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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Repository www.bonares.de. This data were created as part of the JKI's research activities.\" Although every care has been taken in preparing and testing the data, the JKI and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the JKI and the BonaRes Repository accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Repository will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-13", "type": "Dataset", "created": "2022-09-30", "language": "eng", "title": "Germany-wide time series of interpolated phenological observations for main crop types between 1993 and 2021", "description": "

The data set documents a Germany-wide and spatio-temporally consistent 1 \u00d7 1 km\u00b2 analysis-ready time series (ARD-TS) of interpolated DOYs (days of the year) covering 56 beginning phenological development stages (phases) of 9 main crop types for the period between 1993 and 2021. The derivation is based on Germany-wide observations of the German Weather Service (DWD), which were statistically filtered and interpolated.

\n

The German Weather Service operates a phenological observation network. About 1200 observers monitor 160 phenological phases of wild and cultivated plants. The PHASE model was developed to interpolate the phenological observations for the entire territory of Germany (Gerstmann et al. (2016) Rel.Identifer TAB 8). The model combines the concept of growing degree days (GDD) with a geostatistical interpolation procedure. The PHASE model was applied to create a Germany-wide and spatio-temporally consistent 1 \u00d7 1 km\u00b2 analysis-ready time series (ARD-TS) of interpolated DOYs (days of the year) covering 56 beginning phenological development stages (phases) of 9 main crop types for the period between 1993 and 2021. The dataset includes the following information:

\n

\n\u2022\tGermany-wide interpolated temperature data from the German Weather Service (DWD),
\n\u2022\traster datasets of interpolated crop-specific and Germany-wide incipient phenological development stages for the period between 1993 and 2020. The value in each pixel of these rasters represents the Day Of the Year (DOY) of the respective beginning phenological plant development stage, \n
\n\u2022\taccuracy metrics (RMSE, MSE, MAE, and R\u00b2) for each Germany-wide interpolation result.

\n

The code of the phase model is documented in a software repository (Rel.Identifer TAB 9 and 10). The temporally static model input data are also stored there.

\n

Research question
\nThe dataset allows the spatio-temporal definition of phenological windows for any available year and user-defined region (M\u00f6ller et al. (2020) Rel.Identifer TAB 1). Such information is important for various agricultural issues such as the derivation of weather or biodiversity indices, crop classification, soil erosion or crop yield modeling (Bucheli et al. (2022) Rel.Identifer TAB 5; Gerstmann et al. (2018) ; Rel.Identifer TAB 3; M\u00f6ller et al. (2017, 2018) ; Rel.Identifer TAB 2 and 4; Riedsel et al. (2022) ; Rel.Identifer TAB 6).

\nAll relvant papers are listed under RelatedIdentifier.
\nA form for creating an individual WCS can be found here:
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