High resolution snow depth mapping in Alpine environments based on active and passive microwave data integration: a machine learning approach

Authors

S. Paloscia (ORCID: https://orcid.org/0000-0003-3414-4531)
Giuliano Ramat (ORCID: https://orcid.org/0000-0003-4125-1634)
Fabrizio Baroni (ORCID: https://orcid.org/0000-0003-4753-1258)
Simone Pilia (ORCID: https://orcid.org/0000-0001-9773-9298)
S. Pettinato (ORCID: https://orcid.org/0000-0002-3155-8918)
E. Santi (ORCID: https://orcid.org/0000-0003-1882-6321)

Institutions

Nello Carrara Institute of Applied Physics (IT)

Publication Details

Published: 2024-11-19
DOI: https://doi.org/10.1117/12.3034917
Primary Topic: Cryospheric studies and observations
Type: article
Field-Weighted Citation Impact: 0.00

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article

High resolution snow depth mapping in Alpine environments based on active and passive microwave data integration: a machine learning approach

S. Paloscia, Giuliano Ramat, Fabrizio Baroni, Simone Pilia et al.

Nov 19, 2024

Cryospheric studies and observations

article

High resolution snow depth mapping in Alpine environments based on active and passive microwave data integration: a machine learning approach

S. Paloscia, Giuliano Ramat, Fabrizio Baroni, Simone Pilia, S. Pettinato, E. Santi

November 19, 2024article en

Abstract

No abstract available for this paper.

Nello Carrara Institute of Applied Physics (IT)

Climate action

Openalex Percentile: Top 76%

Cryospheric studies and observations

DOI Source OpenAlex

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High resolution snow depth mapping in Alpine environments based on active and passive microwave data integration: a machine learning approach — S. Paloscia, Giuliano Ramat, et al. · (2024) | TGRS Research Map | TGRS