Synergistic Use of Satellite Laser Altimetry and Shuttle Radar Topography Mission DEM for Estimating Ground Elevation Over Mountainous Vegetated Areas

Topography is fundamental to numerous environmental studies for understanding Earth surface processes. With a near global coverage, satellite lidar Geoscience Laser Altimeter System (GLAS) onboard Ice, Cloud, and land Elevation Satellite (ICESat) provides valuable terrain elevation information via Gaussian decomposition of its waveforms. It is commonly assumed that the lowest decomposed Gaussian peak corresponds to terrain surface. Although this assumption is valid over flat areas with sparse canopy, it might be problematic over sloped areas with surface objects. This letter proposes a new algorithm to estimate ground elevation over mountainous vegetated areas using GLAS data in conjunction with Shuttle Radar Topographic Mission Digital Elevation Models (SRTM DEMs). It was found that incorporating SRTM DEM can reduce the bias of the mean ground elevation estimates by up to 1-3 m. This letter also suggests that more research is needed for improving ground elevation estimates over mountainous areas with relatively open canopy.

[1]  M. Simard,et al.  A systematic method for 3D mapping of mangrove forests based on Shuttle Radar Topography Mission elevation data, ICEsat/GLAS waveforms and field data: Application to Ciénaga Grande de Santa Marta, Colombia , 2008 .

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

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

[4]  M. Lefsky.  A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System , 2010 .

[5]  K. Burnett,et al.  Comparison of Digital Elevation Models for Aquatic Data Development , 2003 .

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

[7]  A. Baccini,et al.  Mapping forest canopy height globally with spaceborne lidar , 2011 .

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

[9]  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 .

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

[11]  Norbert Pfeifer,et al.  ICESat Full-Waveform Altimetry Compared to Airborne Laser Scanning Altimetry Over The Netherlands , 2009, IEEE Transactions on Geoscience and Remote Sensing.

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

[13]  H. Zwally,et al.  Derivation of Range and Range Distributions From Laser Pulse Waveform Analysis for Surface Elevations, Roughness, Slope, and Vegetation Heights , 2012 .

[14]  D. Harding,et al.  ICESat waveform measurements of within‐footprint topographic relief and vegetation vertical structure , 2005 .

[15]  Enrique R. Vivoni,et al.  Understanding earth surface processes from remotely sensed digital terrain models , 2009 .

[16]  Qi Chen.  Assessment of terrain elevation derived from satellite laser altimetry over mountainous forest areas using airborne lidar data , 2010 .

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

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

[19]  P. J. Whiting,et al.  Factors Affecting Accuracy of Stream Channel Slope Estimates Derived from Geographical Information Systems , 2008 .

[20]  J. Bryan Blair,et al.  Decomposition of laser altimeter waveforms , 2000, IEEE Trans. Geosci. Remote. Sens..

[21]  Qi Chen.  Airborne Lidar Data Processing and Information Extraction , 2007 .