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The SARSense campaign: A dataset for comparing C- and L-band SAR backscattering behaviour to changes of soil and plant paramters in agricultural areas

Authors :
UCL - SST/ELI/ELIE - Environmental Sciences
Mengen, David
Montzka, Carsten
Jagdhuber, Thomas
Fluhrer, Anke
Brogi, Cosimo
Matveeva, Maria
Baum, Stephani
Schüttemeyer, Dirk
Bayat, Bagher
Bogena, Heye
Coccia, Alex
Masalias, Gérard
Trinkel, Verena
Jakobi, Jannis
Jonard, François
Ma, Yueling
Mattia, Francesco
Palmisano, Davide
Rascher, Uwe
Satalino, Guiseppe
Schumacher, Maike
Koyama, Christian
Schmidt, Marius
Vereecken, Harry
EGU General Assembly 2021
UCL - SST/ELI/ELIE - Environmental Sciences
Mengen, David
Montzka, Carsten
Jagdhuber, Thomas
Fluhrer, Anke
Brogi, Cosimo
Matveeva, Maria
Baum, Stephani
Schüttemeyer, Dirk
Bayat, Bagher
Bogena, Heye
Coccia, Alex
Masalias, Gérard
Trinkel, Verena
Jakobi, Jannis
Jonard, François
Ma, Yueling
Mattia, Francesco
Palmisano, Davide
Rascher, Uwe
Satalino, Guiseppe
Schumacher, Maike
Koyama, Christian
Schmidt, Marius
Vereecken, Harry
EGU General Assembly 2021
Source :
Geophysical Research Abstracts, , p. EGU2021-1351 (2021)
Publication Year :
2021

Abstract

With the upcoming L-band Synthetic Aperture Radar (SAR) satellite mission Radar Observing System for Europe at L-band (ROSE-L) and its combination with existing C-band satellite missions such as Sentinel-1, multi-frequency SAR observations with high temporal and spatial resolution will become available. To investigate the potential for estimating soil and plant parameters, the SARSense campaign was conducted between June and August 2019 at the agricultural test site Selhausen in Germany. In this regard, we introduce a new publicly available, extensive SAR dataset and present a first analysis of C- and L-band co- and cross-polarized backscattering signals regarding their sensitivity to soil and plant parameters. The analysis includes C- and L-band airborne recordings as well as Senitnel-1 and ALOS-2 acquisitions, accompanied by in-situ soil moisture measurements and plant samplings. In addition, soil moisture was measured using cosmic-ray neutron sensing as well as unmanned aerial system (UAS) based multispectral and temperature measurements were taken during the campaign period. First analysis of the dataset revealed, that due to misalignments of corner reflectors during the SAR acquisition, temporal consistency of airborne SAR data is not given. In this regard, a scene-based, spatial analysis of backscatter behaviour from airborne SAR data was conducted, while the spaceborne SAR data enabled the analysis of temporal changes in backscatter behaviour. Focusing on root crops with radial canopy structure (sugar beet and potato) and cereal crops with elongated canopy structure (wheat, barley), the lowest correlations can be observed between backscattering signal and soil moisture, with R² values ranging below 0.35 at C-band and below 0.36 at L-band. Higher correlations can be observed focusing on vegetation water content, with R² values ranging between 0.12 and 0.64 at C-band and 0.06 and 0.64 at L-band. Regarding plant height, at C-band higher correlations with R² up t

Details

Database :
OAIster
Journal :
Geophysical Research Abstracts, , p. EGU2021-1351 (2021)
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1288279782
Document Type :
Electronic Resource