Skip to main content
padlock icon - secure page this page is secure

A method to estimate forest biomass and its application to monitor Mongolian Taiga using JERS-1 SAR data

Buy Article:

$63.00 + tax (Refund Policy)

This study presents a technique and potential utilization of JERS-1 Synthetic Aperture Radar (SAR) data for the estimation of Taiga species biomass in the Huvsgul Lake basin, Mongolia. In order to develop algorithms for estimating total stand biomass, shapes of the tree trunks were considered. A least-squares method was used to define tree trunk shape coefficients, which were then used to estimate total stand biomass using ground data. L-band data confirmed the backscattering coefficient to be dependent upon not only the quantity of biomass, but also tree parameters. The relationship between backscattering coefficient and forest stand biomass in slope areas of the study area was obtained.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: November 21, 2002

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more