Published April 4, 2024 | Version v2

Annual inventories of retrogressive thaw slumps across the Qinghai-Tibet Plateau from 2016 to 2022

  • 1. ROR icon Chinese University of Hong Kong
  • 2. ROR icon Lanzhou University
  • 3. State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences

Description

The dataset is retrogressive thaw slump inventories with annual intervals across the plateau from 2016 to 2022. It contains the boundaries of thaw slumps delineated yearly based on the PlanetScope Scenes with high resolution (3-5 m). The inventories were compiled semi-automatically by combining deep-learning detection and manual delineation. We assigned a unique ID to every RTS in 2022 and the corresponding polygons in previous years. For RTSs merged into one in 2022, we assigned the same ID to make them traceable. We also clustered the RTSs based on the locations. It is the first of this kind to provide annual large-scale thaw slump observations across the QTP and can potentially be a benchmark for monitoring permafrost and evaluating its impact. The vector file in shapefile format contains the boundary of each hot melt collapse. The name of the file is “QTP_RTS_YYYY”, with the ‘YYYY’ representing the year of the boundaries. Relevant attribute tables include unique numbers, area (units: m2), longitude and latitude, and clusters that RTSs are in, with the corresponding names of the table fields 'id', 'Area', 'Longitude', 'Latitude' and 'Cluster'.

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