DocumentCode
11080
Title
Multiangle Backscattering Observations of Continental Surfaces in Ku-Band (13 GHz) From Satellites: Understanding the Signals, Particularly in Arid Regions
Author
Prigent, C. ; Aires, F. ; Jimenez, C. ; Papa, Fabrice ; Roger, Jack
Author_Institution
Lab. d´Etudes du Rayonnement et de la Mater. en Astrophys., Obs. de Paris, Paris, France
Volume
53
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
1364
Lastpage
1373
Abstract
Backscattering in Ku-band (13 GHz) over continental surfaces is analyzed, with the Tropical Rainfall Measurement Mission/Precipitation Radar instruments (incidence angles from 0° to 18°), along with observations from the Topex-Poseidon nadir-looking altimeter and the QuikSCAT scatterometer (incidence angles around 50°). The signals from the three instruments are very consistent. The backscattering tends to decrease with increasing vegetation density, as expected, making it possible to classify vegetation density with active microwaves. Over the northern African desert, a very large spatial variability of the backscattering is observed, with both surface and volume scatterings contributing to the signals. The use of multiangle observations does help characterizing the desert types, but in some areas, the ambiguity of the signals is still unexplained. The French-Chinese joint mission “Chinese-French Oceanic SATellite” will carry two active microwave instruments with a large range of incidence angles, from 0° to 50°. We show that the combined use of observations at low and high incidence angles adds information, particularly over desert surfaces.
Keywords
artificial satellites; backscatter; geophysical signal processing; vegetation mapping; Chinese-French Oceanic SATellite mission; QuikSCAT scatterometer data; TRMM observations; Topex Poseidon nadir looking altimeter data; Tropical Rainfall Measurement Mission Precipitation Radar instruments; arid regions; continental surfaces; desert surfaces; multiangle backscattering observations; northern African desert; satellite observations; vegetation density classification; Backscatter; Instruments; Land surface; Radar measurements; Sea surface; Spaceborne radar; Vegetation mapping; Altimetry; radar remote sensing; surface roughness;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2014.2338913
Filename
6871311
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