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dc.contributor.authorStereńczak, Krzysztof
dc.date.accessioned2014-09-22T20:58:36Z
dc.date.available2014-09-22T20:58:36Z
dc.date.issued2013-12
dc.identifier.otherDOI: 10.2478/frp-2013-0031
dc.identifier.urihttps://depot.ceon.pl/handle/123456789/5272
dc.description.abstractAirborne laser scanning (ALS) technology allows accurate information about the forest environment to be obtained. The high precision of ALS allows the detection of individual trees. An individual tree is composed of many elements and requires relatively complex algorithms. Factors that determine and affect the accuracy of calculating the number of trees can be split into the following groups: biological factors, technical factors related to the flight and data acquisition parameters, technical factors related to data processing, problems of results verification. The article synthesizes the main problems arising during the development of methods for detection of individual trees and acquisition of their characteristics in a managed forest in Central Europe.pl_PL
dc.language.isoenpl_PL
dc.publisherInstytut Badawczy Leśnictwapl_PL
dc.rightsCreative Commons Uznanie autorstwa na tych samych warunkach 3.0 Polska
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/pl/legalcode
dc.subjectaccuracypl_PL
dc.subjectCrown Height Modelpl_PL
dc.subjecttree detectionpl_PL
dc.subjectsegmentationpl_PL
dc.titleFactors influencing individual tree crowns detection based on airborne laser scanning datapl_PL
dc.typeinfo:eu-repo/semantics/articlepl_PL
dc.contributor.organizationInstytut Badawczy Leśnictwa, Zakład Informatyki i Modelowania, Sękocin Starypl_PL
dc.description.epersonPrzemysław Szmit
dc.rights.DELETETHISFIELDinfo:eu-repo/semantics/openAccess


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Creative Commons Uznanie autorstwa na tych samych warunkach 3.0 Polska
Except where otherwise noted, this item's license is described as Creative Commons Uznanie autorstwa na tych samych warunkach 3.0 Polska