Supporting data for the paper "Using texture-based image segmentation and machine learning with high-resolution satellite imagery to assess permafrost degradation in the Russian High Arctic"

Accompanying data for the paper "Using texture-based image segmentation and machine learning with high-resolution satellite imagery to assess permafrost degradation in the Russian High Arctic" (Preprint: DOI 10.22541/essoar.173965735.56131153/v1). For the description of the available data please refer to the file: "README_explanation_folder_contents.txt". For the complete file list, please refer to the file: "README_complete_file_list.txt". Origin of the data used in this study: The original Hexagon (KH-9PC) imagery was provided by the United States Geological Survey Earth Resources Observation and Science (EROS) Center and can be freely downloaded from the EarthExplorer (https://earthexplorer.usgs.gov/). The georeferenced KH-9PC imagery is provided in this data repository. The SPOT-7 imagery (© Airbus DS) was provided through the Bundesamt für Kartographie und Geodäsie (German Federal Agency for Cartography and Geodesy) (project #843370_230713_079_003) and ESA through their Third Party Mission program (project ID-54054) under a Standard Multi END-Users Licence Agreement, which restricts data dissemination. Therefore this data cannot be shared.