Nitze, Ingmar; Lübker, Tillmann; Pohlabeln, Sina; Grosse, Guido (2025): Pan-Arctic Visualization of Landscape Change (2005-2024), Arctic PASSION Permafrost Service [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.983891
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Published: 2025-07-18 • DOI registered: 2025-08-16
Abstract:
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+, Landsat-8 OLI, and Landsat-9 OLI-2 imagery (cloud-cover less than 70%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2005 and 2024. 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 Brightness, Greenness, and Wetness over two decades at the individual pixel level, based on annually aggregated data. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters at 30 m 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, 2018). Here, we upscaled the processing to the circum-arctic permafrost region and applied it to the recent 20-year period from 2005 through 2024. 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 have been processed in Google Earth Engine as part of the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Pan-Arctic 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 dark blue tones, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes are shown in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, appearing in different colors depending on the time of the fire and the pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX; see References) and are available as a public web map service (WMS; see References), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.
Keyword(s):
Related to:
Nitze, Ingmar; Lübker, Tillmann; Grosse, Guido (2024): Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.964814
References:
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung; Arctic PASSION Project: Arctic Landscape Explorer (ALEX) [webpage]. https://alex.awi.de/
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung; Arctic PASSION Project: Public Web Map Service (WMS, Capabilities) [web service]. https://maps.awi.de/services/common/permafrost/wms?request=GetCapabilities&service=WMS
Arctic PASSION Project: Pan-Arctic observing System of Systems: Implementing Observations for societal Needs (Arctic PASSION) | Project website [webpage]. https://arcticpassion.eu/
Fraser, Robert; Olthof, Ian; Kokelj, Steven V; Lantz, Trevor C; Lacelle, Denis; Brooker, Alexander; Wolfe, Stephen A; Schwarz, Steve (2014): Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization. Remote Sensing, 6(11), 11533-11557, https://doi.org/10.3390/rs61111533
Nitze, Ingmar; Grosse, Guido (2016): Detection of landscape dynamics in the Arctic Lena Delta with temporally dense Landsat time-series stacks. Remote Sensing of Environment, 181, 27-41, https://doi.org/10.1016/j.rse.2016.03.038
Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nature Communications, 9(1), https://doi.org/10.1038/s41467-018-07663-3
Project(s):
CCI Permafrost (ESA_CCI_Permafrost_CCN2)
ESA GlobPermafrost (GlobPermafrost)
NSF Permafrost Discovery Gateway (Permafrost_Discovery_Gateway)
Funding:
Horizon 2020 (H2020), grant/award no. 101003472: Pan-Arctic observing System of Systems: Implementing Observations for societal Needs (Arctic PASSION)
Seventh Framework Programme (FP7), grant/award no. 338335: Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
Coverage:
Median Latitude: 54.000000 * Median Longitude: 0.000000 * South-bound Latitude: 27.000000 * West-bound Longitude: -180.000000 * North-bound Latitude: 81.000000 * East-bound Longitude: 180.000000
Date/Time Start: 2005-07-01T00:00:00 * Date/Time End: 2024-09-01T00:00:00
Event(s):
Arctic_PASSION_Permafrost_Service_2 * Latitude Start: 27.000000 * Longitude Start: -180.000000 * Latitude End: 81.000000 * Longitude End: 180.000000 * Date/Time Start: 2005-07-01T00:00:00 * Date/Time End: 2024-09-01T00:00:00 * Location: Circum-arctic permafrost region * Method/Device: Satellite remote sensing (SAT)
Comment:
Two Cloud Optimized GeoTIFF files are available: 'TCVIS-2005-2024_mosaic-west_cog-20050101-EPSG3857.tif' (file size: 126 GB) contains data for USA, Canada, Greenland, and Iceland (coverage: 180°W - 0°W, 41°N - 81°N), 'TCVIS-2005-2024_mosaic-east_cog-20050101-EPSG3857.tif' (file size: 180 GB) contains data for Norway, Sweden, Finland, Russia, Mongolia, and China (coverage: 3°E - 180°E, 27°N - 81°N).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 2 | Binary Object (Media Type) | Binary (Type) | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 3 | Binary Object (File Size) | Binary (Size) | Bytes | Nitze, Ingmar | Satellite remote sensing (SAT) | |
| 4 | Raster cell size | Raster cell size | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 5 | File content | Content | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 6 | Horizontal datum | Horizontal datum | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 7 | Longitude, westbound | Longitude west | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 8 | Longitude, eastbound | Longitude east | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 9 | Latitude, southbound | Latitude south | Nitze, Ingmar | Satellite remote sensing (SAT) | ||
| 10 | Latitude, northbound | Latitude north | Nitze, Ingmar | Satellite remote sensing (SAT) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 4 (ProcLevel4)
Size:
16 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Binary | 2 Binary (Type) | 3 Binary (Size) [Bytes] | 4 Raster cell size | 5 Content | 6 Horizontal datum | 7 Longitude west | 8 Longitude east | 9 Latitude south | 10 Latitude north |
|---|---|---|---|---|---|---|---|---|---|
| TCVIS-2005-2024_mosaic-east_cog-20050101-EPSG3857.tif | application/octet-stream | 180.5 GBytes | 30 m | Cloud Optimized GeoTIFF (COG) raster image | WGS 84, EPSG:3857 | 417420 | 20037420 | 3123450 | 16213830 |
| TCVIS-2005-2024_mosaic-west_cog-20050101-EPSG3857.tif | application/octet-stream | 126.6 GBytes | 30 m | Cloud Optimized GeoTIFF (COG) raster image | WGS 84, EPSG:3857 | -20037420 | -974040 | 5049270 | 16213830 |
