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
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2025-05-26 • DOI registered: 2025-06-25
Abstract:
This data set presents LiDAR 3D point clouds with centimetre precision. It is a collection of processed point clouds that were collected by a UAV-based laser scanner (YellowScan Mapper). The region covered is part of the Northern Boreal Forest and the Tundra-Taiga Ecotone (TTE). The aim is to map the forest structure, and in particular to segment individual trees. Additionally, mapping arctic lakes and conduct ecological studies (beavers). This allows structural and biophysical information to be derived on forest condition, structure, topography, morphology, disturbance (wildfire, thaw slumps, wind events), thermokarst lakeshore interfaces, etc. The fieldwork was planned and carried out by researchers from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the North-Eastern Federal University of Yakutsk (NEFU). It took place in the late summer of 2021, from 17 July to 29 August. The principal study areas are the intramontane Oymyakon region in the Verkhoyansk mountain range near Lake Ulu, and the central-eastern Yakutian lowlands eas of the Lena river close to Yakutsk, with a slightly different ecological setting. At a multitude of sites, we pre-selected locations based on satellite data. At each site, transects at least 50 m wide and 500 m long were flown in a grid of parallel flight lines 20 m apart. At the ground level, mostly one or, in rare cases, multiple 30-metre-diameter plots were inventoried as ground reference data. The recordings were made at an altitude of 60-100 m above ground liftoff at a speed of 5 m/s, as recommended by the manufacturer. Before each flight, a GPS base station was set up to collect data for later geographic correction.
Keyword(s):
Related code / software:
Farkas, Luca; Kruse, Stefan (2024): StefanKruse/PC2RCHIVE: PC2RCHIVE: a FAIR and easy point cloud archiving GUI [software]. Zenodo, https://doi.org/10.5281/ZENODO.14534516
Project(s):
Funding:
Coverage:
Median Latitude: 62.278576 * Median Longitude: 133.083556 * South-bound Latitude: 61.737811 * West-bound Longitude: 130.111291 * North-bound Latitude: 63.436660 * East-bound Longitude: 142.956511
Date/Time Start: 2021-08-06T00:00:00 * Date/Time End: 2021-09-02T00:00:00
Minimum Elevation: 60.0 m * Maximum Elevation: 1444.0 m
Event(s):
EN21201_Lidar (EN21201) * Latitude: 63.217780 * Longitude: 139.543710 * Date/Time: 2021-08-06T00:00:00 * Elevation: 1280.0 m * Campaign: RU-Land_2021_Yakutia * Basis: AWI Arctic Land Expedition * Method/Device: Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
EN21202_Lidar * Latitude Start: 63.329950 * Longitude Start: 141.070550 * Latitude End: 63.321360 * Longitude End: 141.079100 * Date/Time Start: 2021-08-07T06:58:00 * Date/Time End: 2021-08-07T07:08:00 * Elevation: 80.0 m * O2A Registry URI: https://registry.o2a-data.de/items/8679 * Campaign: RU-Land_2021_Yakutia * Basis: AWI Arctic Land Expedition * Method/Device: Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
EN21203_Lidar * Latitude Start: 63.435760 * Longitude Start: 140.404730 * Latitude End: 63.425750 * Longitude End: 140.415840 * Date/Time Start: 2021-08-08T03:39:29 * Date/Time End: 2021-08-08T05:29:00 * Elevation: 80.0 m * O2A Registry URI: https://registry.o2a-data.de/items/8679 * Campaign: RU-Land_2021_Yakutia * Basis: AWI Arctic Land Expedition * Method/Device: Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
Comment:
Cloth-Simulation-Filter parameters: Classification threshold (m) is the maximum distance between the cloth and a point to be classified as ground (Values used: 0.1/0.2/0.3). Cloth resolution (m) sets the cloth's cell size and is set to a value that ensures flexibility for following the micro-topography, while not being smaller than the inner diameter of the high, hollow vegetation bodies (Values used: 0.1/0.2). Rigidness is the first order stiffness of the cloth (Values used: 1 - flat scenes, 2 - minor relief, 3 - steep slopes).
Data comment on point clouds/.las-file: The point clouds are provided in data format LAS (v1.2 format 3). It contains the RGB information if available. Further, the scalar fields are: (1) intensity, (2) return number of the points, (3) number of returns for the point, (4) classification, either 0 which is aboveground or 2 wich is ground, (5) scan angle rank, (7) point source ID, which is the flight strip, (8) GPS time, and, (9) treeID for the "..._treesonly"-files, which contains unique integer IDs for each segmented tree.
This data was collected during the international joint Russian-German expedition 'RU-Land_2021_Yakutia' in collaboration between the Alfred-Wegener-Institute, Helmholtz Centre for Polar and Marine Research in Potsdam, and the North-Eastern Federal University of Yakutsk, with UAV flight support by the Technical University Berlin. Additional funding for equipment was provided by the Potsdamer InnoLab für Arktisforschung grant no. F221-08-AWI/001/002, namely the Brandenburg Ministry for Science, Research and Culture. This project has been supported by the DataHub Information Infrastructure funds, projects BorFIT and PC2RCHIVE.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Kruse, Stefan | |||
| 2 | Sample code/label | Sample label | Kruse, Stefan | Point cloud name | ||
| 3 | Date/time start | Date/time start | Kruse, Stefan | Date and starting time | ||
| 4 | LATITUDE | Latitude | Kruse, Stefan | Geocode | ||
| 5 | LONGITUDE | Longitude | Kruse, Stefan | Geocode | ||
| 6 | UTM Zone, Universal Transverse Mercator | UTM Zone | Kruse, Stefan | |||
| 7 | UTM Easting, Universal Transverse Mercator | UTM east | m | Kruse, Stefan | Extent of the area in UTM coordinates as bounding box, Eastings minimum | |
| 8 | UTM Northing, Universal Transverse Mercator | UTM north | m | Kruse, Stefan | Extent of the area in UTM coordinates as bounding box, Northings minimum | |
| 9 | UTM Easting, Universal Transverse Mercator | UTM east | m | Kruse, Stefan | Extent of the area in UTM coordinates as bounding box, Eastings maximum | |
| 10 | UTM Northing, Universal Transverse Mercator | UTM north | m | Kruse, Stefan | Extent of the area in UTM coordinates as bounding box, Northings maximum | |
| 11 | Area | Area | m2 | Kruse, Stefan | ||
| 12 | Number of points | Points | # | Kruse, Stefan | Total number of points | |
| 13 | Point density | Point dens | #/m2 | Kruse, Stefan | Number of points per area | |
| 14 | Color description | Color desc | Kruse, Stefan | Points are RGB colored (yes/no) | ||
| 15 | Device type | Device | Kruse, Stefan | Light detection and ranging scanner (LiDAR), YellowScan, Mapper | Laserscanning device | |
| 16 | Processing software | PS | Kruse, Stefan | Used software for processing | ||
| 17 | Method comment | Method comm | Kruse, Stefan | Mode of strip alignment that conducted in the processing | ||
| 18 | Correction description | Corr | Kruse, Stefan | Information about the correction of the position | ||
| 19 | Point cloud, LAS file | LAS | Kruse, Stefan | Light detection and ranging scanner (LiDAR), YellowScan, Mapper | Ground classified point cloud | |
| 20 | Classification | Classification | Kruse, Stefan | Statement about the ground classification source | ||
| 21 | Parameter | Parameter | Kruse, Stefan | see comment | Cloth-Simulation-Filter parameters: Classification threshold (m), Cloth resolution (m), Rigidness | |
| 22 | Number of points, on ground | Points ground | # | Kruse, Stefan | Total number of ground points | |
| 23 | Tree height, maximum | Tree h max | m | Kruse, Stefan | Total number of above-ground point | |
| 24 | Resolution | Res | m | Kruse, Stefan | Resolution of the rasterized data (Digital Terrain Model DTM, Digital Surface Model DSM, Canopy Height Model CHM) | |
| 25 | Point cloud, LAS file | LAS | Kruse, Stefan | Light detection and ranging scanner (LiDAR), YellowScan, Mapper | Individual Tree Detection (ITD) point cloud | |
| 26 | Method comment | Method comm | Kruse, Stefan | Linear function for LMF | ||
| 27 | Tree height | Tree height | m | Kruse, Stefan | Tree segmentation parameter | |
| 28 | Number of points | Points | # | Kruse, Stefan | Total number of points in trees | |
| 29 | Number of trees | Trees | # | Kruse, Stefan | Total number of detected trees | |
| 30 | Tree crown diameter | Crown diam | m | Kruse, Stefan | Mean crown diameter of all detected trees | |
| 31 | Tree height | Tree height | m | Kruse, Stefan | Mean height of all detected trees | |
| 32 | Tree height, maximum | Tree h max | m | Kruse, Stefan | Maxiumum height of all detected trees | |
| 33 | Tree height, minimum | Tree h min | m | Kruse, Stefan | Minimum height of all detected trees | |
| 34 | Binary Object | Binary | Kruse, Stefan | report | ||
| 35 | Point cloud, LAS file | LAS | Kruse, Stefan | Light detection and ranging scanner (LiDAR), YellowScan, Mapper | aboveground point cloud | |
| 36 | Point cloud, LAS file | LAS | Kruse, Stefan | Light detection and ranging scanner (LiDAR), YellowScan, Mapper | ground point cloud | |
| 37 | Point cloud, LAS file | LAS | Kruse, Stefan | Light detection and ranging scanner (LiDAR), YellowScan, Mapper | point cloud | |
| 38 | Text file | TEXT | Kruse, Stefan | |||
| 39 | Image | IMAGE | Kruse, Stefan | ESRI footprint | ||
| 40 | Image | IMAGE | Kruse, Stefan | Open Street Map footprint | ||
| 41 | Image | IMAGE | Kruse, Stefan | aspect | ||
| 42 | Image | IMAGE | Kruse, Stefan | Canopy Height Model | ||
| 43 | Image | IMAGE | Kruse, Stefan | Canopy Height Model aggregated | ||
| 44 | Image | IMAGE | Kruse, Stefan | Digital Surface Model | ||
| 45 | Image | IMAGE | Kruse, Stefan | Digital Terrain Model | ||
| 46 | Image | IMAGE | Kruse, Stefan | slope | ||
| 47 | Geospatial vector, shapefiles | Shapefile | Kruse, Stefan | tree crown shapefiles | ||
| 48 | Geospatial vector, shapefiles | Shapefile | Kruse, Stefan | footprint shapefiles | ||
| 49 | Geospatial vector, shapefiles | Shapefile | Kruse, Stefan | trajectory shapefiles |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
4094 data points
Download Data
View dataset as HTML (shows only first 2000 rows)