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Estimating soil moisture using remote sensing data: A machine learning approach Sajjad Ahmad *, Ajay Kalra, Haroon Stephen
 

Summary: Estimating soil moisture using remote sensing data: A machine learning approach
Sajjad Ahmad *, Ajay Kalra, Haroon Stephen
Department of Civil and Environmental Engineering, University of Nevada, 4505 Maryland Parkway, Las Vegas, NV 89154-4015, United States
a r t i c l e i n f o
Article history:
Received 8 June 2009
Received in revised form 27 September
2009
Accepted 20 October 2009
Available online 25 October 2009
Keywords:
SVM
ANN
Soil moisture
Backscatter
NDVI
Remote sensing
TRMM
a b s t r a c t
Soil moisture is an integral quantity in hydrology that represents the average conditions in a finite vol-

  

Source: Ahmad, Sajjad - Department of Civil and Environmental Engineering, University of Nevada at Las Vegas

 

Collections: Engineering