Plant species richness across grasslands in Germany

This geospatial dataset provides an estimation of plant species richness in grasslands across Germany for 2021. Each pixel covers an area of 10 by 10 m and represents the estimated number of herbaceous species per 16m2. It is derived using Sentinel-2 time series from April to October 2021, and a multilayer perceptron model recalibrted following Muro et al. (2022). Two raster files are provided. In the first version the model has been applied to all pixels of Germany, weather grasslands or not, so that users can mask it to their own grassland map. In the second version, the model has been applied only to pixels that are within the feature space of the training dataset, limiting the analysis to (most) grasslands in Germany. Values range between 1 and 70 species per 16m2. The estimated accuracy for these areas has a relative root squared error of 0.28 and a root mean squared error of ±8 species

Data and Resources

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Cite this as

Muro, Javier (2024). Dataset: Plant species richness across grasslands in Germany. https://doi.org/10.1594/PANGAEA.967052

DOI retrieved:

Additional Info

Field Value
Imported on November 29, 2024
Last update November 29, 2024
License CC-BY-4.0
Source https://doi.pangaea.de/10.1594/PANGAEA.967052
Author Muro, Javier
Given Name Javier
Family Name Muro
Resource Type text/tab-separated-values - filename: MuroJ_2024
Subject Areas
Name: Agriculture

Related Identifiers
Title: Predicting plant biomass and species richness in temperate grasslands across regions, time, and land management with remote sensing and deep learning
Identifier: https://doi.org/10.1016/j.rse.2022.113262
Type: DOI
Relation: References
Year: 2022
Source: Remote Sensing of Environment
Authors: Muro Javier , Linstädter Anja , Magdon Paul , Wöllauer Stephan , Männer Florian A , Schwarz Lisa-Maricia , Ghazaryan Gohar , Schultz Johannes , Malenovský Zbyněk , Dubovyk Olena .