Multi-source mapping of peatland types – A comparison between five high-latitude landscapes: Remote sensing predictor variables and field reference data
SND-ID: 2024-360. Version: 1. DOI: https://doi.org/10.48360/zgqx-7524
Citation
Creator/Principal investigator(s)
Martin Karlson
- Linköping University
Research principal
Description
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 in 2024.
Data contains personal data
No
Language
Data format / data structure
Identifiers
Research area
Physical geography (Standard för svensk indelning av forskningsämnen 2011)
Remote sensing (Standard för svensk indelning av forskningsämnen 2011)
Keywords
Karlson, M., & Bastviken, D. (2023).
Multi-source mapping of peatland types
using Sentinel-1, Sentinel-2, and terrain
derivatives—A comparison between
five high-latitude landscapes. Journal of
Geophysical Research: Biogeosciences,
128, e2022JG007195. https://doi.
org/10.1029/2022JG007195
URN:
urn:nbn:se:liu:diva-193214
DOI:
https://doi.org/10.1029/2022jg007195
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