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Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Mozgeris, Gintautas;Augustaitis, Algirdas;Gečionis, Andrius
Title: Small Format Aerial Images to Estimate the Pine Crown Defoliation
Is part of: Rural development 2011 : the fifth international scientific conference, 24-25 November, 2011, Akademija : proceedings. Akademija : Aleksandras Stulginskis University, Vol. 5, b. 2 (2011)
Extent: p. 452-458
Date: 2011
Keywords: Aerial images;Tree crown defoliation;Non-parametric estimators
Abstract: The paper discusses the opportunities of using small format aerial images to estimate the pine crown defoliation. Test area in eastern part of Lithuania was photographed using Canon EOS-1DsMark II digital camera, installed on-board SkyArrow ultra-light aircraft. Camera lenses were adopted to capture images corresponding to the conventional color-infrared photography. Ground sampling density of acquired images was 9 cm. Crown defoliation in the field was assessed for more than 500 trees located on 46 sample plots. 89% of field surveyed trees were identified on rectified aerial images. The individual crown defoliations were estimated using two non-parametric estimation techniques - most similar neighbor and k-nearest neighbor and small format aerial image characteristics as the auxiliary variables. The prediction root mean square errors were at two levels – around 9-11% for 170-years old trees and around 11-15% for the 65-years old trees. Accuracy of individual crown defoliation class prediction ranged from weak to moderate. Defoliation prediction root mean square errors at a sample plot level were 5.07% and 1.58% for 65-years and 170-years old stands respectively
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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