Dataset for "Assmann et al. Freshwater ponds create highly dynamic Arctic tundra landscapes"

Overview

Time-series of true colour drone imagery (RGB) and associated digital surface models (DSM) for three tundra landscapes. These data are required to replicate the analysis in "Assmann et al. (preprint) Freshwater ponds create highly dynamic Arctic tundra landscapes".

Location:                                   Kytalyk National Park, Russian FederationTime-span:                                2014-2021 (near-annual)What:                                         drone derived RGB raster imagery and digital surface models (.tif)Ground-sampling distance:   12 cmProjection:                                UTM55N (EPSG: 32655)

The data are intended to be integrated into the GitHub repository (https://github.com/jakobjassmann/pond_project). Instructions below. 

For further detail on data generation and flight information see manuscript and supplementary materials, as well as information provided on the GitHub code repository. 

Site names

Please note that the abbreviated site names used here and in the code repository differ from those used in the manuscript. 

dataset / code
manuscript

cbh
"high"

tlb
"med"

rdg
"low"

Integration with code repository

To integrate the data with the code repository:

Clone the code repository to your local machine. (https://github.com/jakobjassmann/pond_project)

Download the compressed data in this repository. 

Extract archive contents as follows:

cbh.7z    ->     data/drone_data/cbh/

tlb.7z     ->     data/drone_data/tlb/

rdg.7z    ->     data/drone_data/rdg/

Citation

When uisng this data in the context of scientific work, we kindly ask to cite the accompanying manuscript / preprint (below) in addtion to the dataset citation provided by Zenodo. 

Assmann, J.J., Akandil, C., Plekhanova, E., Le Moigne, A., Karsanaev, S.V., Maximov, T.C., Schaepman-Strub, G. (2025). Freshwater ponds create highly dynamic Arctic tundra landscapes. Preprint on Research Square. https://doi.org/10.21203/rs.3.rs-5581925/v1

Acknowledgements

We would like to thank all drone-pilots and field team members who contributed to the data collection during the field seasons 2014 – 2021, including Inge Grünberg (nee Juszak), Maitane Iturrate-Garcia and Vitalii Zemlianskii. This study was supported by the Swiss National Science Foundation (grant no. 178753) and the University Research Priority Program on Global Change and Biodiversity of the University of Zurich.