Paper Title:
Forest Biomass Estimation Based on Remote Sensing Method for North Daxingan Mountains
  Abstract

Using the Landsat 5 TM images in 2002 as source data,the paper constructed individual tree biomass models of seven principal species based on the data from field surveying and fixed Plots in Tahe and Amur forest Region in Daxiangan Mountains. The remote sensing biomass model between TM images and data from forest fixed Plots was developed by the methods of multiple linear regression and BP neutral net. The result showed that R in multiple linear regression model was 0.764 and the model passed the F test, D-W test and multi-collinearity test. In the independent sample estimation,The neutral net model with the precision of 91.25% was significantly higher than multiple linear regression model with the precision of 81.02%. Although the“black-box”neutral net model could not give the concrete analytical equation, this kind of model with high precision might be applied to estimate the forest biomass in large level forest biomass.

  Info
Periodical
Chapter
Chapter 5: Monitoring and Control of the Manufacturing Process
Edited by
Zhijiu Ai, Xiaodong Zhang, Yun-Hae Kim and Prasad Yarlagadda
Pages
336-341
DOI
10.4028/www.scientific.net/AMR.339.336
Citation
Y. Y. Zhang, F. R. Li, F. X. Liu, "Forest Biomass Estimation Based on Remote Sensing Method for North Daxingan Mountains", Advanced Materials Research, Vol. 339, pp. 336-341, 2011
Online since
September 2011
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Price
$32.00
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