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Machine learning techniques for acid sulfate soil mapping in southeastern Finland

Referentgranskad
Öppen tillgång
DOI
10.1016/j.geoderma.2021.115446
Estévez, Virginia; Beucher, Amélie; Mattbäck, Stefan; Boman, Anton; Auri, Jaakko; Björk, Kaj-Mikael;...
Geoderma2022

Acid sulfate soil mapping in western Finland: How to work with imbalanced datasets and machine learning

Referentgranskad
Öppen tillgång
DOI
10.1016/j.geoderma.2024.116916
Estévez, Virginia; Mattbäck, Stefan; Boman, Anton; Liwata-Kenttälä, Pauliina; Björk, Kaj-Mikael; Öst...
Geoderma2024

Improving prediction accuracy for acid sulfate soil mapping by means of variable selection

Referentgranskad
Öppen tillgång
DOI
10.3389/fenvs.2023.1213069
Estévez, Virginia; Mattbäck, Stefan; Boman, Anton; Beucher, Amélie; Björk, Kaj-Mikael; Österholm, Pe...
Frontiers in environmental science2023

Mapping the probability of forest snow disturbances in Finland

Referentgranskad
Öppen tillgång
DOI
10.1371/journal.pone.0254876
Suvanto, Susanne; Lehtonen, Aleksi; Nevalainen, Seppo; Lehtonen, Ilari; Viiri, Heli; Strandström, Mi...
PLoS ONE2021

Correction: Mapping the probability of forest snow disturbances in Finland

Referentgranskad
Öppen tillgång
DOI
10.1371/journal.pone.0257749
Suvanto, Susanne; Lehtonen, Aleksi; Nevalainen, Seppo; Lehtonen, Ilari; Viiri, Heli; Strandström, Mi...
PLOS ONE2021

AVHRR-based forest probability mapping and reference data collection method

Referentgranskad
Häme, Tuomas; Andersson, Kaj; Rauste, Yrjö; Väätäinen, Seppo; Lohi, Anssi; Stenberg, Pauline; Sarkea...
International Symposium on Digital Earth1999

Density forecasting for failure probability in manufacturing

Referentgranskad
DOI
10.1504/EJIE.2015.070320
Juutilainen, Ilmari; Tamminen, Satu; Röning, Juha
European journal of industrial engineering2015

Mapping peat soil moisture under oil palm plantation and tropical forest in Sarawak

Referentgranskad
Öppen tillgång
DOI
10.19189/MaP.2022.OMB.StA.2370
Ngau, Laura, D.; Fong, Sim, S.; Khoon, Kho L.; Rumpang, Elisa; Vasander, Harri; Jauhiainen, Jyrki; Y...
Mires and Peat2022

Fuzzy logic for acid sulfate soil mapping: Application to the southern part of the Finnish coastal areas

Referentgranskad
DOI
10.1016/j.geoderma.2014.03.004
Amélie Beucher; Sören Fröjdö; Peter Österholm; Annu Martinkauppi; Peter Edén
Geoderma2014

Sustainable soil management: Soil knowledge use and gaps in Europe

Referentgranskad
DOI
10.1111/ejss.13439
Thorsøe, Martin Hvarregaard; Keesstra, Saskia; De Boever, Maarten; Buchová, Kristina; Bøe, Frederik;...
European Journal of Soil Science2023

Machine learning techniques for acid sulfate soil mapping in southeastern Finland

Referentgranskad
Öppen tillgång
DOI
10.1016/j.geoderma.2021.115446
2022

Acid sulfate soil mapping in western Finland: How to work with imbalanced datasets and machine learning

Referentgranskad
Öppen tillgång
DOI
10.1016/j.geoderma.2024.116916
2024

Improving prediction accuracy for acid sulfate soil mapping by means of variable selection

Referentgranskad
Öppen tillgång
DOI
10.3389/fenvs.2023.1213069
2023

Mapping the probability of forest snow disturbances in Finland

Referentgranskad
Öppen tillgång
DOI
10.1371/journal.pone.0254876
2021

Correction: Mapping the probability of forest snow disturbances in Finland

Referentgranskad
Öppen tillgång
DOI
10.1371/journal.pone.0257749
2021

AVHRR-based forest probability mapping and reference data collection method

Referentgranskad
1999

Density forecasting for failure probability in manufacturing

Referentgranskad
DOI
10.1504/EJIE.2015.070320
2015

Mapping peat soil moisture under oil palm plantation and tropical forest in Sarawak

Referentgranskad
Öppen tillgång
DOI
10.19189/MaP.2022.OMB.StA.2370
2022

Fuzzy logic for acid sulfate soil mapping: Application to the southern part of the Finnish coastal areas

Referentgranskad
DOI
10.1016/j.geoderma.2014.03.004
2014

Sustainable soil management: Soil knowledge use and gaps in Europe

Referentgranskad
DOI
10.1111/ejss.13439
2023