摘要：Synthetic Aperture Radar (SAR) data handling, processing, and interpretation are barriers preventing a rapid uptake of SAR data by application specialists and non-expert domain users in the feld of agricultural monitoring . To improve the accessibility of Sentinel-1 data, we have generated a reduced- volume, multi-year Sentinel-1 SAR database . It includes mean and standard deviation of VV, VH and VH/ VV backscatter, pixel counts, geometry, crop type, local incidence angle and azimuth angle at parcel- level . The database uses around 3100 Sentinel-1 images (5 TB) to produce a 12 GB time series database for approximately 770,000 crop parcels over the Netherlands for a period of three years . The database can be queried by Sentinel-1 system parameters (e .g . relative orbit) or user application-specifc parameters (e .g . crop type, spatial extent, time period) for parcel level assessment . The database can be used to accelerate the development of new tools, applications and methodologies for agricultural and water related applications, such as parcel-level crop bio-geophysical parameter estimation, inter-annual variability analysis, drought monitoring, grassland monitoring and agricultural management decision- support.
