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Abstract
The data descriptor represents a Germany-wide and spatio-temporally consistent 1 x1 km² analysis-ready time series of interpolated days of the year (DOYs).
The data set covers 56 entry dates of phenological development stages of 9 main crop types for the period between 1993 and 2021.
The derivation of the 1624 records is based on phenological observations provided by German Meteorological Service (DWD) and the PHASE model, which combines the concept of growing degree days (GDD) with a geostatistical interpolation procedure.
Each data set is characterized by the global accuracy metrics R² and RMSE.
The data are stored as datacubes in the rasdaman Array DBMS which also serves to offer it via APIs based on the open OGC standards.
A main application of the resulting data set is the extraction of phenological windows for any available year and user-defined region.
This information is relevant for agricultural applications such as weather or biodiversity index derivation, crop-type classification, soil erosion, crop yield modeling or integrated pest management.
DOI
https://doi.org/10.31223/X5D37T
Subjects
Physical Sciences and Mathematics
Keywords
phenology, crop, Interpolation, WCS, Data Cube, WCPS
Dates
Published: 2023-05-26 19:05
Last Updated: 2023-05-27 18:58
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License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability (Reason not available):
https://doi.org/10.20387/bonares-je6g-9896
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