[{"name":"rimondini-2023-peatlands-2","title":"Maps of peatlands in the forested landscape of Sweden","summary":"This dataset contains binary raster maps showing presence-or-not of peatlands in the forested landscape of Sweden. Four different binary rasters are provided, representing different peatland definitions: 30, 40, 50 and 100 cm thickness of the organic (O) horizon.\r\n\r\nNorthern peatlands are major carbon deposits with important implications for the global climate system, and it is crucial to understand their spatial occurrence. These maps are of both societal and scientific value, and may be employed for spatial planning, estimate carbon stocks and evaluate climate change mitigation strategies.\r\n\r\nThe maps have a nationwide extent at 10 m spatial resolution and were produced by applying machine learning methods to soil data and LiDAR-based terrain indices. The soil data describes the thickness of the O-horizon and were extracted from the Swedish Forest Soil Inventory (SFSI) and the Peat archive of the Geological Survey of Sweden (SGU).","citations":"Rimondini, L., Gumbricht, T., Ahlstr\u00f6m, A., & Hugelius, G. (2023). Mapping of peatlands in the forested landscape of Sweden using lidar-based terrain indices. Earth System Science Data, 15(8), 3473\u20133482. https:\/\/doi.org\/10.5194\/essd-15-3473-2023","comments":"Depending on peatland definition, testing with a hold-out dataset indicated Accuracy of 0.89\u200a\u2013\u20600.91 and Matthew\u2019s correlation coefficient of 0.79\u200a\u2013\u20600.81. The final maps show a national forest peatland extent of 60,292\u200a\u2013\u200a71,996 km\u00b2, estimates which are in range with previous studies employing traditional soil maps.\r\n\r\n#### Version history\r\n\r\n##### Version 2\r\nData files and peatland extent updated and list of creators re-ordered.\r\n- Gotland and \u00d6land were removed from the maps, following conclusions drawn in the review of Rimondini et al. (2023).\r\n\r\n##### Version 1\r\nInitial release","category":"Terrestrial","subcategory":"Peat","keywords":"Peatland; Peatland extent; LiDAR; Machine learning; Soil carbon","scientist":"Lukas Rimondini, Thomas Gumbricht, Anders Ahlstr\u00f6m, Gustaf Hugelius","firstname":"Lukas","lastname":"Rimondini","address":"Department of Physical Geography; Stockholm University","postalcode":"SE-106 91","city":"Stockholm","province":"","country":"Sweden","parameters":"Earth science > Biosphere > Terrestrial ecosystems > Wetlands > Peatlands","location":"Continent > Europe > Northern Europe > Scandinavia > Sweden","progress":"Completed","language":"English","project":"Project affiliated to: Trafikverket FOI project \"V\u00e5tmarkers ekosystemtj\u00e4nster: p\u00e5verkan fr\u00e5n nya projekt och m\u00f6jligheter till klimatkompensation\", TRV 2020\/118654.","publisher":"Bolin Centre Database","version":"2","constrains":"","access":""}]