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

本地理空间数据集提供了德国草原地区2021年植物物种丰富度的估算。每个像素覆盖10米×10米的区域，代表每16平方米草本物种的估算数量。该数据集通过分析2021年4月至10月的Sentinel-2时间序列数据，并结合Muro等人在2022年提出的多层感知器模型进行重新校准而得。数据集包含两个栅格文件。在第一版本中，模型已应用于德国所有像素，无论是否为草原，以便用户根据自身草原地图进行掩膜处理。在第二版本中，模型仅应用于训练数据集特征空间内的像素，将分析范围限定于（大多数）德国草原地区。物种数量介于每16平方米1至70种之间。这些区域的估算精度具有相对均方根误差0.28和均方根误差±8种的误差范围。