DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Relationships of TerraSAR-X Time Series with Snow Depth, Topography and Vegetation height over Arctic Tundra

Wendleder, Anna and Stettner, Samuel and Roth, Achim and Toose, Peter and King, Joshua (2019) Relationships of TerraSAR-X Time Series with Snow Depth, Topography and Vegetation height over Arctic Tundra. IUGG 2019, 8.-18.Jul 2019, Montréal, Kanada.

Full text not available from this repository.


Snow is a crucial element within Arctic ecosystems that is undergoing rapid change in the context of Arctic warming. High spatial resolution synthetic aperture radar (SAR) systems have shown high potential to characterize changes in snow properties, such as depth, density, water equivalent and microstructure. However, distinguishing between the contributions of snow, ground, vegetation and moisture to the SAR signal is challenging, in particular in remote environments with sparse reference data such as the Tundra. Our study focuses on a long-term monitoring site at Trail Valley Creek, Northwest Territories, Canada where ongoing snow science related to the Canadian Space Agency Terrestrial Snow Mass Mission has provided a reference snow dataset to evaluate. We completed a time series of TerraSAR-X (TSX) and TanDEM-X (TDX) VV-VH and HH-HV acquisitions between February 2018 and February 2019 in an 11 day repeat cycle. We used the Stripmap-mode of TDX that acquires continuous scene strips with a swath width of 15 km, variable strip length and a spatial resolution of up to 2.5 m. By spatial analysis of X-Band time series, snow depth from extensive repeated winter field campaigns, vegetation height from aerial LiDAR as well as soil moisture and ground temperature from in-situ observations we explain dynamics of X-Band backscatter for different tundra landscape units during winter.

Item URL in elib:https://elib.dlr.de/128639/
Document Type:Conference or Workshop Item (Speech)
Title:Relationships of TerraSAR-X Time Series with Snow Depth, Topography and Vegetation height over Arctic Tundra
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wendleder, AnnaAnna.Wendleder (at) dlr.deUNSPECIFIED
Stettner, Samuelsamuel.stettner (at) dlr.deUNSPECIFIED
Roth, AchimAchim.Roth (at) dlr.deUNSPECIFIED
Toose, Peterpeter.toose (at) canada.caUNSPECIFIED
King, Joshuajoshua.king (at) canada.caUNSPECIFIED
Date:13 July 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:SAR, snow properties, Arctic, Vegetation height
Event Title:IUGG 2019
Event Location:Montréal, Kanada
Event Type:international Conference
Event Dates:8.-18.Jul 2019
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:07 Aug 2019 11:18
Last Modified:07 Aug 2019 11:18

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.