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 orcid

Research principal

Linköping University rorId

Description

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 in 2024.

Data contains personal data

No

Language

Method and outcome

Data format / data structure

Data collection
Geographic coverage
Administrative information

Funding

  • Funding agency: Forskningsrådet Formas
  • Funding agency's reference number: 2018-00570

Identifiers

Topic and keywords

Research area

Physical geography (Standard för svensk indelning av forskningsämnen 2011)

Remote sensing (Standard för svensk indelning av forskningsämnen 2011)

Keywords

Peatland types

Publications

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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Published: 2022-05-16
Last updated: 2024-07-05