Model-associated forest parameter retrieval using VHF SAR data at the individual tree level

Anatoliy Alekseevich Kononov, Min Ho Ka

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

A simple statistical extension at the individual tree level for an earlier-developed very high frequency forest backscatter model is proposed. This extended model treats trunk volumes as random quantities. A concept of random forest reflection coefficient is also introduced to characterize radar returns from individual trees. Based on the extended model, a set of algorithms for estimating the mean trunk (stem) volume from synthetic aperture radar data at the individual tree level is developed assuming that the areal tree density is known. The algorithms are specified for different scenarios related to a priori information on parameters of statistical distributions for the trunk volume and fluctuations of the forest reflection coefficient. An approximate lower bound on the standard deviation in the unbiased estimation of the mean trunk (stem) volume is proposed. This bound can be readily obtained by means of computer simulation for any specified statistical distribution for the trunk volume and fluctuations of the forest reflection coefficient. Performance analysis for the proposed algorithms is numerically performed by means of Monte Carlo simulation for a variety of scenarios. This analysis has shown that the algorithms provide nearly unbiased and efficient estimates, and the proposed lower bound is a very accurate approximation. The results of the study have demonstrated that the approach and methods developed in this paper suggest promising solutions in accurate forest parameter retrieval.

Original languageEnglish
Pages (from-to)69-84
Number of pages16
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume46
Issue number1
DOIs
Publication statusPublished - 2008 Jan

Bibliographical note

Funding Information:
Manuscript received February 8, 2007; revised July 17, 2007. This work was supported by the Brain Pool Program of the Government of South Korea. A. A. Kononov was with the Odessa National Polytechnic University, Odessa 65044, Ukraine. He is now with the Department of Electronic Engineering, Korea Polytechnic University, Siheung 429-793, Korea (e-mail: akononov@ kpu.ac.kr). M.-H. Ka is with the Department of Electronic Engineering, Korea Polytechnic University, Siheung 429-793, Korea (e-mail: kaminho@kpu.ac.kr). Digital Object Identifier 10.1109/TGRS.2007.907107

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

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