FINAL REMINDER: Special Issue "Remote Sensing of Snow and Its Applications" Deadline is 31 March 2019!

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FINAL REMINDER: Special Issue "Remote Sensing of Snow and Its Applications" Deadline is 31 March 2019!

Arslan Ali Nadir (FMI)

Dear All,

 

GEOSCIENCES: Special Issue "Remote Sensing of Snow and Its Applications" Deadline is 31 March 2019!

 

https://www.mdpi.com/journal/geosciences/special_issues/Remot_Sensing_Snow_Applications

 

8 papers published and one in being published; Please consider to submit your work!

 

_______________________________________________________________________

 

Dear Colleagues,

 

Snow cover is an essential climate variable directly affecting the Earth’s energy balance. Snow cover has a number of important physical properties that exert an influence on global and regional energy, water and carbon cycles. Surface temperature is highly dependent on the presence or absence of snow cover, and temperature trends have been shown to be related to changes in snow cover. Its quantification in a changing climate is thus important for various environmental and economic impact assessments. Identification of snowmelt processes could significantly support water management, flood prediction and prevention.

 

Remote sensing provides a good understanding of snow cover and enable snow cover information to be assimilated into hydrological, land surface, meteorological and climate models for predicting snowmelt runoff, snow water resources and to warn about snow-related natural hazards.

 

This Special Issue invites and encourages to submit covering all instrumentation/sensors and methodologies/models/algorithms in remote sensing of snow parameters (snow extent, snow depth, snow wetness, snow density, snow water equivalent, etc.) and applications where remotely-sensed snow information are used for, including, but not limited to:

 

    Remote sensing techniques and methods for snow

    Modelling, retrieval algorithms and in-situ measurements of snow parameters

    Multi-source and multi-sensor remote sensing of snow

    Remote sensing and model integrated approaches of snow

    Applications where remotely sensed snow information used for such as weather forecasting, flooding, avalanche, water management, traffic, health and sport, agriculture and forestry, climate scenarios, etc.

    Copernicus Sentinels, etc.

 

Dr. Ali Nadir Arslan

Dr. Zuhal Akyurek

Guest Editors


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