地球科学进展

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2017 , Vol. 32 >Issue 6: 630 - 642

DOI: https://doi.org/10.11867/j.issn.1001-8166.2017.06.0630

陆地定量遥感产品的真实性检验关键技术与试验验证

  • 晋锐 ,
  • 李新 ,
  • 马明国 ,
  • 葛咏 ,
  • 刘绍民 ,
  • 肖青 ,
  • 闻建光 ,
  • 赵凯 ,
  • 辛晓平 ,
  • 冉有华 ,
  • 柳钦火 ,
  • 张仁华
展开
  • 1.中国科学院西北生态资源环境研究院 甘肃省遥感重点实验室 中科院黑河遥感试验研究站,甘肃 兰州 730000
    2.中国科学院青藏高原地球科学卓越创新中心,北京 100101
    3.西南大学,重庆 400715
    4.中国科学院地理科学与资源研究所,北京 100101
    5.北京师范大学地理科学学部,北京 100875
    6.中国科学院遥感与数字地球研究所,北京 100094
    7.中国科学院东北地理与农业生态研究所,吉林 长春 130102
    8.中国农业科学院呼伦贝尔草原生态系统野外科学观测研究站,北京 100081

作者简介:晋锐(1979-),女,山西临汾人,副研究员,主要从事冰冻圈遥感、水文遥感、陆面数据同化及真实性检验研究.E-mail:jinrui@lzb.ac.cn

收稿日期: 2017-02-22

  修回日期: 2017-05-09

  网络出版日期: 2017-06-10

基金资助

国家高技术研究发展计划项目“遥感产品真实性检验关键技术及其试验验证”(编号:2012AA12A305);国家自然科学基金重点项目“陆表遥感产品真实性检验中的关键理论与方法研究”(编号:41531174)资助

版权

, 2017,
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Key Methods and Experiment Verification for the Validation of Quantitative Remote Sensing Products

  • Rui Jin ,
  • Xin Li ,
  • Mingguo Ma ,
  • Yong Ge ,
  • Shaomin Liu ,
  • Qing Xiao ,
  • Jianguang Wen ,
  • Kai Zhao ,
  • Xiaoping Xin ,
  • Youhua Ran ,
  • Qinhuo Liu ,
  • Renhua Zhang
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  • 1.Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    2.CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
    3.Southwest University, Chongqing 400715, China
    4.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    5.Beijing Normal University, Beijing 100875, China
    6.Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
    7.Northwest Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    8.Hulunbeier State Station of Grassland Ecosystem Field Observation and Scientific Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China

First author:Jin Rui(1979-),female,Linfen City,Shanxi Province,Associate professor. Research areas include hydrological remote sensing, cryosphere remote sensing, land data assimilation, validation.E-mail:jinrui@lzb.ac.cn

Received date: 2017-02-22

  Revised date: 2017-05-09

  Online published: 2017-06-10

Supported by

Project supported by the National High Technology Research and Development Program of China “Key techniques for remote sensing products validation and its experiment verification”(No.2012AA12A305);The National Natural Science Foundation of China “Key theory and methods for validation of land surface remote sensing products”(No.41531174)

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地球科学进展 编辑部, 2017,
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摘要

遥感产品真实性检验是评价遥感产品质量、可靠性和适用性的唯一手段,是提高遥感产品精度、改善遥感产品质量的主要依据,更是推动遥感产品应用范围和应用水平的重要保障。主要介绍国家高技术研究发展计划地球观测与导航技术领域“星机地综合定量遥感系统与应用示范(一期)”项目在“遥感产品真实性检验关键技术及其试验验证”方面取得的主要进展:研制了一系列国家标准,包括陆地定量遥感产品真实性检验通用方法,遥感产品真实性检验地面观测场的选场和布设规范,以及24个遥感产品真实性检验的单项国家标准;研建了遥感产品真实性检验的完整技术流程体系,发展和完善了真实性检验过程中的空间优化采样—尺度上推—检验策略的关键技术方法;通过星机地同步试验获取多尺度配套观测数据集,系统实证了遥感产品真实性检验标准与技术体系;构建了遥感产品真实性检验网,开展核心观测场的多模式联网观测实践,初步形成全国真实性检验网的原型体系和运行机制,为我国遥感产品真实性检验的业务化运行奠定了坚实的基础。

关键词： 定量遥感产品; 真实性检验; 像元尺度真值; 地表异质性; 尺度上推

本文引用格式

晋锐 , 李新 , 马明国 , 葛咏 , 刘绍民 , 肖青 , 闻建光 , 赵凯 , 辛晓平 , 冉有华 , 柳钦火 , 张仁华 . 陆地定量遥感产品的真实性检验关键技术与试验验证[J]. 地球科学进展, 2017 , 32(6) : 630 -642 . DOI: 10.11867/j.issn.1001-8166.2017.06.0630

Abstract

The validation is an important guarantee of quality, reliability and applicability of Remote Sensing Products (RSPs), and is also the foundation to improve the RSPs accuracy, extend the application domain and strength the application ability. This paper introduced the progresses and lessons learned from a project titled by ‘key technology of remote sensing products validation and its experimental evaluation’ supported by Ministry of Science and Technology of China. The progresses included: ①Formulating a series of national standards composed of general methods for the validation of terrestrial quantative RSPs, field-site selection and instrumentation for land surface RSPs, and other 24 individual standards of remote sensing variables; ②Building integral technique process system of RSPs validation; ③Developing some key methods from optimized spatial sampling, upscaling to validation strategy; ④Obtaining the multi-scale satellite-airborne-ground synchronized observation and evaluating systematically the validation standard and techniques; ⑤Setting up national validation network for RSPs, exploring multi-mode allied observation experiment and forming the prototype and operation mechanism for the validation network.

Key words： Quantative remote sensing products; Validation of remote sensing products; Ground truth; Heterogeneous surface; Up-scaling.

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