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

X. Shan; S. Steele-Dunne; M. Huber; S. Hahn; W. Wagner; B. Bonan; C. Albergel; J.-C. Calvet; O. Ku; S. Georgievska

doi:10.1016/j.rse.2022.113116

Journal articles

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

X. Shan ¹ S. Steele-Dunne M. Huber S. Hahn W. Wagner B. Bonan ² C. Albergel ² J.-C. Calvet ² O. Ku S. Georgievska

1 TUDelft - Delft Univ. of Technology

2 CNRM - Centre national de recherches météorologiques

Document type :

Journal articles

Domain :

Environmental Sciences

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https://hal-meteofrance.archives-ouvertes.fr/meteo-03737850
Contributor : Jean-Christophe CALVET Connect in order to contact the contributor
Submitted on : Monday, July 25, 2022 - 2:53:44 PM
Last modification on : Tuesday, August 2, 2022 - 3:26:50 AM

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

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

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