DocumentCode
575998
Title
Modeling of als intensity behavior as a function of incidence angle for coastal zone surface study
Author
Poullain, Emilie ; Garestier, Franck ; Bretel, Patrice ; Levoy, Franck
Author_Institution
Lab. M2C, Univ. de Caen-Basse Normandie, Caen, France
fYear
2012
fDate
22-27 July 2012
Firstpage
2849
Lastpage
2852
Abstract
Backscatter intensity of the LiDAR, recorded simultaneously with the discrete topography measurements, was recently investigated, providing complementary information to study coastal environments. The aim of this study was (i) to analyze the intensity-incidence angle behavior for coastal environments (sea and moist sand surfaces) and other surfaces (fields and urban area) with different reflectance models and (ii) to choose the best modeling for all these surfaces. We compared three reflection models. Firstly, diffuse reflection is introduced by Lambert´s cosine law. The illuminated surfaces are composed of numerous small mirror-like facets inducing a dominant specular diffusion. This scattering of micro-facets is defined by the Beckmann distribution. The last model is a combination of diffuse and specular reflection. In this paper, we found that Beckmann distribution well simulates the intensity-incidence behavior for specular and diffuse mechanisms with the advantage to have only one parameter to characterize the studied surfaces.
Keywords
bathymetry; moisture; oceanographic techniques; remote sensing by laser beam; sand; statistical distributions; ALS intensity behavior; Beckmann distribution; LIDAR; Lambert cosine law; backscatter intensity; coastal zone surface study; diffuse reflection; discrete topography measurement; intensity-incidence angle behavior; moist sand surfaces; reflectance models; sea surfaces; specular diffusion; Reflection; Rough surfaces; Sea measurements; Sea surface; Surface morphology; Surface roughness; Surface topography; Beckmann model; LiDAR; coastal environment; incidence angle; intensity;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350838
Filename
6350838
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