PANGAEA_980505
Reference dataset of individual trees from the Tundra-Taiga-Ecotone and Northern boreal forests BorFIT
Kruse, Stefan; Schladebach, Jacob; Broers, Jakob; Hao, Kunyan; Tretton, James; Gorshunova, Anna
Reference dataset of individual trees from the Tundra-Taiga-Ecotone and Northern boreal forests BorFIT
2026-06-03
PANGAEA
Dataset
https://doi.pangaea.de/10.1594/PANGAEA.980505
Investigator
Jacob
Schladebach
jacob.schladebach@awi.de
Earth Science
Event label
Other event
Sample code/label
Plot
Color description
Vegetation type
Major vegetation
Tree height
Model
LATITUDE
LONGITUDE
Binary Object
Landform
Biome
Location
Area/locality
Proposed International Geo Sample Number
International Generic Sample Number
geoscientificInformation
AK-Land_2023_Alaska_Forests
AK-Land_2024_WAlaska_Forests
boreal forest
CA-Land_2022_NWCanada_Forests
EN21201
EN21201_Lidar
EN21202_Lidar
EN21203_Lidar
EN21204
EN21204_Lidar
EN21205
EN21205_Lidar
EN21207
EN21207_Lidar
EN21209
EN21209_Lidar
EN21210
EN21210_Lidar
EN21211
EN21211_Lidar
EN21212
EN21212_Lidar
EN21213_Lidar
EN21215
EN21215_Lidar
EN21217_Lidar
EN21218
EN21218_Lidar
EN21220
EN21220_Lidar
EN21221
EN21221_Lidar
EN21224
EN21224_Lidar
EN21225
EN21225_Lidar
EN21228
EN21228_Lidar
EN21230
EN21230_Lidar
EN21232_Lidar
EN21233_Lidar
EN21234
EN21234_Lidar
EN21235
EN21235_Lidar
EN21236
EN21236_Lidar
EN21237
EN21237_Lidar
EN21238
EN21238_Lidar
EN21239
EN21239_Lidar
EN21240
EN21240_Lidar
EN21241
EN21241_Lidar
EN21244
EN21244_Lidar
EN21245
EN21245_Lidar
EN21247
EN21247_Lidar
EN21248
EN21248_Lidar
EN21249
EN21249_Lidar
EN21251
EN21251_Lidar
EN21252_Lidar
EN21253_Lidar
EN21255_Lidar
EN21257
EN21257_Lidar
EN21258
EN21258_Lidar
EN21260_Lidar
EN21261
EN21261_Lidar
EN21262
EN21262_Lidar
EN22002
EN22002_Lidar
EN22003
EN22003_Lidar
EN22005
EN22005_Lidar
EN22006
EN22006_Lidar
EN22009
EN22009_Lidar
EN22011
EN22011_Lidar
EN22012
EN22012_Lidar
EN22018
EN22018_Lidar
EN22019
EN22019_Lidar
EN22021
EN22021_Lidar
EN22032
EN22032_Lidar
EN22033
EN22033_Lidar
EN22037
EN22037_Lidar
EN22039
EN22039_Lidar
EN22047
EN22047_Lidar
EN22049
EN22049_Lidar
EN22052
EN22052_Lidar
EN22055
EN22055_Lidar
EN22058
EN22058_Lidar
EN22060
EN22060_Lidar
EN22062
EN22062_Lidar
EN22063
EN22063_Lidar
EN22065
EN22065_Lidar
EN22069
EN22069_Lidar
EN22071
EN22071_Lidar
EN23604_Lidar
EN23608_Lidar
EN23611_Lidar
EN23612_Lidar
EN23614_Lidar
EN23619_Lidar
EN23620
EN23620_Lidar
EN23621_Lidar
EN23622
EN23622_Lidar
EN23634_Lidar
EN23636_Lidar
EN23639_Lidar
EN23644_Lidar
EN23650_Lidar
EN23651_Lidar
EN23661_Lidar
EN23662
EN23662_Lidar
EN23666_Lidar
EN23668_Lidar
EN23675_Lidar
EN23676
EN23676_Lidar
EN23677_Lidar
EN23688
EN23688_Lidar
EN23699_Lidar
EN23700_Lidar
EN24110_Lidar
EN24112
EN24112_Lidar
EN24118_Lidar
EN24124_Lidar
Forest Transect
lidar remote sensing
Reference
RU-Land_2021_Yakutia
Tree segmentation
Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
see documentation
Light detection and ranging scanner (LiDAR), YellowScan, Mapper
AWI Arctic Land Expedition
2021-08-06
2024-07-06
Complete
58.74853844
68.72589969
130.1122653
-121.8371161
AWI_Envi
Polar Terrestrial Environmental Systems @ AWI
unrestricted
CC-BY-4.0: Creative Commons Attribution 4.0 International
English
PANGAEA
Data Publisher for Earth & Environmental Science
https://www.pangaea.de/
Data Center Contact
Michael
Diepenbroek
info@pangaea.de
Leobener Str.
Bremen
Bremen
28359
Germany
online
5072 data points
text/tab-separated-values
Schladebach, Jacob; Heim, Birgit; Enguehard, Léa; Wieczorek, Mareike; Broers, Jakob; Jackisch, Robert; Gloy, Josias; Hao, Kunyan; Tretton, James; Gorshunova, Anna; Kruse, Stefan (preprint): BorFIT: A Novel LiDAR-Based Training Dataset for Individual Tree Segmentation and Species Detection in northern boreal Forests. https://doi.org/10.5194/essd-2025-340
Kruse, Stefan; Enguehard, Léa; Juday, Glenn; Santosh, Panda; Badola, Anushree; Broers, Jakob; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Jackisch, Robert; Döpper, Veronika; Heim, Birgit (2025): Point clouds with ground point classification and individual tree segmentation of 28 northern boreal forest and tundra sites from UAV-based lidar surveys in western and central parts of Alaska in 2024 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.980757
Kruse, Stefan; Enguehard, Léa; Juday, Glenn; Santosh, Panda; Badola, Anushree; Broers, Jakob; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Jackisch, Robert; Döpper, Veronika; Heim, Birgit (2025): Point clouds with ground point classification and individual tree segmentation of 47 northern boreal forest and tundra sites from UAV-based lidar surveys in the eastern part of Alaska in 2023 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.980485
Kruse, Stefan; Gloy, Josias; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Döpper, Veronika; Heim, Birgit (2025): Point clouds with ground point classification and individual tree segmentation of 25 northern boreal forest and tundra sites from UAV-based lidar surveys in northwestern Canada in 2022 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.977771
Kruse, Stefan; Jackisch, Robert; Gloy, Josias; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Heim, Birgit; Kolmogorov, Alexei; Zakharov, Evgenii S; Pestryakova, Luidmila A; Förster, Michael; Kleinschmit, Birgit; Herzschuh, Ulrike (2025): Point clouds with ground point classification and individual tree segmentation of 89 northern boreal forest and tundra sites from UAV-based lidar surveys in Yakutia, Russia in 2021 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.980735
Schladebach, Jacob; Kruse, Stefan (2025): Product Guide - BorFIT: A Novel LiDAR-Based Training Dataset for Individual Tree Segmentation and Species Detection in northern boreal Forests. https://download.pangaea.de/reference/133868/attachments/Product%20Guide.pdf
Kruse, Stefan (2025): Manually assigned training data las files [dataset]. https://store.pangaea.de/Publications/Kruse_et_al_2025_BorFIT-training-data.zip
BorFIT is a comprehensive training dataset that aims at enhancing the segmentation of individual trees and species detection from LiDAR point clouds, specifically in boreal forests. This dataset comprises 385 LiDAR point clouds, each covering an area of 20×20 m² and containing up to 200 manually segmented trees. The data was collected from 145 sites across Yakutia, Canada, and Alaska between 2021 and 2024, strategically chosen to represent a bioclimatic gradient across the circumboreal region. The LiDAR surveys utilized a YellowScan LiDAR Mapper+ mounted on a UAV which surveyed the areas at an altitude of 70 m achieving an average point density of 1200 points/m² over an area of approximately 50×500 m². Up to 4 reference plots (depending on data quality and performed forest inventories) per point cloud were extracted, based on present tree heights to generate a representative subset of the original point cloud. Manual segmentation of trees was performed using the software CloudCompare. Based on these, a training data set for a randomForest classifier was prepared by assigning the species determination for a subset of individual trees per present species. The classifiers were then trained based on structural parameters from the point cloud, and if available, spectral information based on RGB imagery (CA,AK). Four classifiers were then utilized to predict the species of all segmented trees within the data set. The number coded species prediction was added to a new scalar field in the point clouds including a probability value as a indicator for prediction accuracy. The dataset encompasses various mostly northern boreal tree species, including Picea glauca, Picea mariana, Betula spp., and Larix laricina, among others. This diversity supports the analysis of species distribution and stand structure, crucial for understanding vegetation dynamics in response to climate change. The dataset's design not only addresses the limitations of existing AI-supported detection methods but also serves as a foundational resource for future research into boreal forest dynamics under global warming scenarios. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.980505"! ** Funding: The project was supported through DataHub Information Infrastructure funds, project BorFIT
Data: The *.laz files contain points with the following attributes: a. Tree; b. Species; c. Classification; d. Intensity; e. Return Number; f. Number of Returns; g. User Data; h. Synthetic Flag; i. Point Source ID; j. GPS Time
http://en.wikipedia.org/wiki/ISO_6709
LATITUDE
http://en.wikipedia.org/wiki/ISO_6709
LONGITUDE
http://www.igsn.org/
International Generic Sample Number
https://doi.org/10.5194/essd-2025-340
BorFIT: A Novel LiDAR-Based Training Dataset for Individual Tree Segmentation and Species Detection in northern boreal Forests
https://doi.pangaea.de/10.1594/PANGAEA.977771
Point clouds with ground point classification and individual tree segmentation of 25 northern boreal forest and tundra sites from UAV-based lidar surveys in northwestern Canada in 2022
https://doi.pangaea.de/10.1594/PANGAEA.980485
Point clouds with ground point classification and individual tree segmentation of 47 northern boreal forest and tundra sites from UAV-based lidar surveys in the eastern part of Alaska in 2023
https://doi.pangaea.de/10.1594/PANGAEA.980735
Point clouds with ground point classification and individual tree segmentation of 89 northern boreal forest and tundra sites from UAV-based lidar surveys in Yakutia, Russia in 2021
https://doi.pangaea.de/10.1594/PANGAEA.980757
Point clouds with ground point classification and individual tree segmentation of 28 northern boreal forest and tundra sites from UAV-based lidar surveys in western and central parts of Alaska in 2024
https://en.wikipedia.org/wiki/Biome
Biome
https://store.pangaea.de/Publications/Kruse_et_al_2025_BorFIT-training-data.zip
Manually assigned training data las files
https://www.awi.de/en/science/geosciences/polar-terrestrial-environmental-systems.html
AWI_Envi
DIF
9.4
2026-06-03
2026-06-03