Geospatial Data Set for Arctic Thaw Slumps
Author Information
Author(s): Yang Yili, Rodenhizer Heidi, Rogers Brendan M., Dean Jacqueline, Singh Ridhima, Windholz Tiffany, Poston Amanda, Potter Stefano, Zolkos Scott, Fiske Greg, Watts Jennifer, Huang Lingcao, Witharana Chandi, Nitze Ingmar, Nesterova Nina, Barth Sophia, Grosse Guido, Lantz Trevor, Runge Alexandra, Lombardo Luigi, Nicu Ionut Cristi, Rubensdotter Lena, Makopoulou Eirini, Natali Susan
Primary Institution: Woodwell Climate Research Center
Hypothesis
The study aims to create a comprehensive dataset for retrogressive thaw slumps (RTS) to improve understanding and mapping of these features across the Arctic.
Conclusion
The Arctic Retrogressive Thaw Slumps (ARTS) dataset provides a unified resource for studying RTS, enhancing collaboration and data sharing in Arctic permafrost research.
Supporting Evidence
- The ARTS dataset includes 23,529 RTS-present and 20,434 RTS-absent digitisations.
- The dataset is designed to be comprehensive, accessible, and adaptable for various RTS-related studies.
- A Data Curation Framework was proposed to standardize RTS digitisation processes.
- The dataset aims to facilitate collaboration and enhance data sharing across the Arctic permafrost research community.
Takeaway
Scientists made a big collection of data about thawing ground in the Arctic to help understand how it changes and affects the environment.
Methodology
The study compiled 20 peer-reviewed datasets of RTS features, creating a unified dataset with a Data Curation Framework for standardization.
Potential Biases
Potential biases from individual inventories could influence automated mapping models.
Limitations
The dataset may have biases due to different mapping standards used by various research groups.
Digital Object Identifier (DOI)
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