Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1715-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
A remote sensing approach for measuring climatic change effects on snow cover dynamics
Related authors
Cited articles
Arpa Piemonte: Banca dati storica, https://www.arpa.piemonte.it/rischi_naturali/snippets_arpa_graphs/map_meteoweb/?rete=stazione_meteorologica, last access: 17 February 2025.
Arpa VdA: Dataview, https://presidi2.regione.vda.it/str_dataview, last access: 17 February 2025.
Arreola-Esquivel, M., Toxqui-Quitl, C., Delgadillo-Herrera, M., Padilla-Vivanco, A., Ortega-Mendoza, G., and Carbone, A.: Non-Binary Snow Index for Multi-Component Surfaces, Remote Sens., 13, 2777, https://doi.org/10.3390/rs13142777, 2021.
Avanzi, F.: La neve di ogi è l'acqua di domani: cosa ci ha insegnato la siccità del 2021–2024, Nimbus, 92, 26–35, 2024.
Avanzi, F., Munerol, F., Milelli, M., Gabellani, S., Massari, C., Girotto, M., Cremonese, E., Galvagno, M., Bruno, G., Morra di Cella, U., Rossi, L., Altamura, M., and Ferraris, L.: Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy, Commun. Earth Environ., 5, 64, https://doi.org/10.1038/s43247-024-01222-z, 2024.