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Optical polarized effects for high-resolution quantitative remote sensing and new polarization remote sensing fields

  • role： First author第一作者
  • Affiliation：

    Beijing Key Laboratory of Spatial Information Integration and 3S Application, School of Earth and Space Sciences, Peking University, Beijing 100871, China

  • Email：lyan@pku.edu.cn
  • Introduction：晏磊，1956年生，男，教授，研究方向为偏振与无人机仿生遥感、高分辨率成像与遥感定标、仿生导航。E-mail：lyan@pku.edu.cn
Lei YAN1,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Xingfa GU2,  
  • Affiliation：

    Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

Junhao CHU3,  
  • Affiliation：

    Department of Precision Instruments, Tsinghua University, Beijing 100084, China

Zheng YOU4,  
  • Affiliation：

    State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

Shiyuan LIU5,  
  • Affiliation：

    Rutherford Appleton Laboratory Space, Science and Technologies Facilities Council, Harwell Oxford, United Kingdom, OX110QX

Motimor HUGH6,  
  • Affiliation：

    Colorado State University, Fort Collins, Colorado 80523

Chandrasekar V.7

Resümee

The optical multi-scale effect proposed by Academician Li Xiaowen in the last century has become an important cornerstone of quantitative remote sensing. The high-resolution optical polarization effect is gradually highlighted and directly determines or affects the high-resolution observation system, that is, implementation of quantitative remote sensing effect and quality assurance, given the development of the aerospace high-resolution observation in this century, namely, quantitative remote sensing, after effectively solving the optical multi-scale effect. For example, Chinese scholars found that the vegetation canopy has an extremely weak scattering reflection polarization effect when its model error of 136% is not deducted. Atmospheric attenuation is the atmospheric polarization effect and is the largest error source of remote sensing inversion; the error reaches 5%—30%. Polarization means deducting the atmospheric error can reduce the error by more than half. Observation instrument subtracts multiple scattered transmission polarized light, thereby attaining 5 nm resolution and 0.1—0.3 nm hyperspectral scalability, through polarization-enhanced light noise separation of the central wavelength offset and bandwidth degradation of the root causes of error. The system can achieve 10–8 spherical radiance benchmark observation for remote sensing radiance calibration uncertainty from 7% to 1%—2% across the provision of possibility given the polarization of “strong light weakening, weak light enhancement”.

Schlüsselwort

quantitative remote sensing;polarization effect;surface polarization;atmospheric polarization;polarization instrument;new method of polarization observation

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