Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6721232 | IGARSS |
Keywords | Field | DocType |
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,Photon counting,ice,lidar,snow | Spaceborne radar,Meteorology,Computer science,Remote sensing,Terrain,Lidar,Elevation,Optical radar,Reflectivity,Detector,Snow | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.38 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John P. Kerekes | 1 | 194 | 35.38 |
| Jiashu Zhang | 2 | 1122 | 75.03 |
| Adam Goodenough | 3 | 3 | 1.58 |
| Scott Brown | 4 | 12 | 3.25 |