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Auteur Mari Kukkonen
Commentaire :
Department of Biological and Environmental Sciences, P.O. Box 27, 00014, University of Helsinki, Finland
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Documents disponibles écrits par cet auteur (2)
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Image matching as a data source for forest inventory – Comparison of semi-global matching and next-generation automatic terrain extraction algorithms in a typical managed boreal forest environment / Mari Kukkonen in International journal of applied Earth observation and geoinformation, vol 60 (August 2017)
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Titre : Image matching as a data source for forest inventory – Comparison of semi-global matching and next-generation automatic terrain extraction algorithms in a typical managed boreal forest environment Type de document : Article/Communication Auteurs : Mari Kukkonen, Auteur ; Matti Maltamo, Auteur ; Petteri Packalen, Auteur Année de publication : 2017 Article en page(s) : pp 11 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] forêt boréale
[Termes IGN] image aérienne
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] modèle numérique de terrain
[Termes IGN] semis de points
[Termes IGN] sous-boisRésumé : (auteur) Image matching is emerging as a compelling alternative to airborne laser scanning (ALS) as a data source for forest inventory and management. There is currently an open discussion in the forest inventory community about whether, and to what extent, the new method can be applied to practical inventory campaigns. This paper aims to contribute to this discussion by comparing two different image matching algorithms (Semi-Global Matching [SGM] and Next-Generation Automatic Terrain Extraction [NGATE]) and ALS in a typical managed boreal forest environment in southern Finland. Spectral features from unrectified aerial images were included in the modeling and the potential of image matching in areas without a high resolution digital terrain model (DTM) was also explored. Plot level predictions for total volume, stem number, basal area, height of basal area median tree and diameter of basal area median tree were modeled using an area-based approach. Plot level dominant tree species were predicted using a random forest algorithm, also using an area-based approach. The statistical difference between the error rates from different datasets was evaluated using a bootstrap method. Results showed that ALS outperformed image matching with every forest attribute, even when a high resolution DTM was used for height normalization and spectral information from images was included. Dominant tree species classification with image matching achieved accuracy levels similar to ALS regardless of the resolution of the DTM when spectral metrics were used. Neither of the image matching algorithms consistently outperformed the other, but there were noticeably different error rates depending on the parameter configuration, spectral band, resolution of DTM, or response variable. This study showed that image matching provides reasonable point cloud data for forest inventory purposes, especially when a high resolution DTM is available and information from the understory is redundant. Numéro de notice : A2017-364 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2017.03.012 En ligne : https://doi.org/10.1016/j.jag.2017.03.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85791
in International journal of applied Earth observation and geoinformation > vol 60 (August 2017) . - pp 11 - 21[article]Comparing floristic composition in treefall gaps of certified, conventionally managed and natural forests of northern Honduras / Mari Kukkonen in Annals of Forest Science, Vol 66 n° 8 (December 2009)
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Titre : Comparing floristic composition in treefall gaps of certified, conventionally managed and natural forests of northern Honduras Titre original : Comparaison de la composition floristique dans les trouées d'abattage d'arbres dans les forêts certifiées, conventionnellement gérées et naturelles du Nord du Honduras Type de document : Article/Communication Auteurs : Mari Kukkonen, Auteur ; Stefan Hohnwald, Auteur Année de publication : 2009 Article en page(s) : n° 809 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] certification forestière
[Termes IGN] déboisement
[Termes IGN] exploitation forestière
[Termes IGN] flore forestière
[Termes IGN] Honduras
[Vedettes matières IGN] SylvicultureRésumé : (Auteur) Forest certification sets requirements for minimizing the impacts of logging on the natural structure and floristic composition of forests. We assessed the impact of certification by comparing the floristic composition of 52 taxa of trees and shrubs in the treefall gaps of certified, conventionally managed and protected forests in northern Honduras. The highest abundance of light-benefiting taxa was found in certified forests, whereas conventionally managed forests were floristically more similar to natural forests. The environmental conditions measured in certified gaps were not favourable for a natural forest floristic composition. Past logging may have altered the species composition in certified forests relatively more than in conventionally managed forests. This implies that the need for restoration operations should be considered in certification requirements, along with landscape-level planning to enhance post-logging recovery. Numéro de notice : A2009-615 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1051/forest/2009070 Date de publication en ligne : 25/11/2009 En ligne : https://www.afs-journal.org/articles/forest/full_html/2009/08/f09017/f09017.html Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=72898
in Annals of Forest Science > Vol 66 n° 8 (December 2009) . - n° 809[article]Exemplaires(1)
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