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Slope Estimation from ICESat/GLAS

Mahoney, Craig; Kljun, Natascha LU ; Los, Sietse O.; Chasmer, Laura; Hacker, Jorg M.; Hopkinson, Christopher; North, Peter R. J.; Rosette, Jacqueline A. B. and van Gorsel, Eva (2014) In Remote Sensing 6(10). p.10051-10069
Abstract
We present a novel technique to infer ground slope angle from waveform LiDAR, known as the independent slope method (ISM). The technique is applied to large footprint waveforms (similar to 60 m mean diameter) from the Ice, Cloud and Land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) to produce a slope dataset of near-global coverage at 0.5 degrees x 0.5 degrees resolution. ISM slope estimates are compared against high resolution airborne LiDAR slope measurements for nine sites across three continents. ISM slope estimates compare better with the aircraft data (R-2 = 0.87 and RMSE = 5.16 degrees) than the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) inferred slopes (R-2 = 0.71 and RMSE = 8.69... (More)
We present a novel technique to infer ground slope angle from waveform LiDAR, known as the independent slope method (ISM). The technique is applied to large footprint waveforms (similar to 60 m mean diameter) from the Ice, Cloud and Land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) to produce a slope dataset of near-global coverage at 0.5 degrees x 0.5 degrees resolution. ISM slope estimates are compared against high resolution airborne LiDAR slope measurements for nine sites across three continents. ISM slope estimates compare better with the aircraft data (R-2 = 0.87 and RMSE = 5.16 degrees) than the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) inferred slopes (R-2 = 0.71 and RMSE = 8.69 degrees). ISM slope estimates are concurrent with GLAS waveforms and can be used to correct biophysical parameters, such as tree height and biomass. They can also be fused with other DEMs, such as SRTM, to improve slope estimates. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
LiDAR, slope, terrain, waveform, SRTM, biophysical parameter retrieval
in
Remote Sensing
volume
6
issue
10
pages
10051 - 10069
publisher
MDPI AG
external identifiers
  • wos:000344458000040
  • scopus:84923605831
ISSN
2072-4292
DOI
10.3390/rs61010051
language
English
LU publication?
yes
id
4c321a92-6e52-4670-b188-b33525379d02 (old id 4871353)
date added to LUP
2015-01-07 13:49:10
date last changed
2017-09-24 04:04:54
@article{4c321a92-6e52-4670-b188-b33525379d02,
  abstract     = {We present a novel technique to infer ground slope angle from waveform LiDAR, known as the independent slope method (ISM). The technique is applied to large footprint waveforms (similar to 60 m mean diameter) from the Ice, Cloud and Land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) to produce a slope dataset of near-global coverage at 0.5 degrees x 0.5 degrees resolution. ISM slope estimates are compared against high resolution airborne LiDAR slope measurements for nine sites across three continents. ISM slope estimates compare better with the aircraft data (R-2 = 0.87 and RMSE = 5.16 degrees) than the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) inferred slopes (R-2 = 0.71 and RMSE = 8.69 degrees). ISM slope estimates are concurrent with GLAS waveforms and can be used to correct biophysical parameters, such as tree height and biomass. They can also be fused with other DEMs, such as SRTM, to improve slope estimates.},
  author       = {Mahoney, Craig and Kljun, Natascha and Los, Sietse O. and Chasmer, Laura and Hacker, Jorg M. and Hopkinson, Christopher and North, Peter R. J. and Rosette, Jacqueline A. B. and van Gorsel, Eva},
  issn         = {2072-4292},
  keyword      = {LiDAR,slope,terrain,waveform,SRTM,biophysical parameter retrieval},
  language     = {eng},
  number       = {10},
  pages        = {10051--10069},
  publisher    = {MDPI AG},
  series       = {Remote Sensing},
  title        = {Slope Estimation from ICESat/GLAS},
  url          = {http://dx.doi.org/10.3390/rs61010051},
  volume       = {6},
  year         = {2014},
}