Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (6): 819-832.doi: 10.1007/s11442-018-1507-8

• Research Articles • Previous Articles     Next Articles

Measurement of vegetation parameters and error analysis based on Monte Carlo method

Boyi LIANG1(), Suhong LIU2,*()   

  1. 1. College of Urban and Environment Sciences, Peking University, Beijing 100871, China
    2. Faculty of Geography, Beijing Normal University, Beijing 100875, China
  • Received:2017-06-30 Accepted:2017-12-08 Online:2018-06-20 Published:2018-06-20
  • Contact: Suhong LIU;
  • About author:

    Author: Liang Boyi, E-mail:

  • Supported by:
    National Natural Science Foundation of China, No.41171262


In this paper we bring up a Monte Carlo theory based method to measure the ground vegetation parameters, and make quantitative description of the error. The leaf area index is used as the example in the study. Its mean and variance stability at different scales or in different time is verified using both the computer simulation and the statistics of remotely sensed images. And the error of Monte Carlo sampling method is analyzed based on the normal distribution theory and the central-limit theorem. The results show that the variance of leaf area index in the same area is stable at certain scales or in the same time of different years. The difference between experimental results and theoretical ones is small. The significance of this study is to establish a measurement procedure of ground vegetation parameters with an error control system.

Key words: remote sensing, vegetation parameter, error analysis, GLASS LAI