With the availability of space imaging spectroscopy data over snow and ice-covered areas of the planet, new opportunities for snow parameter retrievals were opened. For example, PRISMA mission does not acquire images as continuously as other optical satellite missions (i.e., Sentinel-2, Landsat-8 etc.) but it allows detailed studies of the cryosphere both at mid-latitudes and at the poles in unprecedented way.In this study, we show the retrieval of snow parameters from remote sensing observations, with particular attention to snow density and snow liquid water content.
Colombo, R., Di Mauro, B., Ravasio, C., Garzonio, R. (2024). Retrieval of Snow Properties from Hyperspectral Data. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp.627-630). Institute of Electrical and Electronics Engineers Inc. [10.1109/IGARSS53475.2024.10641716].
Retrieval of Snow Properties from Hyperspectral Data
Colombo R.;Di Mauro B.;Ravasio C.;Garzonio R.
2024
Abstract
With the availability of space imaging spectroscopy data over snow and ice-covered areas of the planet, new opportunities for snow parameter retrievals were opened. For example, PRISMA mission does not acquire images as continuously as other optical satellite missions (i.e., Sentinel-2, Landsat-8 etc.) but it allows detailed studies of the cryosphere both at mid-latitudes and at the poles in unprecedented way.In this study, we show the retrieval of snow parameters from remote sensing observations, with particular attention to snow density and snow liquid water content.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.