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A para metric model to estimate photosynthetically active radiation products from synergized GF-1， FY-4 and Himawari-8 data

  • role： First author第一作者
  • Affiliation：

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

  • Email：zhanghl@aircas.ac.cn
  • Introduction：张海龙，研究方向为光合有效辐射、短波辐射等定量遥感参数反演。E-mail： zhanghl@aircas.ac.cn
ZHANG Hailong1,  
  • Affiliation：

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

LI Li1,  
  • Affiliation：

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

XIN Xiaozhou1,  
  • Affiliation：

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

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

WEN Jianguang12,  
  • Affiliation：

    School of Software Engineering, University of Science and Technology of China, Hefei 230051, China

WANG Baoqing3,  
  • Affiliation：

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

TANG Yong1,  
  • Affiliation：

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

ZHONG Bo1,  
  • Affiliation：

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

WU Shanlong1,  
  • Affiliation：

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

YU Shanshan1,  
  • Affiliation：

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

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

LIU Qinhuo12

Resümee

Photosynthetically Active Radiation (PAR) is an important input of vegetation productivity models, and also a key parameter of terrestrial ecosystem models and biogeochemical models. The accuracy and availability of current global or regional products are still insufficient to better understanding Earth system. China has launched series of Gaofen (GF) Earth observation satellites and provide the possibility of high spatial resolution PAR products retrieval. In this paper, a new method based on a parametric model for remote sensing inversion of PAR was proposed. The surface albedo products and the aerosol optical depth products were retrieved from GF-1 satellites, the cloud optical thickness products were retrieved from Himawari-8 and FY-4 satellites. Under clear sky conditions, the attenuation of PAR by aerosol and Rayleigh scattering is mainly considered. The influence of cloud on incident radiation is mainly considered for cloudy skies, and the calculation is based on the Mie scattering theory of spherical particles. Surface received direct PAR for rugged surfaces were calculated with the input of incident angle, the slope and the aspect. The enhancement or attenuation effect of the scattered radiation were retrieved using the sky view factor the horizontal surface received diffuse radiation. The PAR products were compared and verified using the continuous observation data of the ground stations collected from the Hebei Huailai, the Heihe River Basin Surface Process Comprehensive Observation Network and Ganyansuo in Chengdu. The correlation coefficient, mean bias error and the root mean square error between the two datasets were 0.87, 1.56 W/m2 and 16.14 W/m2, respectively. The spatial resolution of the input atmospheric parameters (sub-satellite point 1 km) and the surface parameter resolution (16 m) of the PAR products have a large spatial scale difference. The atmospheric parameters with the resolution of 50 m provided by the GF-4 satellite will be used to further improve the spatiotemporal accuracy of GF PAR products, and more extensive and in-depth verification analysis will be carried out in our future study.

Schlüsselwort

GF-1 satellite;FY-4;Himawari-8;PAR;parameterized model;quantitative remote sensing products

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