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Open AccessEditorial

Special Issue on Remote Sensing of Snow and Its Applications

1
Finnish Meteorological Institute (FMI), Erik Palménin aukio 1, FI-00560 Helsinki, Finland
2
Department of Civil Engineering, Middle East Technical University, 06800 Ankara, Turkey
*
Authors to whom correspondence should be addressed.
Geosciences 2019, 9(6), 277; https://doi.org/10.3390/geosciences9060277
Received: 18 June 2019 / Accepted: 20 June 2019 / Published: 24 June 2019
(This article belongs to the Special Issue Remote Sensing of Snow and Its Applications)
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PDF [201 KB, uploaded 24 June 2019]

Abstract

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. 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. The main objectives of this Special Issue, “Remote Sensing of Snow and Its Applications” in Geosciences are to present a wide range of topics such as (1) remote sensing techniques and methods for snow, (2) modeling, retrieval algorithms, and in-situ measurements of snow parameters, (3) multi-source and multi-sensor remote sensing of snow, (4) remote sensing and model integrated approaches of snow, and (5) applications where remotely sensed snow information is used for weather forecasting, flooding, avalanche, water management, traffic, health and sport, agriculture and forestry, climate scenarios, etc. It is very important to understand (a) differences and similarities, (b) representativeness and applicability, (c) accuracy and sources of error in measuring of snow both in-situ and remote sensing and assimilating snow into hydrological, land surface, meteorological, and climate models. This Special Issue contains nine articles and covers some of the topics we listed above. View Full-Text
Keywords: remote sensing; snow parameters; spatial and temporal variability of snow; snow hydrology; integration of remote sensing with models (hydrological; land surface; meteorological and climate) remote sensing; snow parameters; spatial and temporal variability of snow; snow hydrology; integration of remote sensing with models (hydrological; land surface; meteorological and climate)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Arslan, A.N.; Akyürek, Z. Special Issue on Remote Sensing of Snow and Its Applications. Geosciences 2019, 9, 277.

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