Remote Sensing for Quantifying Spatial and Temporal Variability of Snow and Snow Processes
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 (29 February 2020) | Viewed by 18056
Special Issue Editors
Interests: microwave remote sensing; soil moisture; vegetation biomass; snow water equivalent; SAR and microwave radiometers; GNSS-R, retrieval algorithms development
Special Issues, Collections and Topics in MDPI journals
Interests: microwave remote sensing; soil moisture; vegetation biomass; snow water equivalent; SAR and microwave radiometers; GNSS-R, retrieval algorithms development; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Snow represents a seasonal storage from where water is rapidly released during the melting period, and it has a large influence on surface energy and moisture fluxes: the spatial and temporal behavior of snow coverage can heavily influence floods, agriculture, hydropower and climate. The accurate characterization of snow is therefore a need for environmental, scientific and economic purposes.
In this respect, the possibility of observing snow from space with high spatial and temporal resolution is undoubtedly appealing. Snow cover area (SCA) monitoring using optical and microwave sensors has been reported for decades, and microwave sensors (both active and passive) were also demonstrated able to provide information on other snow parameter as Snow Depth (SD) and its Water Equivalent (SWE).
This Special Issue “Remote Sensing for Quantifying Spatial and Temporal Variability of Snow and Snow Processes” aims at exploring the current potentialities of active and passive microwave joint with optical remote sensing in order to quantify, how much the hydrological cycle and climate change are influenced by snow.
Contributions on emerging methods and technologies will have special relevance within this Special Issue, as well as those ones where the physical mechanisms that regulate the interaction of microwave/visible and snow are welcome.
Dr. Simone Pettinato
Dr. Emanuele Santi
Guest Editors
Manuscript Submission Information
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Keywords
- SAR
- Radiometers
- Scatterometers
- Satellite optical and infrared sensors
- Optical and microwave satellite data fusion
- Hydrological Cycle
- Snow Depth and Snow Water Equivalent