Radar backscattering over agricultural bare soils

1996 ◽  
Vol 10 (2) ◽  
pp. 187-209 ◽  
Author(s):  
L. Rakotoarivony ◽  
O. Taconet ◽  
D. Vidal-Madjar ◽  
P. Bellemain ◽  
M. Benallegue
Keyword(s):  
Radar Backscattering ◽  
Bare Soils

scholarly journals Radar Backscattering Coefficient Over Bare Soils at Ka-Band Close to Nadir Angle

2016 ◽  
Vol 13 (9) ◽  
pp. 1290-1294 ◽  
Author(s):  
Christophe Fatras ◽  
Pierre Borderies ◽  
Nicolas Baghdadi ◽  
Mehrez Zribi ◽  
Mohammad El Hajj ◽  
...  
Keyword(s):  
Backscattering Coefficient ◽  
Ka Band ◽  
Radar Backscattering ◽  
Bare Soils ◽  
Nadir Angle

scholarly journals Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3209 ◽  
Author(s):  
Hamid Reza Mirsoleimani ◽  
Mahmod Reza Sahebi ◽  
Nicolas Baghdadi ◽  
Mohammad El Hajj
Keyword(s):  
Neural Networks ◽  
Soil Surface ◽  
Bare Soil ◽  
Equation Model ◽  
Second Step ◽  
Surface Moisture ◽  
The Neural Networks ◽  
Radar Backscattering ◽  
Single Polarization ◽  
Bare Soils

The main purpose of this study is to investigate the performance of two radar backscattering models; the calibrated integral equation model (CIEM) and the modified Dubois model (MDB) over an agricultural area in Karaj, Iran. In the first part, the performance of the models is evaluated based on the field measurement and the mentioned backscattering models, CIEM and MDB performed with root mean square error (RMSE) of 0.78 dB and 1.45 dB, respectively. In the second step, based on the neural networks (NNS), soil surface moisture is estimated using the two backscattering models, based on neural networks (NNs), from single polarization Sentinel-1 images over bare soils. The inversion results show the efficiency of the single polarized data for retrieving soil surface moisture, especially for VV polarization.

Evaluation of Radar Backscattering Models IEM, Oh, and Dubois for SAR Data in X-Band Over Bare Soils

2011 ◽  
Vol 8 (6) ◽  
pp. 1160-1164 ◽  
Author(s):  
Nicolas Baghdadi ◽  
Elie Saba ◽  
Maelle Aubert ◽  
Mehrez Zribi ◽  
Frederic Baup
Keyword(s):  
X Band ◽  
Radar Backscattering ◽  
Sar Data ◽  
Bare Soils

Intensity of Choppy Sea Radar Backscattering for Small Grazing Angles

2004 ◽  
Vol 61 (2) ◽  
pp. 104-115
Author(s):  
V. G. Gutnik ◽  
G. P. Kulemin ◽  
L. I. Sharapov ◽  
E. A. Goroshko
Keyword(s):  
Radar Backscattering ◽  
Grazing Angles

CLASSIFICATION OF THE ATMOSPHERIC FORMATIONS BY USING BICOHERENCE-BASED FEATURES EXTRACTED FROM WEATHER RADAR BACKSCATTERING SIGNALS

2016 ◽  
Vol 75 (5) ◽  
pp. 463-475
Author(s):  
V. V. Naumenko ◽  
A. V. Totsky ◽  
G. I. Khlopov ◽  
O. A. Voitovych ◽  
J. T. Astola
Keyword(s):  
Weather Radar ◽  
Radar Backscattering

Three-scale Radar Backscattering Model of the Ocean Surface Based on Second-order Scattering

PIERS Online ◽  
2008 ◽  
Vol 4 (2) ◽  
pp. 171-175 ◽  
Author(s):  
Ying Yu ◽  
Xiao-Qing Wang ◽  
Min-Hui Zhu ◽  
Jiang Xiao
Keyword(s):  
Ocean Surface ◽  
Second Order ◽  
Radar Backscattering

scholarly journals Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data

2021 ◽  
Vol 100 ◽  
pp. 102345
Author(s):  
Xingming Zheng ◽  
Zhuangzhuang Feng ◽  
Lei Li ◽  
Bingzhe Li ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Radar Data ◽  
Surface Soil Moisture ◽  
Bare Soils
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