Data Assimilation to Extract Soil Moisture Information from SMAP Observations

Data Assimilation to Extract Soil Moisture Information from SMAP Observations

This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations. Neural network (NN) and physically-based SMAP soil moisture retrievals were assimilated into the National Aeronautics and Space Administration (NAS...

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Bibliographic Details
Main Authors: Jana Kolassa, Rolf H. Reichle, Qing Liu, Michael Cosh, David D. Bosch, Todd G. Caldwell, Andreas Colliander, Chandra Holifield Collins, Thomas J. Jackson, Stan J. Livingston, Mahta Moghaddam, Patrick J. Starks
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Remote Sensing
Subjects:
data assimilation
SMAP soil moisture
neural networks
bias correction
Online Access:https://www.mdpi.com/2072-4292/9/11/1179

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