Data accompanying "Summer drought weakens land surface cooling of tundra vegetation" ...

• Main Authors: Rietze, Nils, Assmann, Jakob J., Damm, Alexander, Karsanaev, Sergey, Maximov, Trofim C., Naegeli, Kathrin, Plekhanova, Elena, Schaepman-Strub, Gabriela
• Format: Dataset
• Language: English
• Published: Zenodo 2023
• Subjects: Arctic tundra; thermal remote sensing; LST; drone; UAV; Siberia; drought; extreme event; vegetation monitoring; Arctic; Damm; Nils; Trofim; Tundra
• Online Access: https://dx.doi.org/10.5281/zenodo.7886426; https://zenodo.org/record/7886426

This dataset contains the spatial and meteorological data underlying the statistical analysis in: Rietze et al. (in press) - Summer drought weakens land surface cooling by tundra vegetation All code to preprocess, analyze and visualize this data can be found under https://github.com/nrietze/ArcticDroughtPaper. This dataset contains three major components: The drone-derived mosaics of multispectral, RGB, and thermal imagery. The training polygons used for the land cover classification. Meteorological and micrometeorological observations used in the analysis and descriptions of flight conditions. Folder structure: <code class="language-bash">└───data ├───landcover ├───mosaics ├───shapefiles └───tables ├───intermediate └───results Clone the Github repository before downloading this data and insert the contents of this dataset into the empty "data" folder from the Github repo. Cite as: Rietze, Nils, Assmann, Jakob J., Damm, Alexander, Naegeli, Kathrin, Karsanaev, Sergey V., Maximov, Trofim C.,Plekhanova, ...