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FOREST RESOURCES WANAGEMENT ›› 2015, Vol. 0 ›› Issue (4): 45-51.doi: 10.13466/j.cnki.lyzygl.2015.04.009

• Scientific Research • Previous Articles     Next Articles

Satellite Remote Sensing Estimation of Biomass in Ruoergai Alpine Marshes

MA Qiongfang1, 2, CUI Lijuan1, HAO Yunqing3, GAO Changjun1, WANG Yifei1, LI Wei1   

  1. 1.Institute of Wetlands,Chinese Academy of Forestry,Beijing 100091,China;
    2.Academy of Forestry of Jilin Province,Changchun 130033,China;
    3.Academy of Forestry of Sichuan Province,Chengdu 610081,China
  • Online:2015-08-28 Published:2020-12-01

Abstract: In this paper,the TM5 image of July and August 2011—2012 and 32 sites of aboveground biomass(AGB)and underground biomass(BGB)data of the Rouergai marshes in the same period were used as the data source to establish the estimation models.We examined the relationship between AGB,BGB,total biomass(TB)and spectral information from remote sensing images,topographic factors and texture features.The best estimation models were established.The main results are as followsBoth topographic factors and texture features has no correlation to the herbaceous biomass.There were allometric relationship(p<0.05)between biomass and remote sensing image,vegetation index.The average aboveground biomass(AGB),underguound biomass(BGB)and total biomass(TB)for the Rouergai alpine marshes were 367.05,3680.36 and 4048.01/gm2,respectively.With the reduction of surface water,the biomass increased first and then decreased.

Key words: remote sensing, biomass, Rouergai

CLC Number: