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Selection and evaluation of pseudo-invariant calibration sites in the Badain Jaran and Tengger Desert of China based on Sentinel satellite data

  • role： First author第一作者
  • Affiliation：

    College of Aviation Meteorology, Civil Aviation Flight University of China, Guanghan 618307, China

  • Email：wangwei9969@163.com
  • Introduction：王玮，研究方向为卫星遥感定标理论与技术方法。E-mail： wangwei9969@163.com
WANG Wei1,  
  • Affiliation：

    Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China

WANG Lijuan2,  
  • Affiliation：

    Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China

GUO Ni2,  
  • Affiliation：

    National Stellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

HU Xiuqing3,  
  • Affiliation：

    National Stellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

WANG Ling3

résumé

The selection of ground sites conforming to the radiometric calibration of long time series remote sensing data is greatly important to establish a unified radiometric calibration reference standard, improve the accuracy of satellite radiometric calibration, and promote the application of quantified products. In this study, Sentinel-2 A/B MSI remote sensing data covering the entire study from November 2018 to October 2021 were used to combine the coefficient of variation (CV) index and the Getis-Ord Gi* spatial clustering method to comprehensively evaluate the study area in terms of spatial and temporal stability and spatial consistency and to select sites that could be used for radiometric calibration in the visible and short-wave infrared bands of long time series meteorological satellite data. Results showed that: (1) the PICS with spatial and temporal stability and spatial uniformity in the study area are mainly located in the western and northern parts of the Badain Jaran Desert and Tengger Desert, as well as the connection zone between the southern edge of the desert and the Zhongwei and Hexi Corridor of China. (2) This study reduces the uncertainty of site evaluation results by improving the site selection method. The average spatio-temporal coefficient of variation for the 16 sites selected was only 1.59%. (3) The CVSR_b1-12_avg of TNGR_1 and TNGR_3 sites in the study area is ≤1.19%, which is better than the evaluation results of similar international sites. These sites have an average number of cloud-free days close to 300 d throughout the year, with the attributes of large spatial area, good spatial and temporal stability, homogeneous surface, dry and clean atmosphere, and few cloudy and rainy days. Therefore, these sites provide relatively rich brightness quasi-invariant calibration sites for conducting historical meteorological satellite data recalibration studies.

mots-clés

desert;calibration field;Sentinel-2;spatial clustering;coefficient of variation

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