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Pregled bibliografske jedinice broj: 751123

Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution


Balenović, Ivan; Seletković, Ante; Pernar, Renata; Jazbec, Anamarija
Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution // Annals of Forest Research, 58 (2015), 1; 125-143 doi:10.15287/afr.2015.300 (međunarodna recenzija, članak, znanstveni)


Naslov
Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution

Autori
Balenović, Ivan ; Seletković, Ante ; Pernar, Renata ; Jazbec, Anamarija

Izvornik
Annals of Forest Research (1844-8135) 58 (2015), 1; 125-143

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Tree height; mean stand height; stereo-measurement; digital aerial images; digital photogrammetric workstation

Sažetak
Tree height is one of the more fundamental measurements in forest inventories. In addition to classical field measurements, tree height may be estimated by remote sensing methods, such as by photogrammetric measurements of aerial images. Since it has been found and generally accepted that the extraction of forest and tree data from classical analogue aerial photographs has certain limitations, especially in the densely canopied forests, the usefulness of photogrammetric-based forest inventory in many countries remains a controversial issue. Therefore, this paper focuses on investigating the possibility of applying digital photogrammetric method to estimate mean stand height. Photogrammetric stereo-measurements of tree height were conducted on colour infrared images of high spatial resolution (ground sample distance – GSD – of 30 cm and 10 cm) using a digital photogrammetric workstation. The height of each tree within 183 sample plots (14 subcompartments) were calculated as the difference between the tree top elevations determined with the aerial images and the corresponding tree bottom elevations determined from the digital terrain model. To compare the photogrammetric- and field-estimated mean stand heights, the mean plot heights were calculated for both photogrammetric and field estimates of tree heights. Repeated measurements using ANOVA testing did not reveal a statistically significant difference (p > 0.05) between the field-estimated and photogrammetric-estimated mean stand heights using the 30 cm and 10 cm GSD digital aerial images. Deviations of the mean stand heights estimated using the images of both spatial resolutions were similar to the field-estimated heights. Using the 30 cm images the deviations of the photogrammetrically estimated mean stand height amounted to 0.35 m (1.59%) on average, whereas using the 10 cm images the deviations amounted to 0.31 m (1.41%) compared to the field estimation. Therefore, it can be concluded that the 30 cm GSD aerial images allow for the photogrammetric measurement of mean stand heights with accuracy similar to 10 cm GSD aerial images. In addition, 30 cm GSD aerial images are more favourable financially since the same area of interest could be covered with a considerably smaller number of images than of the 10 cm GSD aerial images.

Izvorni jezik
Engleski

Znanstvena područja
Šumarstvo



POVEZANOST RADA


Projekt / tema
024-0242049-2106 - Rast i razvoj šuma u različitim ekološkim i gospodarskim uvjetima (Miroslav Benko, )
068-0681966-2786 - Praćenje zdravstvenog stanja šuma metodama daljinskih istraživanja (Renata Pernar, )
HRZZ-UIP-2013-11-2492 - Procjena i predviđanje produktivnosti šumskog ekosustava objedinjavanjem terenskih izmjera, daljinskih istraživanja i modeliranja (Hrvoje Marjanović, )

Ustanove
Hrvatski šumarski institut, Jastrebarsko,
Šumarski fakultet, Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • CAB Abstracts


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