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基于ENVISAT ASAR数据的鄱阳湖湿地生物量反演研究

沈国状 廖静娟 郭华东 董磊

高技术通讯2009,Vol.19Issue(6):644-649,6.
高技术通讯2009,Vol.19Issue(6):644-649,6.DOI:10.3772/j.issn.1002-0470.2009.06.016

基于ENVISAT ASAR数据的鄱阳湖湿地生物量反演研究

Retrieval of biomass in Poyang Lake wetland from ENVISAT ASAR data

沈国状 1廖静娟 1郭华东 1董磊2

作者信息

  • 1. 中国科学院对地观测与数字地球科学中心,北京,100190
  • 2. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101
  • 折叠

摘要

Abstract

Wetland vegetation is an important component of the wetland ecosystem. Biomass is one of the key indicators of the wetland ecosystem's primary productivity. The ENVISAT ASAR alternative polarized (HH, VV) data were used to retrieve the biomass of Poyang Lake wetland of China. An artificial neural network (ANN) model, on the basis of the simulation analysis of MIchigan MIcrowave Canopy Scattering (MIMICS) model, was used to retrieve the biomass. The dry total biomass in the Poyang Lake wetland of April, 2007 was around 1.065×109kg. And the biomass distribution map of April, 2007 was given. The inversion result shows that ENVISAT ASAR alternative polarizition data can be used for biomass inversion of wetland vegetation; ANN method can also efficiently express the complex non-linear relationship between the biomass and backscatter coefficient so as to improve the inversion accuracy; the errors mainly come from the filed measurements, image registration, and the inversion process.

关键词

ENVISAT ASAR/鄱阳湖/生物量反演/密歇根微波冠层散射(MIMICS)/人工神经网络(ANN)

Key words

ENVISAT ASAR/Poyang Lake wetland/biomass inversion/MIchigan MIcrowave Canopy Scattering (MIMICS)/artificial neural network (ANN)

分类

天文与地球科学

引用本文复制引用

沈国状,廖静娟,郭华东,董磊..基于ENVISAT ASAR数据的鄱阳湖湿地生物量反演研究[J].高技术通讯,2009,19(6):644-649,6.

基金项目

863计划(2006AA12Z122)和中国科学院知识创新工程重要方向性项目(KZCX2-YW-313)资助. (2006AA12Z122)

高技术通讯

OA北大核心CSCDCSTPCD

1002-0470

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