期刊信息

  • 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
  • 主办： 河北师范大学
  • ISSN： 1000-5854
  • CN： 13-1061/N
  • 中国科技核心期刊
  • 中国期刊方阵入选期刊
  • 中国高校优秀科技期刊
  • 华北优秀期刊
  • 河北省优秀科技期刊

协同采编系统

友情链接

基于高光谱遥感的植被生物量反演方法研究

  • 1. 首都师范大学 资源环境与旅游学院, 北京 100048;
    2. 三维信息获取与应用教育部重点实验室, 北京 100048;
    3. 资源环境与地理信息系统北京市重点实验室, 北京 100048
  • DOI： 10.13763/j.cnki.jhebnu.nse.2016.03.015

Study on Vegetation Biomass Inversion Method Based on Hyperspectral Remote Sensing

摘要/Abstract

摘要：

高光谱遥感技术能够为反演植被生物量提供快速无损的数据采集与分析处理方法.基于高光谱遥感在植被生物量反演中的研究成果和进展, 对其反演方法进行研究:阐述高光谱遥感反演植被生物量的原理;探讨高光谱遥感反演植被生物量的估算模型;分析比较不同估算模型的特点.结论表明, 利用高光谱遥感分析植被的光谱特性进而估测植被生物量是一种精度较高且应用广泛的方法.

Abstract：

Hyperspectral remote sensing technology can provide a quick nondestructive data acquisition and analysis method for the inversion of vegetation biomass.Based on the research results and advances of hyperspectral remote sensing in vegetation biomass inversion,the inversion methods are studied.The principle of vegetation biomass inversion using hyperspectral remote sensing is described,and the inversion models using hyperspectral remote sensing data are discussed and compared.The results show that using hyperspectral remote sensing technology to analyze the spectral characteristics of vegetation and to estimate vegetation biomass is a widely used inversion method with high accuracy.

关键词

关键词： 高光谱遥感 ; 植被生物量 ; 反演方法
Key words： hyperspectral remote sensing ; vegetation biomass ; inversion method

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