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Concepts towards nation-wide individual tree data and virtual forests

Referentgranskad
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DOI
10.3390/ ijgi13120424
Hyyppä, Matti ; Turppa, Tuomas ; Hyyti, Heikki; Yu, Xiaowei; Handolin, Hannu; Kukko, Antero; Hyyppä,...
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION2024Publicationer information ikon

Individual tree biomass estimation using terrestrial laser scanning

Referentgranskad
DOI
10.1016/j.isprsjprs.2012.10.003
Kankare, Ville; Holopainen, Markus; Vastaranta, Mikko; Puttonen, Eetu; Yu, Xiaowei; Hyyppä, Juha; Va...
Isprs journal of photogrammetry and remote sensing2013Publicationer information ikon

Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests

Referentgranskad
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DOI
10.3390/ijgi13120424
Hyyppä, Matti; Turppa, Tuomas; Hyyti, Heikki; Yu, Xiaowei; Handolin, Hannu; Kukko, Antero; Hyyppä, J...
ISPRS International Journal of Geo-Information2024Publicationer information ikon

Effects of individual tree detection error sources on forest management planning calculations

Referentgranskad
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DOI
10.3390/rs3081614
Vastaranta, Mikko; Holopainen, Markus; Yu, Xiaowei; Hyyppä, Juha; Mäkinen, Antti; Rasinmäki, Jussi; ...
Remote sensing2011Publicationer information ikon

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

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DOI
10.3390/rs4040950
Kaartinen, Harri; Hyyppä, Juha; Yu, Xiaowei; Vastaranta, Mikko; Hyyppä, Hannu; Kukko, Antero; Holopa...
Remote sensing2012Publicationer information ikon

Tree Crown Determination Using Terresterial Imaging for Laser Scanned Individual Tree Recognition

Pyysalo, Ulla
-2004Publicationer information ikon

Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data

Referentgranskad
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DOI
10.3390/rs11111263
Xiao, Wen; Zaforemska, Aleksandra; Smigaj, Magdalena; Wang, Yunsheng; Gaulton, Rachel
Remote Sensing2019Publicationer information ikon

Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds

Referentgranskad
Hyyppä, J.; Mielonen, T.; Hyyppä, H.; Maltamo, M.; Honkavaara, E.; Yu, X.; Kaartinen, H.
International Society for Photogrammetry and Remote Sensing (ISPRS)2005Publicationer information ikon

Comparison of area based and individual tree based methods for predicting plot level attributes

Referentgranskad
Yu, Xiaowei; Hyyppä, Juha; Holopainen, Markus; Vastaranta, Mikko
Remote Sensing2010Publicationer information ikon

Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data

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DOI
10.1109/igarss53475.2024.10640418
Guiotte, Florent; Kostensalo, Joel; Laaksonen, Jorma
IEEE International geoscience and remote sensing symposium proceedings2024

Concepts towards nation-wide individual tree data and virtual forests

Referentgranskad
Öppen tillgång
DOI
10.3390/ ijgi13120424
2024

Individual tree biomass estimation using terrestrial laser scanning

Referentgranskad
DOI
10.1016/j.isprsjprs.2012.10.003
2013

Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests

Referentgranskad
Öppen tillgång
DOI
10.3390/ijgi13120424
2024

Effects of individual tree detection error sources on forest management planning calculations

Referentgranskad
Öppen tillgång
DOI
10.3390/rs3081614
2011

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

Referentgranskad
Öppen tillgång
DOI
10.3390/rs4040950
2012

Tree Crown Determination Using Terresterial Imaging for Laser Scanned Individual Tree Recognition

2004

Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data

Referentgranskad
Öppen tillgång
DOI
10.3390/rs11111263
2019

Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds

Referentgranskad
2005

Comparison of area based and individual tree based methods for predicting plot level attributes

Referentgranskad
2010

Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data

Referentgranskad
Öppen tillgång
DOI
10.1109/igarss53475.2024.10640418
2024