Plant species richness across grasslands in Germany

DOI

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

Extent: 4016026.3630416495725513,2654919.6079648043960333 : 4676026.3630416495725513,3584919.6079648043960333Dimensions: X: 66000 Y: 93000 Bands: 1 Pixel size: 10, 10 m EPSG:3035 - ETRS89-extended / LAEA Europe

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.967052
Related Identifier References https://doi.org/10.1016/j.rse.2022.113262
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.967052
Provenance
Creator Muro, Javier ORCID logo
Publisher PANGAEA
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 2 data points
Discipline Earth System Research
Spatial Coverage (5.200W, 46.900S, 14.700E, 55.300N)