An algorithm for forest stem volume retrieval under the condition of limited auxiliary information

Anatoliy A. Kononov, Min Ho Ka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an algorithm for retrieving the stem volume of forest stands on relatively flat ground. A forest backscatter model at the individual tree level is used to derive the algorithm. This model treats the trunk volumes as random quantities and employs a concept of random forest reflection coefficient. The algorithm is derived under the assumption that the only information on areal tree density and mean value of the forest reflection coefficient is available. Performance of the algorithm is investigated by means of Monte-Carlo simulation for different scenarios in terms of statistical distributions for the trunk volume and forest reflection coefficient. The results of simulation have shown that the algorithm exhibits robustness to the distributions and provides accurate stem volume estimation over a relatively wide range of the unknown variances of the distributions.

Original languageEnglish
Title of host publication2007 International Conference on Convergence Information Technology, ICCIT 2007
Pages541-548
Number of pages8
DOIs
Publication statusPublished - 2007 Dec 1
Event2nd International Conference on Convergent Information Technology, ICCIT 07 - Gyongju, Korea, Republic of
Duration: 2007 Nov 212007 Nov 23

Other

Other2nd International Conference on Convergent Information Technology, ICCIT 07
CountryKorea, Republic of
CityGyongju
Period07/11/2107/11/23

Fingerprint

simulation
Limited information
scenario
performance
Coefficients
Scenarios
Simulation
Monte Carlo simulation
Robustness

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication
  • Information Systems and Management

Cite this

Kononov, A. A., & Ka, M. H. (2007). An algorithm for forest stem volume retrieval under the condition of limited auxiliary information. In 2007 International Conference on Convergence Information Technology, ICCIT 2007 (pp. 541-548). [4420315] https://doi.org/10.1109/ICCIT.2007.4420315
Kononov, Anatoliy A. ; Ka, Min Ho. / An algorithm for forest stem volume retrieval under the condition of limited auxiliary information. 2007 International Conference on Convergence Information Technology, ICCIT 2007. 2007. pp. 541-548
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Kononov, AA & Ka, MH 2007, An algorithm for forest stem volume retrieval under the condition of limited auxiliary information. in 2007 International Conference on Convergence Information Technology, ICCIT 2007., 4420315, pp. 541-548, 2nd International Conference on Convergent Information Technology, ICCIT 07, Gyongju, Korea, Republic of, 07/11/21. https://doi.org/10.1109/ICCIT.2007.4420315

An algorithm for forest stem volume retrieval under the condition of limited auxiliary information. / Kononov, Anatoliy A.; Ka, Min Ho.

2007 International Conference on Convergence Information Technology, ICCIT 2007. 2007. p. 541-548 4420315.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper presents an algorithm for retrieving the stem volume of forest stands on relatively flat ground. A forest backscatter model at the individual tree level is used to derive the algorithm. This model treats the trunk volumes as random quantities and employs a concept of random forest reflection coefficient. The algorithm is derived under the assumption that the only information on areal tree density and mean value of the forest reflection coefficient is available. Performance of the algorithm is investigated by means of Monte-Carlo simulation for different scenarios in terms of statistical distributions for the trunk volume and forest reflection coefficient. The results of simulation have shown that the algorithm exhibits robustness to the distributions and provides accurate stem volume estimation over a relatively wide range of the unknown variances of the distributions.

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Kononov AA, Ka MH. An algorithm for forest stem volume retrieval under the condition of limited auxiliary information. In 2007 International Conference on Convergence Information Technology, ICCIT 2007. 2007. p. 541-548. 4420315 https://doi.org/10.1109/ICCIT.2007.4420315