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Ableitung der Schneeflächen aus einer Kombination von Sentinel-1 und Sentinel-2 in drei Untersuchungsgebieten

Schork, Katharina (2018) Ableitung der Schneeflächen aus einer Kombination von Sentinel-1 und Sentinel-2 in drei Untersuchungsgebieten. Master's, Universität Augsburg.

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Abstract

This Master thesis is about a new method of mapping the snow cover of the research areas Devon Ice Cap, Italian-French Alps and the South of Svalbard with data of Sentinel-1 and Sentinel-2. The snow cover can be mapped despite the cloud cover via the combination of radar and optical satellite data. However, it is necessary that there is wet snow because dry snow cannot be identified as snow with the radar system. That is why the extensive analysis of the snow cover of the three above given areas was carried out during the summer months of 2016 and 2017. In order to be able to get reliable information about the backscatter values of areas which were snow covered and those who were not, the research was mainly focused on data of Sentinel-1. The results of this analysis were used to develop a first approach of an operational working algorithm to map snow cover. What is also special about the method, which was applied in this thesis, is the usage of the still new TanDEM-X elevation model. It was possible to include items like effects of elevation, aspect and slope by using the data of the TanDEM-X DEM. The first snow masks, produced by this method, show fairly good results that is why the described method should be further developed and researched on.

Item URL in elib:https://elib.dlr.de/124559/
Document Type:Thesis (Master's)
Title:Ableitung der Schneeflächen aus einer Kombination von Sentinel-1 und Sentinel-2 in drei Untersuchungsgebieten
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schork, KatharinaKatharina.Schork (at) dlr.deUNSPECIFIED
Date:December 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:151
Status:Published
Keywords:Snow Cover Extent, optical data, SAR, NDSI, Sentinel-1, Sentinel-2, TanDEM-X DEM
Institution:Universität Augsburg
Department:Fakultät für Angewandte Informatik
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 Dynamics
Deposited By: Wendleder, Anna
Deposited On:18 Dec 2018 10:15
Last Modified:07 Jan 2019 12:47

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