Multi-source mapping of peatland types – A comparison between five high-latitude landscapes: Remote sensing predictor variables and field reference data ... : Multi-source mapping of peatland types – A comparison between five high-latitude landscapes: Remote sensing predictor variables and field reference data ...

• Main Author: Karlson, Martin
• Format: Dataset
• Language: English
• Published: Linköping University 2022
• Subjects: peatland types; myrtyper; classifications; klassifikationer; information; kunskap; societal objects; samhälleliga objekt; abstract objects; abstrakta objekt; objects; entiteter; Physical Geography; Naturgeografi; Remote Sensing; Fjärranalysteknik; Earth and Related Environmental Sciences; Geovetenskap och miljövetenskap; Environmental Engineering; FOS: Environmental engineering; Naturresursteknik; Engineering and Technology; Teknik; Natural Sciences; Naturvetenskap; Canada; Great Slave Lake; Hudson; Hudson Bay; Yukon; north slope; Northern Sweden; Alaska
• Online Access: https://dx.doi.org/10.5878/bw6d-r521; https://snd.se/catalogue/dataset/2024-360

Dataset used in the publication "Multi-source mapping of peatland types using Sentinel-1, Sentinel-2 and terrain derivatives – A comparison between five high-latitude landscapes". The dataset includes preprocessed predictor variables in image format (geoTIFF) from Sentinel-1, Sentinel-2 and Copernicus DEM for the five sites, including North Slope (Alaska), Yukon (Canada), Great Slave Lake (Canada), Hudson Bay Lowlands (Canada) and northern Sweden (Scandinavia). It also includes reference data (shape files) used for training and validation of classification models. The dataset includes preprocessed predictor variables in image format (geoTIFF) from Sentinel-1, Sentinel-2 and Copernicus DEM for the five sites, including North Slope (Alaska), Yukon (Canada), Great Slave Lake (Canada), Hudson Bay Lowlands (Canada) and northern Sweden (Scandinavia). It also includes reference data (shape files) used for training and validation of classification models. The dataset was originally published in DiVA and moved to SND ... : Se engelsk beskrivning för info. Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024. ...