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Comparison of SAR and CYGNSS Surface Water Extent Metrics

Authors: Bruce D. Chapman; Ilaria Mara Russo; Carmela Galdi; Mary Morris; Maurizio di Bisceglie; Cinzia Zuffada; Brandi Downs; +3 Authors

Comparison of SAR and CYGNSS Surface Water Extent Metrics

Abstract

Many sensors are suitable for accurate delineation of open water extent, but in vegetated environments, the vegetation canopy can obscure the presence of standing water from detection. Detecting inundation extent in these vegetated environments is especially critical for identifying flooding extent where surface water may exceed flood boundaries and extend into forests surrounding nearby lakes and streams. Regular and timely observations of water surfaces by optical sensors can be impeded by both cloud cover and by vegetation. Here, two microwave techniques for identifying inundation extent will be investigated and compared: L-band global navigation satellite systems reflectometry (GNSS-R) and L- and C-band synthetic aperture radar (SAR); and will confirm that there are correspondences between metrics derived from GNSS reflected signals and L-band SAR to inundated area, including wetlands covered by vegetation.

Keywords

QC801-809, Geophysics. Cosmic physics, inundation extent, synthetic aperture radar (SAR), wetlands, Ocean engineering, CYGNSS, global navigation satellite systems reflectometry (GNSS-R), UAVSAR, TC1501-1800

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    Top 10%
    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
gold