Potential of Sentinel-1 for estimating the soil roughness over agricultural soils

Autor: Dav Ebengo Mwampongo, Mohammad El Hajj, Safa Bousbih, Nicolas Baghdadi, Mohammad Choker, Emmanuelle Vaudour, Hassan Bazzi, Mehrez Zribi, Jean-Marc Gilliot

Publikováno v: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.7516-7519, ⟨10.1109/IGARSS.2018.8519479⟩
IGARSS 2018-IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2018-IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valence, Spain. 2018
IGARSS

International audience; The potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils was studied. First, a neural network (NN) is used for estimating the soil moisture (mv). T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e13a9a828d66c37164ae8db3813f0f2
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