Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zs. Koma"'
Publikováno v:
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://doaj.org/article/68220f5038604e43958421e9e67e3c55
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
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 15:1456-1460
Recent improvements in topographic LiDAR technology allow the detailed characterization of individual trees at both branch and leaf scale, providing more accurate information to support phenological and ecological research. However, an effective meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc98df7f845c0518448ed758349cad3b
https://doi.org/10.1109/lgrs.2018.2841429
https://doi.org/10.1109/lgrs.2018.2841429
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)
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/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/59/2017/
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