›› 2006, Vol. 8 ›› Issue (4): 122-128.

• ARTICLES • Previous Articles     Next Articles

An Analysis of the Applications of Remote Sensing Method to the Forest Biomass Estimation

XU Xinliang, CAO Mingkui   

  1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2005-12-12 Revised:2006-03-20 Online:2006-12-25 Published:2006-12-25

Abstract: The spectral information of remote sensing images has integrated and realistic characteristics. It has become an important means of using remote sensing information and GIS technology to estimate forest biomass in global change research area. Firstly,the development of using remote sensing information to estimate forest biomass was summarized in this paper. Then four methods which included the method based on relationship between remote sensing information and biomass, the method based on fusion remote sensing data and process model, the method based on K-Nearest neighbor and the method based on artificial neural network were discussed. Finally the shortcomings of current research and the emphases of future research were given in this paper.

Key words: forest biomass, remote sensing information, model, KNN, artificial neural network