Special Issue "Snow Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (15 December 2017)
Dr. Claudia Notarnicola
Snow is one of the most relevant natural water resources present in nature. It stores water in winter and releases it in spring during the melting season. Monitoring snow cover and its variability is thus of great importance for a proactive management of water-resources. Of particular interest is the identification of snowmelt processes, which could significantly support water administration, flood prediction and prevention.
In the past years, remote sensing has demonstrated to be an essential tool for providing accurate inputs to hydrological models concerning the spatial and temporal variability of snow. In particular, the SAR images have demonstrated to be effective and robust measures to identify wet snow, whereas optical data have proven to be an effective source of information to identify the snow cover extension when cloud cover is not present.
Moreover, remote sensing from space and aircraft, combined with complementary terrestrial observations and with physical models, have been used to monitor snow evolution and changes in relation to different climate conditions. Of course, an important aspect of space-based (and airborne) remote sensing is that we can investigate areas in which ground observations are not possible due to physical or political constraints. Actually, this scenario has changed with the introduction of the Sentinel family.
This Special Issue invites innovative remote sensing methods and applications on monitoring and modeling snow. Submissions are encouraged to cover a broad range of topics, which may include, but are not limited to, the following activities:
- Remote sensing algorithm development, automation, implementation, and validation
- Synergy of optical and SAR images to monitor snow status
- Integration of remote sensing and hydrological modeling
- Investigation on spatial and temporal variability of snow cover
- Detection and monitoring of snow parameters (snow depth, snow density, snow water equivalent, etc.)
- Analysis of time series of satellite snow cover extent
Dr. Claudia Notarnicola
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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