Potential of Sentinel-1 Images for Estimating the Soil Roughness over Bare Agricultural Soils

The purpose of this study is to analyze the potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils. An inversion technique based on Multi-Layer Perceptron neural networks is used. It involves two steps. First, a neural netw...

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Veröffentlicht in:	Water (Basel) 2018-02, Vol.10 (2), p.131
Hauptverfasser:	Baghdadi, Nicolas, El Hajj, Mohammad, Choker, Mohammad, Zribi, Mehrez, Bazzi, Hassan, Vaudour, Emmanuelle, Gilliot, Jean-Marc, Ebengo, Dav
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agricultural industry Agricultural land Agricultural practices Backscattering C band Computer simulation Hydrologic cycle Integral equations Inversion Life Sciences Neural networks Polarization Radar systems Runoff Soil erosion Soil moisture Soils Surface roughness
Online-Zugang:	Volltext
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