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Analysis of Snow Cover Time Series – Opportunities and Techniques

Dietz, Andreas and Künzer, Claudia and Dech, Stefan (2015) Analysis of Snow Cover Time Series – Opportunities and Techniques. In: Remote Sensing Time Series - Revealing Land Surface Dynamics Springer. pp. 75-99. ISSN 1567-3200

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Abstract

Snow cover is one of the most dynamic land cover parameters that can be monitored from space and plays an important role for the Earth’s climate system and hydrological circle.While the spatial extent can be limited to narrow mountain ridges during summer, the snow cover percentage on the Northern Hemisphere may exceed 50 % (Lemke et al., Observations: changes in snow, ice and frozen ground. In: Solomon S, Qin D, Manning M, Chen Z, Marquis MC, Averyt K, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contributions of Working Group 1 to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge and New York, pp 337– 383, 2007) of the total land surface (~45 million km 14 2) during winter seasons (Barry et al., Global outlook for ice & snow. United Nations Environment Programme, Hertfordshire, 2007). Remote sensing has been used since the early 1970s to map terrestrial snow cover (Brown, J Clim 13:2339–2355, 2000) and both – sensors as well as retrieval algorithms – have undergone a substantial development since that time. This chapter will give a short introduction on how snow cover can be monitored from space. Furthermore, techniques will be outlined that show how time series analyses can be applied to remotely sensed snow cover products to reduce the compromising effect of cloud cover and to investigate the fundamental characteristics of snow. Time series of snow cover data allow for various analyses covering the fields of hydrology, climate research, flood prediction and management, and economy. Short term variations and extreme events can be analysed as well as long term climatological trends, constituting time series of snow cover data a valuable tool for a large bandwidth of applications.

Item URL in elib:https://elib.dlr.de/96788/
Document Type:Book Section
Title:Analysis of Snow Cover Time Series – Opportunities and Techniques
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dietz, AndreasAndreas.Dietz (at) dlr.deUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:2015
Journal or Publication Title:Remote Sensing Time Series - Revealing Land Surface Dynamics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1007/978-3-319-15967-6
Page Range:pp. 75-99
Editors:
EditorsEmail
Künzer, Claudiaclaudia.kuenzer@dlr.de
Dech, Stefanstefan.dech@dlr.de
Wagner, WolfgangTU Wien
Publisher:Springer
ISSN:1567-3200
Status:Published
Keywords:Snow Cover, time series, remote sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Frey, Dr. Corinne
Deposited On:23 Jun 2015 09:05
Last Modified:08 Apr 2016 10:08

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