Agricultural SandboxNL Database V1.0
In the Agricultural SandboxNL, three years (2017, 2018, 2019) of Sentinel-1A/B synthetic aperture radar (SAR) scenes are used to generate the Basisregistratie Gewaspercelen (BRP) parcel level database of The Netherlands. The database consists of parcel-level spatially averaged VV, VH and VH/VV backscatter values, corresponding standard deviation, viewing incidence angle, local incidence angle, azimuth angle, pixel count and data quality flag for each parcel. Each parcel can be identified with an unique Object ID. The database uses around 1000 Sentinel-1 images to provide time series for approx... Mehr ...
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Dokumenttyp: | Dataset |
Erscheinungsdatum: | 2021 |
Schlagwörter: | Physical Geography and Environmental Geoscience / Other Earth Sciences / Geomatic Engineering / Agriculture / Netherlands / Crops / SAR / Sentinel-1 / Google Earth Engine |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-29601253 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.4121/14438750.v1 |
In the Agricultural SandboxNL, three years (2017, 2018, 2019) of Sentinel-1A/B synthetic aperture radar (SAR) scenes are used to generate the Basisregistratie Gewaspercelen (BRP) parcel level database of The Netherlands. The database consists of parcel-level spatially averaged VV, VH and VH/VV backscatter values, corresponding standard deviation, viewing incidence angle, local incidence angle, azimuth angle, pixel count and data quality flag for each parcel. Each parcel can be identified with an unique Object ID. The database uses around 1000 Sentinel-1 images to provide time series for approximately 770,000 crop parcels over the Netherlands annually. The database can be queried for Sentinel-1 system parameter (e.g. relative orbit) or user application-specific parameters (e.g. crop type, spatial extent, time period) for individual parcel level assessment or aggregated at administrative boundaries.