Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network-Reference-Cited by-同舟云学术

Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network

Published:2022-09 Issue: Volume:279 Page:113116
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Shan Xu,Steele-Dunne Susan,Huber Manuel,Hahn Sebastian,Wagner Wolfgang,Bonan Bertrand,Albergel Clement,Calvet Jean-Christophe,Ku Ou,Georgievska Sonja

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference115 articles.

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3. LDAS-monde sequential assimilation of satellite derived observations applied to the contiguous US: an ERA-5 driven reanalysis of the land surface variables;Albergel;Remote Sens.,2018

4. Monitoring and forecasting the impact of the 2018 summer heatwave on vegetation;Albergel;Remote Sens.,2019

5. Plant water potential improves prediction of empirical stomatal models;Anderegg;PLoS One,2017

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