Metadata language
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: Date issued/created: Description:Bibliogr. przy pracach ; 244 s. : il. (w tym kolor.) ; 24 cm ; Streszcz. prac w jęz. ang. ; Wstęp, spis treści i tyt. rozdz. również w jęz. ang.
Type of object: Subject and Keywords:dane z LiDAR-u lotniczego ; biomasa ; pierśnica ; model FORKOME ; wykrywanie pojedynczych drzew
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.
http://dx.doi.org/10.4149/ekol_2012_02_195 -
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.
http://dx.doi.org/10.1046/j.1466-822x.2002.00303.x -
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.
http://dx.doi.org/10.1109/TGRS.2010.2068574 -
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.
Rozmiar pliku 1,7 MB ; application/pdf
Resource Identifier: Source:CBGiOŚ. IGiPZ PAN, sygn. 151.035 ; click here to follow the link
Language: Language of abstract: Rights:Prawa zastrzeżone - dostęp nieograniczony
Terms of use: Digitizing institution:Instytut Geografii i Przestrzennego Zagospodarowania Polskiej Akademii Nauk
Access: