DocumentCode
3024158
Title
Theoretical modeling of lidar return phenomenology from snow and ice surfaces
Author
Kerekes, J. ; Zhang, Juyong ; Goodenough, Adam ; Brown, Shannon
Author_Institution
Chester F. Carlson Center for Imaging Sci., Rochester Inst. of Technol., Rochester, NY, USA
fYear
2013
fDate
21-26 July 2013
Firstpage
616
Lastpage
619
Abstract
To advance the science of lidar sensing of complex ice and snow surfaces as well as in support of the upcoming ICESat- 2 mission, this paper establishes a framework to theoretically study a spaceborne micropulselidar returns from snow and ice surfaces. First, the anticipated lidar return characteristics for a sloped non-penetrating surface is studied when measured by a multiple-channel photon-counting detector. Second, an analytical snow reflectance model based on experimental observations is applied in synthetic scene. Based on the simulation results, the spaceborne photon-counting lidar system considered here is seen to have moderate detectability on snow surfaces. In addition, for the penetrating snow model considered here, it is shown that slightly sloped snow terrain with larger snow grain size will result in smaller elevation bias.
Keywords
grain size; ice; optical radar; photon counting; remote sensing by laser beam; remote sensing by radar; snow; spaceborne radar; ICESat-2 mission; analytical snow reflectance model; complex ice surfaces; complex snow surfaces; detectability; elevation bias; lidar return characteristics; lidar return phenomenology; lidar sensing; multiple-channel photon-counting detector; sloped nonpenetrating surface; sloped snow terrain; snow grain size; spaceborne micropulselidar returns; spaceborne photon-counting lidar system; synthetic scene; Detectors; Ice; Laser modes; Laser radar; Photonics; Snow; Surface emitting lasers; Photon counting; ice; lidar; snow;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6721232
Filename
6721232
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