title: [The inversion processing of vegetation biomass along Yongding River based on multispectral information].
abstract: Researching on vegetation biomass using the traditional measurement method is time-consuming and hard sledding, and prediction precision of biomass is always not good because of uncertain influencing factors. The present article aims at the current situation of Hebei-Beijing reach along Yongding River, using the Thematic Mapper data in this place on 20th July 2009 as source data, with the 30 meters Digital Elevation Model data in Beijing and other auxiliary information, meanwhile through field observation data, to find out the possible functional relationship along vegetation biomass and remote sensing image factor. The authros sorted out the vegetation biomass and remote sensing image factor on the sample plot, then set up an inverse model through multiple linear regression analysis, and analyzed the precision of inverse model. After calculating the measured value and predicted value, the authors got the global relative error is -0.025%, the average relative error is -0.016%, and the general predictive precision is 84.56%. The establishment of this model is able to investigate eco-environmental factors on large range timely, quickly and accurately, also can provide the experimental base for the eco-environmental survey on river basin, and make the foundation for the problem diagnosis of ecological environment and the research on ecosystem degradation mechanism of Yongding River.
authors: Institute of GIS, RS & GPS, Beijing Forestry University, Beijing 100083, China. hech_eng@163.com
authors: Cheng
authors: C
authors: He
authors: Zhong-Ke
authors: ZK
authors: Feng
authors: Xu
authors: X
authors: Han
authors: Meng-Ying
authors: MY
authors: Sun
authors: Yin-Xi
authors: YX
authors: Gong
authors: Yuan
authors: Y
authors: Gao
authors: Bin
authors: B
authors: Dong
mesh_terms: D018533:Biomass; D002681:China; D017753:Ecosystem; D008962:Models, Theoretical; D063245:Plant Development; D058998:Remote Sensing Technology / Q000379:methods*; D045483:Rivers; D013057:Spectrum Analysis / Q000379:methods*