Airborne laser scanning single tree detection NEWFOR benchmark dataset

DOI

In total 14 different study areas in 4 countries of the Alpine Space are made available.

The following data are provided for each study area (number XX):

Airborne Laser Scanning data in XX_ALS.laz (LAZ format cf https://laszip.org/) Digital Terrain Model (DTM) in XX_DTM.tif (1x1m or 0.5x0.5m spatial resolution) Forest Inventory (FI) data in XX_ref.shp (ESRI shapefile) Area of Interest in XX_AoI.shp (ESRI shapefile) Metadata in XX_Metadata.pdf

Statistical Parameters about the FI data can be found in this publication:

Eysn, L.; Hollaus, M.; Lindberg, E.; Berger, F.; Monnet, J.-M.; Dalponte, M.; Kobal, M.; Pellegrini, M.; Lingua, E.; Mongus, D.; Pfeifer, N. A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space. Forests 2015, 6, 1721-1747. DOI:10.3390/f6051721

All study areas used in the publication are present in this dataset, except study areas number 05, 12, 13 and 14 (due to copyright issues).

Identifier
DOI https://doi.org/10.57745/BXJBVH
Related Identifier https://doi.org/10.3390/f6051721
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/BXJBVH
Provenance
Creator MONNET, Jean-Matthieu ORCID logo; EYSN, Lothar
Publisher Recherche Data Gouv
Contributor MONNET, Jean-Matthieu; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference European Regional Development Fund Alpine Space project 2-3-2-FR
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact MONNET, Jean-Matthieu (INRAE)
Representation
Resource Type Dataset
Format application/octet-stream; application/x-dbf; application/vnd.shp; application/vnd.shx; image/tiff; application/pdf
Size 2489231; 76; 236; 108; 170968; 214807; 22028; 10152; 2972; 823893; 68; 1772; 155571; 192857; 6595; 3068; 948; 794843; 154787; 192994; 3118; 1472; 492; 782493; 165804; 206840; 1471; 716; 276; 1914561; 40071; 189259; 6656; 3096; 956; 18162359; 77; 748; 129889; 188364; 22666386; 128279; 188582; 14464; 6680; 1980; 697411; 164021; 185889; 5009; 2340; 740; 792817; 162253; 186409; 6839; 3180; 980; 772169; 167884; 178286; 186514; 11292; 5224; 1564; 233100; 1863043; 139771; 3362; 1584; 524; 1488355; 139603; 2386; 1136; 396; 2119508; 139207; 7266; 3376; 1036; 1892446; 137525; 5741; 2676; 836
Version 1.0
Discipline Computer Science; Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences