Germany-wide time series of interpolated phenological observations of main crop types between 1993 and 2021

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Markus Möller , Florian Beyer , Marvin Dierks, Peter Horney, Peter Baumann, Nikolai Svoboda, Henning Gerstmann

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 14:35

Last Updated: 2023-05-27 14:28

Older Versions
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