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Cross calibration of GF-4/PMS based on MODIS over Badain Jaran Desert

  • role： First author第一作者
  • Affiliation：

    Aerospace Information Research Institute(AIR) Chinese Academy of Sciences(CAS), Beijing 100094, China

  • Email：zhanghao612@radi.ac.cn
  • Introduction：张浩，研究方向为光学遥感辐射定标及大气校正。E-mail：zhanghao612@radi.ac.cn
ZHANG Hao1,  
  • Affiliation：

    Aerospace Information Research Institute(AIR) Chinese Academy of Sciences(CAS), Beijing 100094, China

    Zhongke Xingtu Space Technology Co., Ltd, Xi'An 710100, China

LIU Tao12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Mineral Resources Research, China Metallurgical Geology Bureau, Beijing 101300, China

  • Email：yandc@radi.ac.cn
  • Introduction：闫东川，研究方向为海量遥感数据智能化处理与分析。E-mail： yandc@radi.ac.cn
YAN Dongchuan3*,  
  • Affiliation：

    China University of mining and technology(Beijing), Beijing 100083, China

YAN Yueguan4,  
  • Affiliation：

    Aerospace Information Research Institute(AIR) Chinese Academy of Sciences(CAS), Beijing 100094, China

    School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China

CUI Zhenzhen15

résumé

GF-4 is the first high-resolution geostationary orbit optical remote sensing satellite in China, and it is equipped with a staring camera that covers the visible-to-mid-infrared spectrum. Providing in-orbit radiometric calibration coefficients frequently is difficult due to the lack of on-board calibration devices. To effectively monitor the radiometric performance of GF-4/PMS and provide a solid basis for quantitative applications, the cross-calibration method was used in this study to derive the calibration coefficients over a selected calibration site located in the north of Badan Jaran Desert. The cross-calibration site was identified by searching the uniform area in a high-resolution image (i.e., Landsat 8 /OLI) to minimize the uniform impact on the cross-calibration results. To reduce the effects of the imaging angles of the sensor and atmospheric changes, the restraint was set to the imaging angle difference between MODIS and GF-4 (less than 20°), the imaging time difference (less than 2 h), the cloud, and image quality. In total, 13 image pairs were available from 2016 to 2018 and were used to calculate the cross-calibration coefficients after compensating for the spectral matching factors, which were simulated by MODTRAN. Results showed that (1) the cross-calibration coefficients calculated under the Lambertian assumption were highly consistent with those calculated under the Ross-Li BRDF assumption. The uncertainty was less than 7.4%, and the relative difference ranged between 0.8% and 4% when BRDF was neglected. (2) The radiometric performance of GF-4/PMS decreased slowly from 2016 to 2018, with 1% decrement per year. Thus, the proposed method can effectively improve the radiometric calibration frequency of GF-4/PMS with an acceptable accuracy and can be used for radiometric performance monitoring over the whole life cycle of the sensor.

mots-clés

remote sensing;cross calibration;GF-4/PMS;MODIS;uncertainty analysis

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