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Machine learning techniques for acid sulfate soil mapping in southeastern Finland

Year of publication

2022

Authors

Estévez, Virginia; Beucher, Amélie; Mattbäck, Stefan; Boman, Anton; Auri, Jaakko; Björk, Kaj-Mikael; Österholm, Peter

Organizations and authors

Åbo Akademi University

Österholm Peter

Mattbäck Stefan

Björk Kaj Mikael

Beucher Amélie

Geological Survey of Finland

Auri Jaakko

Mattbäck Stefan

Boman Anton

Arcada University of Applied Sciences

Estévez Virginia

Björk Kaj-Mikael Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Geoderma

Publisher

Elsevier.

Volume

406

Article number

115446

ISSN

0016-7061

​Publication forum

56550

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Environmental engineering; Geosciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

Netherlands

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1016/j.geoderma.2021.115446

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes