Detecting spatial patterns of land cover and methane fluxes with remote sensing in Pallastunturi, Finland

• Main Author: Rauth, Ella
• Other Authors: Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta, University of Helsinki, Faculty of Science, Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten
• Format: Master Thesis
• Language: English
• Published: Helsingin yliopisto 2022
• Subjects: random forest; remote sensing; land cover; methane; peatland; Datatieteen maisteriohjelma; Master's Programme in Data Science; Magisterprogrammet i data science; ei opintosuuntaa; no specialization; ingen studieinriktning; Pallastunturi; Tundra
• Online Access: http://hdl.handle.net/10138/344123

Northern peatlands are a large source of methane (CH4) to the atmosphere and can vary strongly depending on local environmental conditions. However, few studies have mapped fine-grained CH4 fluxes at the landscape-level. The aim of this study was to predict land cover and CH4 flux patterns in Pallas...