Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Mauro Valt"'
Autor:
Nicola Colombo, Nicolas Guyennon, Mauro Valt, Franco Salerno, Danilo Godone, Paola Cianfarra, Michele Freppaz, Maurizio Maugeri, Veronica Manara, Fiorella Acquaotta, Anna Bruna Petrangeli, Emanuele Romano
Publikováno v:
Environmental Research Letters, Vol 18, Iss 7, p 074014 (2023)
Snow represents a fundamental water resource for mountain and lowland areas. Changes in the frequency and magnitude of snow droughts can significantly impact societies and ecosystems that rely on snowmelt to satisfy their water demands. Here we docum
Externí odkaz:
https://doaj.org/article/b3ca7b092e0a4a9c9d8eacc16b28d5fb
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2213 (2022)
The data value of hyperspectral measurements on ice and snow cover is strongly impacted by the availability of data services, where spectral libraries are integrated to detailed descriptions of the observed surface cover. For snow and ice cover, we p
Externí odkaz:
https://doaj.org/article/837761baef3442728150a2afbf5622af
Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover
Autor:
Roberto Salzano, Rosamaria Salvatori, Mauro Valt, Gregory Giuliani, Bruno Chatenoux, Luca Ioppi
Publikováno v:
Geosciences, Vol 9, Iss 2, p 97 (2019)
The relation between the fraction of snow cover and the spectral behavior of the surface is a critical issue that must be approached in order to retrieve the snow cover extent from remotely sensed data. Ground-based cameras are an important source of
Externí odkaz:
https://doaj.org/article/9a4f9c037013493ab8a7e3f902e02fd5
Publikováno v:
Sensors, Vol 17, Iss 1, p 84 (2017)
In this work, X band images acquired by COSMO-SkyMed (CSK) on alpine environment have been analyzed for investigating snow characteristics and their effect on backscattering variations. Preliminary results confirmed the capability of simultaneous opt
Externí odkaz:
https://doaj.org/article/01e6ec861cd54d28bedf1ba716b200c4
Autor:
Simone Pilia, Fabrizio Baroni, Alessandro Lapini, Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Paolo Pampaloni, Mauro Valt, Fabiano Monti
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Autor:
Nicola Colombo, Mauro Valt, Emanuele Romano, Franco Salerno, Danilo Godone, Paola Cianfarra, Michele Freppaz, Maurizio Maugeri, Nicolas Guyennon
Publikováno v:
Journal of Hydrology. 614:128532
Autor:
S. Pilia, Mauro Valt, Leonardo Santurri, Simone Pettinato, F. Baroni, Emanuele Santi, Simonetta Paloscia, Alessandro Lapini
Publikováno v:
IGARSS
In this paper the integration between the Dense Media Radiative Transfer (DMRT-QMS) model and the SNOWPACK model was investigated in order to simulate snow parameters and the backscattering at X band (9.6 GHz) from nivo-meteorological data. The role
Autor:
Walter Beozzo, Daniele Cat Berro, Paola Cianfarra, Michael Matiu, Sven Kotlarski, Ludovica De Gregorio, Giacomo Bertoldi, Wolfgang Schöner, Alice Crespi, Mauro Valt, Isabelle Gouttevin, Christoph Marty, Bruno Majone, Silvia Terzago, Samuel Morin, Gernot Resch, Giorgia Marcolini, Carlo Maria Carmagnola, Gabriele Chiogna
The European Alps stretch over a range of climate zones, which affect the spatial distribution of snow. Previous analyses of station observations of snow were confined to regional analyses, which complicates comparisons between regions and makes Alpi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e87839ad18a13e638373f1f386b8b1de
https://doi.org/10.5194/egusphere-egu21-3287
https://doi.org/10.5194/egusphere-egu21-3287
The avalanche hazard is a critical task for the regional services in the Alpine region. For this reason, the characteristics of surface snow are continuously monitored in terms of micro-physics and metamorphism. The spatial distribution of the differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88b3e61d92656e249e22e17318038719
https://doi.org/10.5194/egusphere-egu2020-9411
https://doi.org/10.5194/egusphere-egu2020-9411
Autor:
Emanuele Romano, Mauro Valt, Rosa Maria Salvatori, Nicolas Guyennon, Anna Bruna Petrangeli, Franco Salerno
The Snow Water Equivalent (SWE), combining the information of snow depth and snow density is a necessary variable for snow-hydrological studies and applications, as well as, for ecological function or avalanche forecasting. Direct automatics measurem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756e617a9e4643e2808ca2a7d18b6ffe
https://doi.org/10.5194/egusphere-egu2020-18125
https://doi.org/10.5194/egusphere-egu2020-18125