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1 Ergebnisse
1
Potential of C-Band Sentinel-1 Data for Estimating Soil Moi..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Zayani, H.
;
Zribi, M.
;
Baghdadi, N.
... - p. 6104-6107 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883957
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Potential of C-Band Sentinel-1 Data for Estimating Soil Moisture and Surface Roughness in a Watershed in Western France</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883957&Exemplar=1&LAN=DE A1 Zayani, H. A1 Zribi, M. A1 Baghdadi, N. A1 Ayari, E. A1 Kassouk, Z. A1 Lili-Chabaane, Z. A1 Michot, D. A1 Walter, C. A1 Fouad, Y. YR 2022 SN 2153-7003 K1 Radar remote sensing K1 Sensitivity K1 Soil measurements K1 Radar measurements K1 Soil moisture K1 Radar K1 Prediction algorithms K1 Sentinel-1 K1 C-band K1 soil K1 moisture K1 roughness K1 Naizin watershed K1 France SP 6104 OP 6107 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883957 DO https://doi.org/10.1109/IGARSS46834.2022.9883957 SF ELIB - SuUB Bremen
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