Title:

Estimation of forest above-ground biomass rate using airborne LiDAR data

Subtitle:

Problemy Ekologii Krajobrazu = The Problems of Landscape Ecology, t. 38

Creator:

Popov, Mikhail ; Semko, Igor ; Kozak, Ihor

Publisher:

Polska Asocjacja Ekologii Krajobrazu ; Polska Akademia Nauk. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego.

Place of publishing:

Warszawa

Date issued/created:

2014

Description:

Bibliogr. ; Summ. eng. ; 244 p. : il. (color.) ; 24 cm

Type of object:

Book/Chapter

Subject and Keywords:

airborne LiDAR data ; biomass ; DBH ; single tree detection ; FORKOME

Abstract:

The study provides an overview of contemporary approaches to assess forest above-ground biomass. A remote sensing method for assessing biomass using airborne LiDAR (Light Detection And Ranging) data is proposed by authors, since it has a verified technology that can be used to accurately assess above-ground forest biomass. The brief review of methods for detection of single tree using airborne LiDAR data is presented. We proposed and discussed a new tree-based approach for biomass assessment with the use of LiDAR data. Results of morphologic parameters calculations, conducted with the help of some automated methods are described. The results of experimental investigation confirm availability and correctness of the proposed method. The results of biomass calculation in FORKOME are presented. The proposed methodology was tested in forest areas in Poland. Perspectives for further research in order to improve the precision of method are outlined as well.

References:

1. Avery T.E., Burkhart H.E., 1994. Forest measurements, 4th Ed. McGraw-Hill, New York.
2. Hyyppä J., Inkinen M., 1999. Detecting and estimating attributes for single trees using laser scanner. The Photogrammetric Journal of Finland 16 (2), p. 27-42.3. Kozak I., Ferchmin M., Menshutkin V., Potaczała G., Kozak O. et al., 2005. Prognozowanie zmian lasu grądowego w Kampinoskim Parku Narodowym z wykorzystaniem modelu Forkome. Roczniki Akademii Rolniczej w Poznaniu. Leśnictwo 43, p. 35-48.
3. Kozak I., Ferchmin M., Menshutkin V., Potaczała G., Kozak O. et al., 2005. Prognozowanie zmian lasu grądowego w Kampinoskim Parku Narodowym z wykorzystaniem modelu Forkome. Roczniki Akademii Rolniczej w Poznaniu. Leśnictwo 43, p. 35-48.
4. Kozak I., Parpan V., Potaczała G., Kozak H., Zawadzki A., 2007. Natural forest regeneration in spruce monocultures in the Ukrainian Beskids - prognosis by FORKOME model. Journal of Forest Science 53 (4), p. 162-169.
5. Kozak I., Kozak H., 2012. Selective forest cutting using the FORKOME computer model. Ekológia (Bratislava) 31 (2), p. 195-209.
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6. Lyalko V.I., Popov M.O., Kostyuchenko Yu.V., 2006. Multispectral Remote Sensing in Nature Management. Naukova Dumka, Kyiv.
7. Lefsky M.A., Cohen W.B., Harding D.J., Parker G.G., Acker S.A. et al., 2002. LiDAR remote sensing of above-ground biomass in three biomes. Global Ecology and Biogeography 11, p. 393-399.
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8. Morsdorf F., Meier E., Allgöwer B., Nüesch D., 2003. Clustering in Airborne Laser Scanning Raw Data for Segmentation of Single Trees. Remote Sensing and Spatial Information Sciences 34, part 3/W13, p. 330-336.
9. Nichol J.E., Sarker M.L.R., 2011. Improved Biomass Estimation Using the Texture Parameters of Two High-Resolution Optical Sensors. IEEE Transactions on Geoscience and Remote Sensing 49 (3), p. 930-948.
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10. Popov M., Semko I., 2013. Evaluation of the characteristics of vegetation using remote sensing technology (in Ukrainian). Ekolohichna Bezpeka ta Pryrodokorystuvannia 12, p. 51-62.
11. Semko I., 2014. Comparative analysis of single tree detection methods using airborne LiDAR data (in Ukrainian). Visnyk heodezii ta kartohrafii 4, p. 31-37.
12. Zhou X., Hemstrom M., 2009. Estimating aboveground tree biomass on forest land in the Pacific Northwest. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station.

Relation:

Problemy Ekologii Krajobrazu

Volume:

38

Start page:

33

End page:

40

Resource type:

Text

Detailed Resource Type:

Article

Format:

File size 1,7 MB ; application/pdf

Resource Identifier:

9788361590552

Source:

CBGiOŚ. IGiPZ PAN, call no. 151.035 ; click here to follow the link

Language:

pol

Language of abstract:

eng

Rights:

Rights Reserved - Free Access

Terms of use:

Copyright-protected material. May be used within the limits of statutory user freedoms

Digitizing institution:

Institute of Geography and Spatial Organization of the Polish Academy of Sciences

Access:

Open