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Time Series Analysis of Global Daily Snow Cover Extents Derived from Medium Resolution Remote Sensing Data, Global SnowPack

Dietz, Andreas and Künzer, Claudia and Dech, Stefan (2017) Time Series Analysis of Global Daily Snow Cover Extents Derived from Medium Resolution Remote Sensing Data, Global SnowPack. 37th International Symposium on Remote Sensing of Environment, 8.-12. Mai 2017, Tshwane, South Africa.

Full text not available from this repository.

Abstract

Global snow cover is an important environmental parameter, as it influences hydrology, vegetation, radiation balance, and the living space of humans and animals. Snow is an essential source for freshwater in many regions of the world and at the same time, snow cover depends on precipitation and temperature during the snow season. As climate and weather varies, also the amount as well as the onset, duration, and offset of snow cover changes throughout the years. It is important to analyze this variability in order to identify possible trends, but also to predict the impact of the snow cover situation on local freshwater availability, floods, or the influences on vegetation. The presentation will focus on the production of daily, global snow cover extent datasets derived from medium resolution remote sensing data and their application in terms of time series analyses. Data sources include AVHRR, MODIS, and Sentinel 3. The presented products include the overall snow cover duration, early season snow cover duration, and late season snow cover duration. Together these products form the Global SnowPack: a set of snow cover parameters mage available on a global scale by DLR. The presentation will give a quick overview of how the processing steps are implemented before some examples are given on how the Global SnowPack datasets look like and what they can be used for. A long time series of daily snow cover datasets will be discussed in terms of possible trends, extreme events, and mean longterm conditions.

Item URL in elib:https://elib.dlr.de/113394/
Document Type:Conference or Workshop Item (Speech)
Title:Time Series Analysis of Global Daily Snow Cover Extents Derived from Medium Resolution Remote Sensing Data, Global SnowPack
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:2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:snow, snow cover, Global SnowPack, MODIS, AVHRR, Sentinel 3, climate change
Event Title:37th International Symposium on Remote Sensing of Environment
Event Location:Tshwane, South Africa
Event Type:international Conference
Event Dates:8.-12. Mai 2017
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Dietz, Andreas
Deposited On:28 Sep 2017 14:58
Last Modified:28 Sep 2017 14:58

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