测绘通报 ›› 2018, Vol. 0 ›› Issue (1): 129-132,137.doi: 10.13474/j.cnki.11-2246.2018.0025

• 行业观察 • 上一篇    下一篇

利用GPS-R遥感技术反演植被生物量

周晓敏1, 郑南山1,2, 祁云1, 陈顺1   

  1. 1. 中国矿业大学环境与测绘学院, 江苏 徐州 221000;
    2. 江苏省资源环境信息工程重点实验室, 江苏 徐州 221000
  • 收稿日期:2017-04-17 出版日期:2018-01-25 发布日期:2018-02-05
  • 作者简介:周晓敏(1994-),女,硕士生,研究方向为GNSS及其信号反演。E-mail:2420485011@qq.com
  • 基金资助:

    国家自然科学基金(51174206)

Inversing of Vegetation Biomass Based on GPS-R

ZHOU Xiaomin1, ZHENG Nanshan1,2, QI Yun1, CHEN Shun1   

  1. 1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221000, China;
    2. Key Laboratory for Resource Environment Information Engineering, China University of Mining and Technology, Xuzhou 221000, China
  • Received:2017-04-17 Online:2018-01-25 Published:2018-02-05

摘要:

为了验证利用GPS-R遥感技术反演植被生物量的可行性,分析了GPS反射信号反演植被生物量的原理与方法,通过试验利用干涉复合场数据(ICF)计算出信号反射率,利用已有文献拟合出的信号反射率与植被生物量之间的关系求出生物量,并与遥感技术结果进行了对比。试验结果表明:利用GPS-R遥感技术反演植被生物量是可行的,但是精度还需依靠时间反演模型;GNSS-R反演植被生物量对分析调查区域植被生长和碳排放情况具有重要意义。

关键词: GPS-R, 植被生物量, 反射信号, 反射率, ICF

Abstract:

To verify the feasibility of using GPS-R technology to inverse vegetation biomass,the principle and method inversing vegetation biomass using GPS reflected signal were introduced.The paper performed an experiment to calculate the signal reflectivity using ICF. Using the relationship between the reflectance signal and vegetation biomass,the vegetation biomass was figured out and compared with the result of NDVI remote sensing.The results indicate that it is feasible to retrieve vegetation biomass using GPS-R remote sensing,which has great significance in vegetation plant and carbon emission investigation.

Key words: GPS-R, vegetation biomass, reflected signal, reflectivity, ICF

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