URBAN TREE CLASSIFICATION USING FULL-WAVEFORM AIRBORNE LASER SCANNING

Autor: Zs. Koma, K. Koenig, B. Höfle

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-3, Pp 185-192 (2016)

Vegetation mapping in urban environments plays an important role in biological research and urban management. Airborne laser scanning provides detailed 3D geodata, which allows to classify single trees into different taxa. Until now, research dealing

Externí odkaz: https://doaj.org/article/2216b5a4f5f14ed0a987fd3fb55b6d8d

SIMULATING VARIOUS TERRESTRIAL AND UAV LIDAR SCANNING CONFIGURATIONS FOR UNDERSTORY FOREST STRUCTURE MODELLING

Autor: M. Hämmerle, N. Lukač, K.-C. Chen, Zs. Koma, C.-K. Wang, K. Anders, B. Höfle

Publikováno v: ISPRS Geospatial Week 2017, 18-22 September, Wuhan, China, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. i-2/w4, pp. 59-65, 2017.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W4, Pp 59-65 (2017)

Information about the 3D structure of understory vegetation is of high relevance in forestry research and management (e.g., for complete biomass estimations). However, it has been hardly investigated systematically with state-of-the-art methods such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a468ad03221cf871223375878b5e60c1
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/59/2017/

Automated recognition of quasi-planar ignimbrite sheets and paleo-surfaces via robust segmentation of DTM - examples from the Western Cordillera of the Central Andes

Autor: B. Székely, D. Karátson, Zs. Koma, P. Dorninger, G. Wörner, M. Brandmeier, C. Nothegger

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::586071a31dc342aa91ccae0cd1143d19

Analysis of multitemporal laserscanned DTMs of an active landslide (Doren, Western Austria) using a robust planefitting segmentation

Autor: Zs. Koma, A. Pocsai, B. Székely, P. Dorninger, A. Zámolyi, A. Roncat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eec34c8010dcb820287fc0d6fe5b7f94

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model.

Autor: Enyedi, Péter¹ (AUTHOR), Pap, Melinda² (AUTHOR), Kovács, Zoltán¹ (AUTHOR) kovacs.zoltan@science.unideb.hu, Takács-Szilágyi, László¹ (AUTHOR), Szabó, Szilárd¹ (AUTHOR)

Publikováno v: International Journal of Digital Earth. Sep2019, Vol. 12 Issue 9, p1067-1082. 16p.