Please use this identifier to cite or link to this item:
Type of publication: Tezės kituose recenzuojamuose leidiniuose / Theses in other peer-reviewed publications (T1e)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Masaitis, Gediminas;Mozgeris, Gintautas;Augustaitis, Algirdas
Title: Estimating crown defoliation and chemical constituents in the needles of Scots pine (Pinus sylvestris L.) trees by means of in-situ acquired hyperspectral data
Is part of: The Nordic-Baltic Co-operation group for Forest Inventory EFINORD - SNS network meeting and scientific conference : August 21-23, 2013 Institute of Forest Management and Wood Science, Faculty of Forest and Ecology, Aleksandras Stulginskis University, Kaunas reg.,Lithuania : abstracts and brief profiles of participants. Akademija ( Kauno r.) : ASU leidybos centras, 2013
Extent: p. 24-25
Date: 2013
Abstract: The most successful studies in forest health assessment are those which involve using the potential of imaging spectrometry and concentrating on measuring of the spectral reflectance beyond the ability of human vision. Thus, we consider the hyperspectral imaging as a technique having a great potential for forest health assessment. This study is dealing with the estimation of crown defoliation and concentrations of some chemical constituents in the needles of Scots pine (Pinus sylvestris L.) trees by means of in-situ acquired hyperspectral data. Needle samples from 73 Scots pine trees having crown defoliation in the range from 5% to 80% (using 5% gradation) were collected in two mature stands located in eastern Lithuania. The concentrations of ten chemical elements in the needles were also measured. The hyperspectral reflectance data of the needles samples was recorded under laboratory conditions using Themis Vision Systems VNIR 400H portable scanning hyperspectral imaging camera operating in the 400-1000 nm range
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml6.92 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

CORE Recommender

Page view(s)

checked on Dec 9, 2020


checked on Dec 9, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.