Seasonal snow cover is the largest cryospheric component, covering more than 50 million of square kilometers of the Earth surface (more than 31% of its land area) every year. Snow cover area (SCA), snow cover height (SH) and snow density (SD) as well as snow water equivalent (SWE) are the main parameters characterizing the snow accumulation in mountainous regions. Snow mapping is particularly important and the adoption of satellite data for these purposes can allow a continuous and large-scale monitoring of snow deposits. Among the spaceborne remote sensing systems, synthetic aperture radar (SAR) instruments are particularly suitable for the analysis of snow covers. Purpose of this study, which has been focused on the Italian central Apennine area (Fig.1) consists in 4 main objectives: the estimation of snow cover extent and its classification in dry and wet snow; the estimation of snowpack properties, namely snowpack height (SPH), Snow Density (SD) and Snow Water Equivalent (SWE); the validation of estimates using both in situ and satellite data; the estimation of mass balance of the Calderone glacier (located in the same central Apennine area) and its validation using Drone-DTM acquisitions and manual measurements (both performed by the Italian Glaciological Committee). For this study, satellite SAR data from different missions (SAOCOM, Sentinel-1, COSMO SkyMed) have been used, evaluating the performances of the single bands (L, C and X, respectively) and of multiband analysis.
A Model-based approach for the estimation of cover extension and fundamental parameters of the snow mantle in Italian Central Apennine using satellite multiband SAR data / Palermo, G.; Raparelli, E.; Romero, Alvan; Biscarini, N.; Tuccella, M.; Lombardi, P.; Tomassetti, A.; Cimini, B.; Pettinelli, D.; Mattei, E.; Papa, E.; Lauro, S.; Cosciotti, B.; Picciotti, E.; Fabio, Di; Bernardini, S.; Cinque, L.; Cappelletti, G.; Petroselli, D.; Pecci, C.; Pecci, Mas.; D’Aquila, Mat.; Martinelli, P.; Caira, M.; Fiore, Di; Pierdicca, T.; Galli, And. - (2023). (Intervento presentato al convegno IGARSS 2023 tenutosi a Pasadena, California-USA).
A Model-based approach for the estimation of cover extension and fundamental parameters of the snow mantle in Italian Central Apennine using satellite multiband SAR data
Raparelli E.;Alvan Romero;N. Biscarini;D. Pettinelli;Lauro S.;Picciotti E.;
2023
Abstract
Seasonal snow cover is the largest cryospheric component, covering more than 50 million of square kilometers of the Earth surface (more than 31% of its land area) every year. Snow cover area (SCA), snow cover height (SH) and snow density (SD) as well as snow water equivalent (SWE) are the main parameters characterizing the snow accumulation in mountainous regions. Snow mapping is particularly important and the adoption of satellite data for these purposes can allow a continuous and large-scale monitoring of snow deposits. Among the spaceborne remote sensing systems, synthetic aperture radar (SAR) instruments are particularly suitable for the analysis of snow covers. Purpose of this study, which has been focused on the Italian central Apennine area (Fig.1) consists in 4 main objectives: the estimation of snow cover extent and its classification in dry and wet snow; the estimation of snowpack properties, namely snowpack height (SPH), Snow Density (SD) and Snow Water Equivalent (SWE); the validation of estimates using both in situ and satellite data; the estimation of mass balance of the Calderone glacier (located in the same central Apennine area) and its validation using Drone-DTM acquisitions and manual measurements (both performed by the Italian Glaciological Committee). For this study, satellite SAR data from different missions (SAOCOM, Sentinel-1, COSMO SkyMed) have been used, evaluating the performances of the single bands (L, C and X, respectively) and of multiband analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
