Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service

• Main Authors: Nitze, Ingmar, Lübker, Tillmann, Grosse, Guido
• Format: Dataset
• Language: English
• Published: PANGAEA 2024
• Subjects: Arctic_PASSION; Arctic_PASSION_Permafrost_Service; Arctic PASSION; Binary Object; Binary Object (File Size); Binary Object (Media Type); CCI Permafrost; Circum-arctic permafrost region; Coastline change; Earth observation; ESA_CCI_Permafrost_CCN2; ESA GlobPermafrost; File content; GlobPermafrost; Horizontal datum; Lake change; Lake drainage; Land cover change; Latitude; northbound; southbound; Longitude; eastbound; westbound; Multispectral index; NSF Permafrost Discovery Gateway; Pan-Arctic observing System of Systems: Implementing Observations for societal Needs; Permafrost_Discovery_Gateway; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Raster cell size; River bank erosion; SAT; satellite data; Satellite remote sensing; Shore erosion; Thaw slumping; thermokarst; Arctic; Canada; Greenland; Norway; Peta; Iceland; permafrost; Thermokarst; Alaska
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.964814; https://doi.org/10.1594/PANGAEA.964814

This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Panarctic requirements-driven Permafrost Service' of the Arctic PASSION project (see references). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in ...