TU3.R2.4

Towards the understanding of the C-Band temporal signature of boreal forest through physiology parameters retrieval from Sentinel-1 Time Series and Machine Learning

Thomas Di Martino, CentraleSupelec, ONERA, France; Regis Guinvarc'h, Laetitia Thirion-Lefevre, CentraleSupelec, France; Elise Colin, ONERA, France

Session:
TU3.R2: Deep Learning Methods for Inversion Oral

Track:
Data Analysis

Location:
Room C

Presentation Time:
Tue, 18 Jul, 13:36 - 13:48 Pacific Time (UTC -7)

Session Chair:
John Kerekes, Rochester Institute of Technology
Session Manager:
Ge Jiang
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