Review of China's land surface quantitative remote sensing development in 2019

  • role: First author第一作者
  • Affiliation:

    Department of Geographical Sciences, Univsersity of Maryland, College Park MD 20742, USA

  • Email:sliang@umd.edu
  • Introduction: 1963, , E-mail: sliang@umd.edu
LIANG Shunlin1,  
  • Affiliation:

    School of Environment Science and Spatial Informatics, China University of Mining and Techology, Xuzhou 221116, China

BAI Rui2,  
  • Affiliation:

    State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

CHEN Xiaona3,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

CHENG Jie45,  
  • Affiliation:

    Insitute of RS & GIS, School of Earth and Space Sciences, Peking University, Beijing 100871, China

FAN Wenjie6,  
  • Affiliation:

    School of Remote Sensing and Information Engeering, Wuhan University, Wuhan 430079, China

HE Tao7,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

JIA Kun45,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

JIANG Bo45,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

JIANG Lingmei45,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

JIAO Ziti45,  
  • Affiliation:

    Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

LIU Yuanbo8,  
  • Affiliation:

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

NI Wenjian9,  
  • Affiliation:

    International Institute for Earth System Science, Nanjing University, Nanjing 210023, China

QIU Feng10,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

SONG Liulin45,  
  • Affiliation:

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

SUN Lin11,  
  • Affiliation:

    State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

TANG Bohui3,  
  • Affiliation:

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

WEN Jianguang9,  
  • Affiliation:

    Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

WU Guiping8,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

XIE Donghui45,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

YAO Yunjun45,  
  • Affiliation:

    School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China

YUAN Wenping12,  
  • Affiliation:

    International Institute for Earth System Science, Nanjing University, Nanjing 210023, China

ZHANG Yongguang10,  
  • Affiliation:

    Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

ZHANG Yuzhen13,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

ZHANG Yunteng45,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

ZHANG Xiaotong45,  
  • Affiliation:

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

ZHAO Tianjie9,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China

ZHAO Xiang45

реферат

In order to better understand the development of quantitative remote sensing in China and strengthen the exchange of information among peers, this paper summarizes the core parts of quantitative remote sensing over land surface based on the SCI (Scientific Citation Index) indexed papers and some Chinese papers published by Chinese scholars in 2019, including pre-processing methods (cloud and shadow detection, atmospheric correction and terrain correction, etc.); land surface radiative transfer modeling;inversion methods;tproduct production, evaluation,accuracy validation and applications. Surface products include directional reflectance, downward solar radiation, albedo, surface temperature, long wave radiation, net radiation, fluorescence, remote sensing vegetation biochemical parameters, leaf area index, fraction of the absorbed photosynthetic active radiation, vegetation coverage, forest height, forest biomass, vegetation productivity, soil moisture, snow water equivalent, snow cover, evaporation, surface and underground water, etc. The related research projects, professional symposium and summer training courses are also introduced.

ключеви́че слова́

quantitative remote sensing;land;review;China

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