Exploiting Sentinel-1 time series and machine learning approaches for global soil moisture product

Conference presentation

SPIE Remote Sensing (Strasbourg, 09/09/2019 - 13/09/2019)

2019

Handle:

https://hdl.handle.net/10863/12809

Details

Title: Exploiting Sentinel-1 time series and machine learning approaches for global soil moisture product
Creators: Felix Greifeneder
Claudia Notarnicola
W Wagner
Conference: SPIE Remote Sensing (Strasbourg, 09/09/2019 - 13/09/2019)
Identifiers: (EURAC)21217140
991005772469601241
Academic Unit: Institute for Earth Observation
Institute for Earth Observation
Language: English
Resource Type: Conference presentation
Local Fields: Scientific
Author Names String: Greifeneder F, Notarnicola C, Wagner W

19 Record Views