Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing

The majority of Finnish forests (95%) are certified by the Programme for the Endorsement of Forest Certification (PEFC). It is a worldwide leading forest certification scheme. The aim of this study is to analyze the Finnish National Standard of PEFC certification and identify the indicators that can...

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Published in:Forests
Main Authors: Eugene Lopatin, Maxim Trishkin, Olga Gavrilova
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2016
Subjects:
Online Access:https://doi.org/10.3390/f7040085
https://doaj.org/article/ebb8d9be0fae42e98e9fe2b37ab2a2f2
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spelling ftdoajarticles:oai:doaj.org/article:ebb8d9be0fae42e98e9fe2b37ab2a2f2 2023-05-15T17:42:43+02:00 Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing Eugene Lopatin Maxim Trishkin Olga Gavrilova 2016-04-01T00:00:00Z https://doi.org/10.3390/f7040085 https://doaj.org/article/ebb8d9be0fae42e98e9fe2b37ab2a2f2 EN eng MDPI AG http://www.mdpi.com/1999-4907/7/4/85 https://doaj.org/toc/1999-4907 1999-4907 doi:10.3390/f7040085 https://doaj.org/article/ebb8d9be0fae42e98e9fe2b37ab2a2f2 Forests, Vol 7, Iss 4, p 85 (2016) PEFC Finland RS-GIS Landsat indicators Plant ecology QK900-989 article 2016 ftdoajarticles https://doi.org/10.3390/f7040085 2022-12-31T04:26:45Z The majority of Finnish forests (95%) are certified by the Programme for the Endorsement of Forest Certification (PEFC). It is a worldwide leading forest certification scheme. The aim of this study is to analyze the Finnish National Standard of PEFC certification and identify the indicators that can be reliably estimated with remote sensing (RS) techniques. The retrieved data are further verified with a chosen geographical information system (GIS) application. The rapid increase in certified areas globally has created a certain level of mistrust that makes the evaluation by certification bodies (CB) questionable. Firstly, the area of the field audit is limited, and the verification results are based on sampling techniques. Secondly, the evaluation of the indicators of sustainable forest management (SFM) is based on auditor expertise and thus is prone to bias. Thirdly, the actual condition of large forest stands in Eastern and Northern Finland are not easy to determine and verify. Thus, PEFC certification in Finland, in particular, faces numerous challenges in regard to the quality of field assessment due to the intensive forest management model with a high number of annual felling sites. At the same time, small scale and scattered harvesting sites are difficult to assess. Our proposed approach combined with remote assessment reliably verified 18% of the standard and could substantially reduce the costs associated with field audits in Finland. The results from our verification analysis are spatially explicit and geographically referenced and can be published in open access portals for interested parties. Moreover, it provides improved transparency in field assessments for the PEFC certification. The novel approach proposed here requires further investigation at larger scales (e.g., national level). Article in Journal/Newspaper Northern Finland Directory of Open Access Journals: DOAJ Articles Forests 7 12 85
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic PEFC Finland
RS-GIS
Landsat
indicators
Plant ecology
QK900-989
spellingShingle PEFC Finland
RS-GIS
Landsat
indicators
Plant ecology
QK900-989
Eugene Lopatin
Maxim Trishkin
Olga Gavrilova
Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing
topic_facet PEFC Finland
RS-GIS
Landsat
indicators
Plant ecology
QK900-989
description The majority of Finnish forests (95%) are certified by the Programme for the Endorsement of Forest Certification (PEFC). It is a worldwide leading forest certification scheme. The aim of this study is to analyze the Finnish National Standard of PEFC certification and identify the indicators that can be reliably estimated with remote sensing (RS) techniques. The retrieved data are further verified with a chosen geographical information system (GIS) application. The rapid increase in certified areas globally has created a certain level of mistrust that makes the evaluation by certification bodies (CB) questionable. Firstly, the area of the field audit is limited, and the verification results are based on sampling techniques. Secondly, the evaluation of the indicators of sustainable forest management (SFM) is based on auditor expertise and thus is prone to bias. Thirdly, the actual condition of large forest stands in Eastern and Northern Finland are not easy to determine and verify. Thus, PEFC certification in Finland, in particular, faces numerous challenges in regard to the quality of field assessment due to the intensive forest management model with a high number of annual felling sites. At the same time, small scale and scattered harvesting sites are difficult to assess. Our proposed approach combined with remote assessment reliably verified 18% of the standard and could substantially reduce the costs associated with field audits in Finland. The results from our verification analysis are spatially explicit and geographically referenced and can be published in open access portals for interested parties. Moreover, it provides improved transparency in field assessments for the PEFC certification. The novel approach proposed here requires further investigation at larger scales (e.g., national level).
format Article in Journal/Newspaper
author Eugene Lopatin
Maxim Trishkin
Olga Gavrilova
author_facet Eugene Lopatin
Maxim Trishkin
Olga Gavrilova
author_sort Eugene Lopatin
title Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing
title_short Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing
title_full Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing
title_fullStr Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing
title_full_unstemmed Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing
title_sort assessment of compliance with pefc forest certification indicators with remote sensing
publisher MDPI AG
publishDate 2016
url https://doi.org/10.3390/f7040085
https://doaj.org/article/ebb8d9be0fae42e98e9fe2b37ab2a2f2
genre Northern Finland
genre_facet Northern Finland
op_source Forests, Vol 7, Iss 4, p 85 (2016)
op_relation http://www.mdpi.com/1999-4907/7/4/85
https://doaj.org/toc/1999-4907
1999-4907
doi:10.3390/f7040085
https://doaj.org/article/ebb8d9be0fae42e98e9fe2b37ab2a2f2
op_doi https://doi.org/10.3390/f7040085
container_title Forests
container_volume 7
container_issue 12
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