Integration of IEM_B, ISMN and Sar Sentinel-1 Data for Accurate Soil Moisture Estimation Using Neural Networks

2021 ◽  
Author(s):  
Leonardo De Laurentiis ◽  
Daniele Latini ◽  
Giovanni Schiavon ◽  
Fabio Del Frate
Keyword(s):  
Neural Networks ◽  
Soil Moisture ◽  
Moisture Estimation

Soil-moisture estimation from TerraSAR-X data using neural networks

2011 ◽  
Vol 23 (5) ◽  
pp. 937-952 ◽  
Author(s):  
Matej Kseneman ◽  
Dušan Gleich ◽  
Božidar Potočnik
Keyword(s):  
Neural Networks ◽  
Soil Moisture ◽  
Moisture Estimation

Soil moisture estimation over grass-covered areas using AIRSAR

1994 ◽  
Vol 15 (11) ◽  
pp. 2323-2333 ◽  
Author(s):  
D. S. LIN ◽  
E. F. WOOD ◽  
K. Beven ◽  
S. SAATCHI
Keyword(s):  
Soil Moisture ◽  
Moisture Estimation

Disaggrregation of remotely sensed soil moisture using neural networks

2003 ◽  
Author(s):  
M.P. Schamschula ◽  
W.L. Crosson ◽  
C. Laymon ◽  
R. Inguva ◽  
A. Steward
Keyword(s):  
Neural Networks ◽  
Soil Moisture ◽  
Remotely Sensed

scholarly journals Development of a hydrometeorological forcing data set for global soil moisture estimation

2005 ◽  
Vol 25 (13) ◽  
pp. 1697-1714 ◽  
Author(s):  
A. A Berg ◽  
J. S. Famiglietti ◽  
M. Rodell ◽  
R. H. Reichle ◽  
U. Jambor ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Data Set ◽  
Global Soil ◽  
Moisture Estimation

Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression

2014 ◽  
Author(s):  
J. Stamenkovic ◽  
C. Notarnicola ◽  
N. Spindler ◽  
G. Cuozzo ◽  
G. Bertoldi ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Topographic Data ◽  
Moisture Estimation

Potential of soil moisture estimation using C-band polarimetric SAR data in arid regions

2018 ◽  
Vol 40 (5-6) ◽  
pp. 2138-2150 ◽  
Author(s):  
Liping Yang ◽  
Xiaodong Feng ◽  
Fei Liu ◽  
Jing Liu ◽  
Xiaohui Sun
Keyword(s):  
Soil Moisture ◽  
Arid Regions ◽  
Polarimetric Sar ◽  
Sar Data ◽  
Moisture Estimation
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