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Improving Active Remote Sensing of Snow Through the Use of Multiple Frequencies, In-Situ Data and Neural Networks
Improving Active Remote Sensing of Snow Through the Use of Multiple Frequencies, In-Situ Data and Neural Networks
2019
Randy J. Chase
Stephen W. Nesbitt
Greg M. McFarquhar
Frédéric Tridon
Jussi Leinonen
Keywords:
Remote sensing
Environmental science
Hydrology (agriculture)
In situ
Artificial neural network
Snow
Correction
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