Slope estimation from ICESat/GLAS

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Date
2014
Authors
Mahoney, Craig
Kljun, Natascha
Los, Sietse O.
Chasmer, Laura
Hacker, Jorg M.
Hopkinson, Christopher
North, Peter R. J.
Rosette, Jacqueline A. B.
van Gorsel, Eva
Journal Title
Journal ISSN
Volume Title
Publisher
M D P I A G
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 ( 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 0:5 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 (R2 = 0:87 and RMSE = 5:16 ) than the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) inferred slopes (R2 = 0:71 and RMSE = 8:69 ). 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.
Description
Open access
Keywords
LiDAR , Slope , Terrain , Waveform , SRTM , Biophysical parameter retrieval
Citation
Mahoney, C., Kljun, N., Los, S. O., Chasmer, L., Hacker, J. M., Hopkinson, C., ... & van Gorsel, E. (2014). Slope estimation from ICESat/GLAS. Remote Sensing, 6, 10051-10069. doi:10.3390/rs61010051