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TerraSAR-X in support of the Canadian dual Ku-Band SAR mission

Wendleder, Anna and Montpetit, Benoit and King, Joshua and Derksen, Chris and Siqueira, Paul and Toose, Peter (2023) TerraSAR-X in support of the Canadian dual Ku-Band SAR mission. TerraSAR-X/TanDEM-X Science Meeting, 2023-10-18 - 2023-10-20, Oberpfaffenhofen, Deutschland.

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Abstract

Environment and Climate Change Canada (ECCC) and the Canadian Space Agency (CSA) continue to advance a new satellite Ku-band radar mission focused on providing moderate resolution (500 m) information on seasonal snow mass. Like many regions of the northern hemisphere, estimates of the amount of water stored as seasonal snow are highly uncertain across Canada. To address this gap, a technical concept capable of providing dual-polarization (VV/VH), moderate resolution (500 m), wide swath (~250 km), and high duty cycle (~25% SAR-on time) Ku-band radar measurements at two frequencies (13.5; 17.25 GHz) is under development. An intensive field campaign, Trail Valley Creek experiment (TVCEx), conducted in winter of 2018-19 near Inuvik, NWT, Canada, was conducted. Another field campaign, CryoSAR 2022-23, was conducted in Powassan, Ontario, Canada. Both campaigns acquired airborne Ku-band (13.5 GHz) SAR data to support the science readiness activities of the future Canadian mission. A major challenge of effectively retrieving snow mass information from Ku-Band SAR data is to be able to decouple the contribution of the snow from the underlying background to the backscattered signal. To achieve this, C-Band RADARSAT-2 (TVCEx) and Radarsat Constellation Mission (CryoSAR 2022-23) and X-Band TerraSAR-X data were acquired. Since these radar bands are less sensitive to snow mass of shallow snowpacks, data acquired at both frequencies are used in a forward modeling approach, using the Snow Microwave Radiative Transfer (SMRT) model, to retrieve the effective soil parameters such as soil permittivity and texture. Current results from the TVCEx show that the retrieved soil texture parameters at the lower frequencies are very similar to the measured values using airborne LiDAR. This shows that using a multi-frequency approach is greatly beneficial in retrieving snow mass at higher frequencies. Preliminary results from the CryoSAR2022-23 campaign shows that the Ku-Band data is very sensitive to the snow mass for agricultural landscapes of southern Canada. With as little as 15 cm of snow, the backscattered signature from the soil texture is lost at Ku-Band but it is still visible at C- and X-Band throughout the winter season in dry snow conditions. Data acquired during these two field campaigns strongly show that TSX data is very valuable to retrieve snow mass properties at higher frequencies such as proposed in the future Canadian satellite mission.

Item URL in elib:https://elib.dlr.de/199487/
Document Type:Conference or Workshop Item (Speech)
Title:TerraSAR-X in support of the Canadian dual Ku-Band SAR mission
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wendleder, AnnaUNSPECIFIEDhttps://orcid.org/0009-0005-1534-4732UNSPECIFIED
Montpetit, BenoitEnvironment and Climate Change Canada, CanadaUNSPECIFIEDUNSPECIFIED
King, JoshuaEnvironment and Climate Change Canada, Ottawa, ON, CanadaUNSPECIFIEDUNSPECIFIED
Derksen, ChrisEnvironment and Climate Change Canada, Ottawa, ON, CanadaUNSPECIFIEDUNSPECIFIED
Siqueira, PaulUniversity of MassachusettsUNSPECIFIEDUNSPECIFIED
Toose, PeterEnvironment and Climate Change Canada, Ottawa, ON, CanadaUNSPECIFIEDUNSPECIFIED
Date:October 2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:TerraSAR-X, Radarsat-2, snow characteristic, multi-frequency, terrabyte, Multi-SAR
Event Title:TerraSAR-X/TanDEM-X Science Meeting
Event Location:Oberpfaffenhofen, Deutschland
Event Type:international Conference
Event Start Date:18 October 2023
Event End Date:20 October 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - HPDA use
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > International Ground Segment
Deposited By: Wendleder, Anna
Deposited On:27 Nov 2023 12:06
Last Modified:24 Apr 2024 21:00

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