Full-Waveform Airborne LiDAR Metrics to Estimate Total Biomass and Biomass Components in Subtropical Forests , 2014, Remote. Sens..

[20]  Guang Zheng,et al.  Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors , 2009, Sensors.

[21]  Natascha Kljun,et al.  Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data , 2012 .

[22]  A. Neuenschwander,et al.  Characterization of ICESat/GLAS waveforms over terrestrial ecosystems: Implications for vegetation mapping , 2008 .

[23]  Peter R. J. North,et al.  Vegetation height estimates for a mixed temperate forest using satellite laser altimetry , 2008 .

[24]  N. Coops,et al.  Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests , 2003 .

[25]  Nicolas Baghdadi,et al.  Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[26]  M. Nieuwenhuis,et al.  Retrieval of forest structural parameters using LiDAR remote sensing , 2010, European Journal of Forest Research.

[27]  W. Featherstone,et al.  Comparison and validation of the recent freely available ASTER-GDEM ver1, SRTM ver4.1 and GEODATA DEM-9S ver3 digital elevation models over Australia , 2010 .

[28]  Michael A. Lefsky,et al.  Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms , 2007 .

[29]  Peter R. J. North,et al.  A comparison of biophysical parameter retrieval for forestry using airborne and satellite LiDAR , 2009 .

[30]  Wenze Yang,et al.  Assessment of the impacts of surface topography, off-nadir pointing and vegetation structure on vegetation lidar waveforms using an extended geometric optical and radiative transfer model , 2011 .

[31]  Francesco Pirotti,et al.  Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods , 2011 .

[32]  P. Gong,et al.  Earth science applications of ICESat/GLAS: a review , 2011 .

[33]  Sylvie Durrieu,et al.  A New Method for Incorporating Hillslope Effects to Improve Canopy-Height Estimates From Large-Footprint LIDAR Waveforms , 2012, IEEE Geoscience and Remote Sensing Letters.

[34]  Yoshiki Yamagata,et al.  Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan , 2013 .

[35]  Guoqing Sun,et al.  Forest biomass mapping from lidar and radar synergies , 2011 .

[36]  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 .

[37]  S. Ganguly,et al.  Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data , 2014 .

[38]  M. Lefsky,et al.  Impact of footprint diameter and off-nadir pointing on the precision of canopy height estimates from spaceborne lidar , 2011 .

[39]  Michael A. Lefsky,et al.  Modeling canopy height in a savanna ecosystem using spaceborne lidar waveforms , 2014 .

[40]  Michael A. Lefsky,et al.  Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data , 2008 .

[41]  Qi Chen.  Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry , 2010 .