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Design and realization of ground object background spectral library for surveying and mapping

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：zhongsy@radi.ac.cn
  • Introduction：钟守熠，1995年生, 男, 硕士研究生, 研究方向为定量遥感产品真实性检验。E-mail: zhongsy@radi.ac.cn
ZHONG Shouyi16,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：xiaoqing@radi.an.cn
  • Introduction：肖青，1971年生, 男, 研究员, 研究方向为定量遥感反演机理和模型。E-mail: xiaoqing@radi.an.cn
XIAO Qing16*,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

WEN Jianguang16,  
  • Affiliation：

    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

ZHENG Xingming2,  
  • Affiliation：

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

    School of Geography Sciences, Southwest University, Chongqing 400715, China

MA Mingguo35,  
  • Affiliation：

    School of Geography, Beijing Normal University, Beijing 100875, China

QU Yonghua4,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

ZHENG Ke1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

CHI Tianhe1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

TANG Yong1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

YOU Dongqin1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

HAO Dalei16,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

CHENG Juan16,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

HE Min16,  
  • Affiliation：

    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

JIANG Tao2,  
  • Affiliation：

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

JIN Rui3,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

YAO Xiaojing1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, the Chinese Academy of Sciences, Beijing 100101, China

ZHAO Lijun1

resumen

The spectral characteristics of ground objects are the theoretical basis for target detection and identification using remote sensing. The spectral library plays an important role in improving the level of remote sensing applications. In this study, we established the “Ground Object Background Spectral Library for Surveying and Mapping (GOSPEL)” under the National Science and Technology Foundation Project to standardize and enrich China’s spectral database and promote its application in the fields of surveying and mapping. Notable progress was observed in the construction of the ground feature spectrum library, warehousing, and preliminary exploration of application demonstrations. Moreover, the Ground Spectral Spectrum and Supporting Non-spectral Data Collection and Summary Standards, Spectral and Supporting Non-spectral Parameter Test Technical Specifications, and Feature Classification Code Standards were established on the basis of the existing spectrum acquisition and processing specifications. Since the implementation of the project, more than 14,000 existing spectral data were compiled and stored in accordance with the data norms and standards formulated by the project. In addition, nationwide spectrum collection experiments were organized and implemented involving the major regions in China, which acquired more than 17,000 ground feature spectra. Full-band experiments (visible–near infrared, infrared, and microwave bands) were performed in north and northeast China to obtain full-band data of snow, soil, vegetation canopy, and artificial target. To facilitate the application and sharing of spectral data, a ground feature spectral database (i.e., GOSPEL) and a data sharing platform containing more than 30,000 data were constructed. Twenty-five datasets were formed according to the type of ground feature spectral data and application requirements, including full-band typical feature spectrum dataset, multi-angle spectral reflectance dataset, multiscale typical feature reflectance dataset, and long-term series spectral dataset. We also performed application demonstrations on ground feature classification, remote sensing mechanism simulation, remote sensing quantitative inversion, and remote sensing product validation based on the current ground feature spectrum from GOSPEL.

palabra clave

spectral library;object spectrum;surveying and mapping;remote sensing;system;data sharing

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