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Abstract
The BELSAR dataset consists of high-resolution multitemporal airborne mono- and bistatic fully-polarimetric synthetic aperture radar (SAR) data in L-band, alongside concurrent measurements of vegetation and soil biogeophysical variables measured in maize and winter wheat fields during the summer of 2018 in Belgium. Its collection was funded by the European Space Agency (ESA) to address the lack of publicly-accessible experimental datasets combining multistatic SAR and in situ measurements. As such, it offers an opportunity to advance the development of SAR remote sensing science and applications for agricultural monitoring and hydrology. This paper aims to facilitate its adoption and exploration by offering comprehensive documentation and integrating its multiple data sources into a unified, analysis-ready dataset.
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1 Université catholique de Louvain, Earth and Life Institute, Louvain-la-Neuve, Belgium (GRID:grid.7942.8) (ISNI:0000 0001 2294 713X)
2 Ghent University, Hydro-Climate Extremes Lab (H-CEL), Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
3 Université de Liège, Centre Spatial de Liège, Angleur, Belgium (GRID:grid.4861.b) (ISNI:0000 0001 0805 7253)
4 MetaSensing B.V., Leiden, The Netherlands (GRID:grid.436403.6)
5 European Space Research and Technology Centre, European Space Agency, Noordwijk, The Netherlands (GRID:grid.424669.b) (ISNI:0000 0004 1797 969X)