JOURNAL OF NATURAL RESOURCES ›› 2008, Vol. 23 ›› Issue (3): 467-478.doi: 10.11849/zrzyxb.2008.03.013

• Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS • Previous Articles     Next Articles

Study on Biomass of Pinus elliottii Forest in Subtropical China Assisted with Remote Sensing

MA Ze-qing1,2, LIU Qi-jing1, XU Wen-jia1,2, LI Xuan-ran1,2, LIU Ying-chun1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;
    2. Graduate University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2006-11-09 Revised:2007-10-15 Online:2008-05-28 Published:2008-05-28

Abstract: Based on field survey data,TM imagery acquired in 2005 was applied for organ-specific biomass estimation of Pinus elliottii plantation as well as other forest types in Qianyanzhou of Jiangxi Province,China.A total of 28 plots was investigated and the relationship of biomass with vegetation indices was clarified using image analysis including PCA(Principal Component Analysis) and TASSEL(Tasseled cap transformation).A series of regression models comparing biomass and spectra or vegetation index were established.The sequence of correlation coefficients from high to low was foliage biomass>branch biomass>above-ground biomass>stem biomass.The average above-ground biomass of Pinus elliottii forest as estimated with multiple regression analysis was 6628 g·m-2,with leaf biomass of 573 g·m-2,less than the mean result by field survey.Correlation of biomass with a single vegetation index was quite low,indicating that NDVI alone is not sufficient for estimating biomass of densely closed forest.Results of regression analyses were slightly better using PCA and slightly worse with TASSEL.

Key words: remote sensing, vegetation index, forest, biomass, Qianyanzhou

CLC Number: 

  • Q948