The Joint Assimilation of Remotely Sensed Leaf Area Index and Surface Soil Moisture into a Land Surface Model

The Joint Assimilation of Remotely Sensed Leaf Area Index and Surface Soil Moisture into a Land Surface Model

This work tests the hypothesis that jointly assimilating satellite observations of leaf area index and surface soil moisture into a land surface model improves the estimation of land vegetation and water variables. An Ensemble Kalman Filter is used to test this hypothesis across the Contiguous Unite...

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Bibliographic Details
Main Authors: Azbina Rahman, Viviana Maggioni, Xinxuan Zhang, Paul Houser, Timothy Sauer, David M. Mocko
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
data assimilation
Ensemble Kalman Filter
GLASS
SMAP
evapotranspiration
net ecosystem exchange
Online Access:https://www.mdpi.com/2072-4292/14/3/437

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