DocumentCode
56038
Title
Seasonality in the Angular Dependence of ASAR Wide Swath Backscatter
Author
Van doninck, Jasper ; Wagner, Wolfgang ; Melzer, Thomas ; De Baets, Bernard ; Verhoest, Niko E. C.
Author_Institution
Dept. of Forest & Water Manage., Ghent Univ., Ghent, Belgium
Volume
11
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
1423
Lastpage
1427
Abstract
The analysis of multitemporal synthetic aperture radar (SAR) images requires normalization to a common incidence angle when the images are acquired in varying view geometry. The dependence of radar backscatter on the incidence angle is known to vary with vegetation cover and will therefore change throughout the year. This letter tries to quantify the effect of neglecting this seasonal variability in an empirical incidence angle normalization for a region under Mediterranean climatic conditions. A methodology is presented to assess, at monthly intervals, the seasonal variability of the angular dependence of ASAR Wide Swath (WS) backscatter over Calabria, Italy. It is observed that the angular dependence of backscatter strongly fluctuates temporally, depending on the land cover. The angular dependence of ASAR WS backscatter has a similar seasonal behavior as that of the Advanced Scatterometer for large parts of the study site when both are resampled to a common spatial and temporal resolution. It is found that errors that are larger than the radiometric accuracy of the sensor may be introduced when this temporal variability is ignored in an angular normalization.
Keywords
land cover; radar imaging; remote sensing by radar; synthetic aperture radar; vegetation mapping; ASAR Wide Swath backscatter; Calabria; Italy; Mediterranean climatic conditions; common incidence angle; empirical incidence angle normalization; land cover; multitemporal SAR images; radar backscatter; sensor radiometric accuracy; synthetic aperture radar; vegetation cover; Backscatter; Polynomials; Radar measurements; Remote sensing; Synthetic aperture radar; Vegetation mapping; C-band; incidence angle; synthetic aperture radar (SAR); time series; vegetation;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2013.2294725
Filename
6709738
Link To Document