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Izvorni znanstveni članak
https://doi.org/10.18054/pb.2015.117.4.3452

Quality assessment of high density digital surface model over different land cover classes

Ivan Balenović   ORCID icon orcid.org/0000-0001-7422-753X ; Croatian Forest Research Institute
Hrvoje Marjanović   ORCID icon orcid.org/0000-0001-5701-7581 ; Croatian Forest Research Institute
Dijana Vuletić   ORCID icon orcid.org/0000-0003-4631-7604 ; Croatian Forest Research Institute
Elvis Paladinić   ORCID icon orcid.org/0000-0003-4886-4476 ; Croatian Forest Research Institute
Maša Zorana Ostrogović Sever   ORCID icon orcid.org/0000-0001-9369-0685 ; Croatian Forest Research Institute
Krunoslav Indir   ORCID icon orcid.org/0000-0002-8824-1487 ; Croatian Forest Research Institute

Puni tekst: engleski, pdf (2 MB) str. 459-470 preuzimanja: 578* citiraj
APA 6th Edition
Balenović, I., Marjanović, H., Vuletić, D., Paladinić, E., Ostrogović Sever, M.Z. i Indir, K. (2015). Quality assessment of high density digital surface model over different land cover classes. Periodicum biologorum, 117 (4), 459-470. https://doi.org/10.18054/pb.2015.117.4.3452
MLA 8th Edition
Balenović, Ivan, et al. "Quality assessment of high density digital surface model over different land cover classes." Periodicum biologorum, vol. 117, br. 4, 2015, str. 459-470. https://doi.org/10.18054/pb.2015.117.4.3452. Citirano 18.07.2019.
Chicago 17th Edition
Balenović, Ivan, Hrvoje Marjanović, Dijana Vuletić, Elvis Paladinić, Maša Zorana Ostrogović Sever i Krunoslav Indir. "Quality assessment of high density digital surface model over different land cover classes." Periodicum biologorum 117, br. 4 (2015): 459-470. https://doi.org/10.18054/pb.2015.117.4.3452
Harvard
Balenović, I., et al. (2015). 'Quality assessment of high density digital surface model over different land cover classes', Periodicum biologorum, 117(4), str. 459-470. https://doi.org/10.18054/pb.2015.117.4.3452
Vancouver
Balenović I, Marjanović H, Vuletić D, Paladinić E, Ostrogović Sever MZ, Indir K. Quality assessment of high density digital surface model over different land cover classes. Periodicum biologorum [Internet]. 2015 [pristupljeno 18.07.2019.];117(4):459-470. https://doi.org/10.18054/pb.2015.117.4.3452
IEEE
I. Balenović, H. Marjanović, D. Vuletić, E. Paladinić, M.Z. Ostrogović Sever i K. Indir, "Quality assessment of high density digital surface model over different land cover classes", Periodicum biologorum, vol.117, br. 4, str. 459-470, 2015. [Online]. https://doi.org/10.18054/pb.2015.117.4.3452

Sažetak
Background and Purpose: Recent research on generation of digital surface models (DSMs) using image matching methods revealed a great potential of DSM application in forestry, especially in forest inventory. However, research dealing with DSM generation from digital aerial images are still lacking in Croatia. Therefore, the main objective of this study was to present the workflow for generating high density DSM from colour infrared (CIR) digital stereo aerial images using area-based image matching algorithm.

Materials and Methods: The high density DSM was generated from colour infrared digital aerial stereo images using Dense DTM algorithm of PHOTOMOD software - an area-based image matching algorithm which operates on the principle of cross-correlation approach. To evaluate the quality of the generated DSM, an agreement assessment with manual stereo measurements was conducted over three different land cover classes (forests, shrubs, grasslands) using the same images as for DSM generation.

Results: The good vertical agreement between the generated DSM and stereo measurement was achieved for all three land cover classes present at the research area. The highest vertical agreement was obtained for the grassland land cover class (RMSE=0.36), slightly lower for forest (RMSE=0.62), whereas the lowest vertical agreement was obtained for shrub land cover class (RMSE=0.83).

Conclusions: The results of this research are very promising and suggest that the high density DSM generated from digital aerial stereo images and by using the proposed methodology has the potential to be used in forestry, primarily in forest inventory. Therefore, further research should be focused on generation of CHM by subtracting available DTM from the high density DSM and on the examination of its potential for deriving various forest attributes.

Ključne riječi
digital surface model (DSM); digital stereo aerial images; image matching; vertical agreement assessment; forest inventory; Croatia

Hrčak ID: 153571

URI
https://hrcak.srce.hr/153571

Posjeta: 826 *