Welcome to Chinese Journal of Ecology! Today is Share:

cje ›› 2004, Vol. ›› Issue (4): 109-117.

Previous Articles     Next Articles

Research advances in remote sensing techniques in estimation of vegetation biochemical material contents

DING Shengyan, LI Haomin, QIAN Lexiang   

  1. College of Environment and Planning, Henan University, Kaifeng 475001, China
  • Received:2003-09-20 Revised:2004-01-31 Online:2004-08-10

Abstract: The main biochemicals (such as lignin,protein,cellulouse,sugar,starch,chlorophyll and water) of vegetation are directly or indirectly involved in major ecological processes and function of terrestrial ecosystem (i.e.nutrient cycling processes,primary production,and decomposition).Being able to cover large area several times during the season,remote sensing techniques represented a very convenient way of data acquisition.With these techniques,we could relate remote sensing measurements to the biochemical characteristics of the Earth surfaces in a reliable and operational way.Therefore,it may play an important role in the estimation of the biochemical contents.Since early 1980s,many countries put forward their own airborne or space borne high spectral radiometers.The spectroscopic estimation of vegetation biochemical concentration was welcoming a new dawn with the developments of high spectral remote sensing technologies.Based on the spectral features of the vegetation,the commonly used spectral analysis methods and data management methods (e.g.vegetation indices,derivative spectral,continuum removal,red edge etc.) were summarized in this paper.The applications of multiple linear regression models and illuminate-geometry models in the assessment of vegetation biochemical material content were emphasized.Many radiation transfer models and three dimensional geometry models,such as PROSPECT,SAIL,LIBERTY,DART,IAPI,KUUSK,NADI,LEAFMOD,RSADU and FLIGHT were introduced.By further development,the imaging spectroscopic estimation of vegetation biochemistry concentration over large area may obtain a higher robustness and accuracy for using in global change studies,ecosystem studies,species identification,accurate agriculture,disaster and pollution estimation, and resources investigation,etc.The limitations and further development possibilities of this technology were pointed out at the end of this paper.

Key words: Ecosystem services, Mangcuo Lake drainage basin, Economic value

CLC Number: