On the exploitation of high-resolution satellite imagery and machine learning techniques for snow and soil parameter retrieval

Giovanni Cuozzo; Riccardo Barella; FM Corvalan; Ludovica De Gregorio; F Greifeneder; Valentina Premier; Abraham Mejia-Aguilar; Claudia Notarnicola

On the exploitation of high-resolution satellite imagery and machine learning techniques for snow and soil parameter retrieval

Conference presentation

Open access

On the exploitation of high-resolution satellite imagery and machine learning techniques for snow and soil parameter retrieval

Giovanni Cuozzo, Riccardo Barella, FM Corvalan, Ludovica De Gregorio, F Greifeneder, Valentina Premier, Abraham Mejia-Aguilar and Claudia Notarnicola

ACR_Water (Assimilating Cosmic-Ray Neutron and Remote Sensing Data for Improved Water Resource Management) Workshop (Bolzano, 21/06/2023 - 21/06/2023)

2023

Handle:

https://hdl.handle.net/10863/37087

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Title: On the exploitation of high-resolution satellite imagery and machine learning techniques for snow and soil parameter retrieval
Creators: Giovanni Cuozzo
Riccardo Barella
FM Corvalan
Ludovica De Gregorio
F Greifeneder
Valentina Premier
Abraham Mejia-Aguilar
Claudia Notarnicola
Conference: ACR_Water (Assimilating Cosmic-Ray Neutron and Remote Sensing Data for Improved Water Resource Management) Workshop (Bolzano, 21/06/2023 - 21/06/2023)
Identifiers: (EURAC)27634235
991006625294501241
Copyright: CC-BY
Academic Unit: Institute for Earth Observation
Center for Sensing Solutions
Language: English
Resource Type: Conference presentation
Description coverage: Eurac
Description audience: Scientific
Local Fields: Scientific
Author Names String: Cuozzo G, Barella R, Corvalan FM, De Gregorio L, Greifeneder F, Premier V, Mejia-Aguilar A, Notarnicola C

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