Computer Science Applications; Earth and Planetary Sciences (all)
Abstract :
[en] The upcoming launch of the L-band Synthetic Aperture Radar (SAR) satellite mission Radar Observing System for Europe L-band SAR (ROSE-L) will enable multi-frequency SAR observations when combined with existing C-band satellite missions (e.g., Sentinel-1). Due to the different penetration depths of the SAR signals, multi-frequency SAR offers great potential for field-scale agricultural monitoring and the estimation of soil and plant parameters. The SARSense campaign, conducted between June and August 2019 at the Selhausen agricultural test site near Jülich, Germany, has yielded a comprehensive dataset that includes both air- and space-borne C- and L-band SAR data, extensive in-situ field measurements of soil and plant parameters as well as unmanned aerial systems (UAS)-based multispectral and thermal infrared measurements and cosmic neutron sensing observations. The study provides both, an insight into the strengths and limitations of the acquired dataset as well as an analysis of the different behaviour of C- and L-band backscattering on changing soil moisture and plant parameters for taproot crops and cereals.
Mengen, David; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Montzka, Carsten; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Jagdhuber, Thomas; German Aerospace Center, Microwaves and Radar Institute, Germany ; University of Augsburg, Institute of Geography, Augsburg, Germany
Fluhrer, Anke; German Aerospace Center, Microwaves and Radar Institute, Germany ; University of Augsburg, Institute of Geography, Augsburg, Germany
Brogi, Cosimo; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Baum, Stephani; Forschungszentrum Jülich, Institute of Bio- and Geosciences: Plant Sciences (IBG-2), Jülich, Germany
Schüttemeyer, Dirk; European Space Agency, Mission Science Division, Netherlands
Bayat, Bagher; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Bogena, Heye; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Coccia, Alex; Metasensing BV, Netherlands
Masalias, Gerard; Metasensing BV, Netherlands
Trinkel, Verena; Forschungszentrum Jülich, Institute of Bio- and Geosciences: Plant Sciences (IBG-2), Jülich, Germany
Jakobi, Jannis; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Jonard, François ; Université de Liège - ULiège > Département de géographie ; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany ; Universite catholique de Louvain, Earth and Life Institute, Belgium
Ma, Yueling; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Mattia, Francesco; Consiglio Nazionale delle Ricerche (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Bari, Italy
Palmisano, Davide; Consiglio Nazionale delle Ricerche (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Bari, Italy
Rascher, Uwe; Forschungszentrum Jülich, Institute of Bio- and Geosciences: Plant Sciences (IBG-2), Jülich, Germany
Satalino, Giuseppe; Consiglio Nazionale delle Ricerche (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Bari, Italy
Schumacher, Maike; Aalborg University, Geodesy and Surveying, Aalborg, Denmark
Koyama, Christian; Tokyo Denki University, School of Science and Engineering, Tokyo, Japan
Schmidt, Marius; Forschungszentrum Jülich, Institute of Bio-and Geosciences: Agrosphere (IBG-3), Jülich, Germany
The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS)
Funding text :
We gratefully acknowledge funding by the European Space Agency (ESA) under Contract No. 4000125444/18/NL/LF and by the German Ministry of Economic Affairs and Energy (BMWi) through the German Aerospace Center for the AssimEO project (50EE1914A/B). Special thanks go to European Copernicus Satellite Program for providing free access to Sentinel-1 SAR data; the European Space Agency (ESA) and Japan Aerospace Exploration Agency (JAXA) for the ALOS-2 SAR data; MetaSensing for providing the airborne SAR recordings and the FLEXSense campaign (ESA Contract No. 4000125402/18/NL/NA)
Sheffield, J.; Wood, E.F.; Pan, M.; Beck, H.; Coccia, G.; Serrat-Capdevila, A.; Verbist, K. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data-Poor Regions. Water Resour. Res. 2018, 54, 9724-9758, doi:10.1029/2017WR022437.
Balenzano, A.; Mattia, F.; Satalino, G.; Davidson, M.W.J. Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops. IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 2011, 4, 439-450, doi:10.1109/JSTARS.2010.2052916.
Bogena, H.R.; Montzka, C.; Huisman, J.A.; Graf, A.; Schmidt, M.; Stockinger, M.; Hebel, C. von; Hendricks-Franssen, H.J.; van der Kruk, J.; Tappe, W.; et al. The TERENO-Rur Hydrological Observatory: A Multiscale Multi-Compartment Research Platform for the Advancement of Hydrological Science. Vadose Zone Journal 2018, 17, 180055, doi:10.2136/vzj2018.03.0055.
Brogi, C.; Huisman, J.A.; Pätzold, S.; Hebel, C. von; Weihermüller, L.; Kaufmann, M.S.; van der Kruk, J.; Vereecken, H. Large-scale soil mapping using multiconfiguration EMI and supervised image classification. Geoderma 2019, 335, 133-148, doi:10.1016/j.geoderma.2018.08.001.
Rudolph, S.; van der Kruk, J.; Hebel, C. von; Ali, M.; Herbst, M.; Montzka, C.; Pätzold, S.; Robinson, D.A.; Vereecken, H.; Weihermüller, L. Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements. Geoderma 2015, 241-242, 262-271, doi:10.1016/j.geoderma.2014.11.015.
Brogi, C.; Huisman, J.A.; Herbst, M.; Weihermüller, L.; Klosterhalfen, A.; Montzka, C.; Reichenau, T.G.; Vereecken, H. Simulation of spatial variability in crop leaf area index and yield using agroecosystem modeling and geophysics-based quantitative soil information. Vadose zone j. 2020, 19, 2026, doi:10.1002/vzj2.20009.
Weihermüller, L.; Huisman, J.A.; Lambot, S.; Herbst, M.; Vereecken, H. Mapping the spatial variation of soil water content at the field scale with different ground penetrating radar techniques. Journal of Hydrology 2007, 340, 205-216, doi:10.1016/j.jhydrol.2007.04.013.
Wegmüller, U.; Santoro, M.; Mattia, F.; Balenzano, A.; Satalino, G.; Marzahn, P.; Fischer, G.; Ludwig, R.; Floury, N. Progress in the understanding of narrow directional microwave scattering of agricultural fields. Remote Sensing of Environment 2011, 115, 2423-2433, doi:10.1016/j.rse.2011.04.026.