Beyond ‘greening’ and ‘browning’: trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation

Temporarily uncorrelated trends in grassland ground cover fractions over Eurasia calculated based on 2002-2020 Cumulative Endmember Fractions using the state-of-the-art PARTS statistical approach. For statistically robust interpretation and better understanding of the changes the maps should be interpreted together with the GLS results published in Lewińska et al. (2023).

The dataset is an integral part of the Lewińska et al. (2023), and is distributed as https://doi.org/10.5061/dryad.hmgqnk9nt

For a full description of the methodology and results please see the related publication listed below.

The complete dataset comprises six GeoTIFF files in ZSTD compression with three bands each describing 2002-2020 trends in grassland ground cover fractions:
– trends in green vegetation ground cover fraction;
– trends in non-photosynthetic vegetation ground cover fraction;
– trends in soil ground cover fraction;
– trends in a ratio of green vegetation ground cover fraction over non-photosynthetic vegetation fraction;
– trends in a ratio of green vegetation ground cover fraction over a soil fraction;
– trends in a ratio of a sum of green vegetation and non-photosynthetic vegetation fractions over  soil ground cover fraction

Each file comprises three bands:  [1]: AR trend, [2]: P-value of the AR trend, and [3]: strength of temporal autocorrelation.
Data description is distributed with the data.