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基于CBERS的黄河湿地生物量反演研究
引用本文:吴天君,张曦文,赫晓慧. 基于CBERS的黄河湿地生物量反演研究[J]. 东北测绘, 2012, 0(5): 18-19,27
作者姓名:吴天君  张曦文  赫晓慧
作者单位:[1]郑州市房产档案和信息中心,河南郑州450008 [2]信息工程大学测绘学院,河南郑州450052 [3]郑州大学水利与环境学院,河南郑州450001
摘    要:本研究以黄河湿地郑州段为研究区,利用RS与GIS技术,基于2009年5月7日获得的CBERS 2B卫星CCD多光谱遥感影像和地面实测植被生物量信息,采用回归算法构建反演模型,经对比分析得到最优计算模型。结果表明,反演模型计算精度达到86.32%,利用CBERS 2B卫星CCD多光谱遥感影像可满足植被生物量的反演需要。

关 键 词:CBERS  2B  黄河湿地  植被指数  生物量反演  多元线性回归

The Biomass Inversion Study on the Yellow River Wetland Based on CBERS
WU Tian-jun,ZHANG Xi-wen,HE Xiao-hui. The Biomass Inversion Study on the Yellow River Wetland Based on CBERS[J]. Geomatics & Spatial Information Technology, 2012, 0(5): 18-19,27
Authors:WU Tian-jun  ZHANG Xi-wen  HE Xiao-hui
Affiliation:1.Information Center of Zhengzhou Real Estate,Zhengzhou 450052,China; 2.College of Geodesy and Geomatics of the PLA Information Engineering University,Zhengzhou 450052,China; 3.College of Water Conservancy and Environment of Zhengzhou University,Zhengzhou 450001,China)
Abstract:The paper studies the vegetation biomass of the Yellow River wetland in Zhengzhou by using RS and GIS technology based on the CCD spectrum remote sensing image of CBERS 2B satellite acquired on May 7,2009.The field measurement data of the vegetation biomass helps build the inversion model by multi-linear regression method and obtain the optimal calculation model by comparing and analysis.The results show that the inversion model calculation accuracy reaches 86.32%,and it is proved that use of the CCD spectrum remote sensing image of CBERS 2 B satellite can meet the need of the vegetation biomass inversion.
Keywords:CBERS 2B  the Yellow River wetland  vegetation index  biomass inversion  multi-linear regression
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