Title
Characterization of soil surface roughness from terrestrial laser scanner data
Abstract
The surface roughness parameters commonly used as inputs to forest radar backscatter models are the root mean square heights (RMS) s and auto-correlation length l. These parameters were traditionally estimated from a one-dimensional surface profile with limited length. The complexity of natural surfaces makes it very difficult to explicitly describe the soil roughness. Terrestrial Laser Scanner (TLS) provides a new approach for the characterization of soil surface roughness. In this paper we address the issue of soil roughness characterization from terrestrial laser scanner data. The RMS height s was calculated using TLS data and compared with field measurements. The results showed that the proposed method can be used to make soil roughness measurement so long as the data sampling frequency was high enough. The relationship between required sampling frequency and the wave length of Microwaves was derived. In addition to the soil roughness parameters, a high resolution three dimensional digital elevation model (DEM) was constructed.
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5418106
IGARSS
Keywords
Field
DocType
terrain mapping,correlation length,signal sampling,surface roughness,1d surface profile,terrestrial laser scanner,data sampling frequency,3d digital elevation model,digital elevation models,soil surface roughness,root mean square height,remote sensing by laser beam,auto-correlation length,terrestrial laser scanner data,soil,forest radar backscatter model,rms height,backscatter,sampling frequency,sampling methods,rough surfaces,root mean square,frequency,high resolution,digital elevation model,laser radar,three dimensional
Radar,Laser scanning,Computer science,Backscatter,Remote sensing,Sampling (signal processing),Digital elevation model,Root mean square,Surface finish,Surface roughness
Conference
Volume
ISSN
ISBN
2
2153-6996
978-1-4244-3395-7
Citations 
PageRank 
References 
1
0.38
4
Authors
4
Name
Order
Citations
PageRank
Wenjian Ni13213.56
Guoqing Sun216249.24
Zhifeng Guo35313.96
Yong Pang4811.49