Title | ||
---|---|---|
Mapping Flooded Vegetation Using COSMO-SkyMed: Comparison With Polarimetric and Optical Data Over Rice Fields. |
Abstract | ||
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The capability of COSMO-SkyMed (CSK) radar to remotely sense standing water beneath vegetation using an automatic algorithm working on a single image is investigated. The objective is to contribute to tackle the problem of missed detection of inundated vegetation by near real-time flood mapping algorithms using SAR data. The focus is on CSK because its four-satellite constellation is very suitable... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/JSTARS.2017.2711960 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Vegetation mapping,Synthetic aperture radar,Scattering,Satellites,Earth,Remote sensing | Meteorology,Radar,Vegetation,Satellite,3D optical data storage,Polarimetry,Paddy field,Synthetic aperture radar,Remote sensing,Backscatter,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 6 | 1939-1404 |
Citations | PageRank | References |
1 | 0.36 | 17 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nazzareno Pierdicca | 1 | 278 | 62.69 |
Luca Pulvirenti | 2 | 151 | 31.53 |
Giorgio Boni | 3 | 69 | 13.49 |
Giuseppe Squicciarino | 4 | 7 | 3.18 |
Marco Chini | 5 | 148 | 31.25 |