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

WANG Wei; WANG Lijuan; GUO Ni; HU Xiuqing; WANG Ling

doi:10.11834/jrs.20231867

Common Technology of Historical data Re-Calibration of Domestic Remote Sensing Satellite | Views : 0 下载量: 152 CSCD: 0 更多指标

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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
Vol. 27, Issue 10, Pages: 2350-2362(2023)
Published： 07 October 2023 ，
DOI： 10.11834/jrs.20231867

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王玮，王丽娟，郭铌，胡秀清，王玲.2023.基于哨兵卫星数据的巴丹吉林—腾格里沙漠辐射准不变场选取与评价.遥感学报，27（10）： 2350-2362

Wang W，Wang L J，Guo N，Hu X Q and Wang L. 2023. Selection and evaluation of pseudo-invariant calibration sites in the Badain Jaran and Tengger Desert of China based on Sentinel satellite data. National Remote Sensing Bulletin， 27（10）：2350-2362
王玮，王丽娟，郭铌，胡秀清，王玲.2023.基于哨兵卫星数据的巴丹吉林—腾格里沙漠辐射准不变场选取与评价.遥感学报，27（10）： 2350-2362 DOI： 10.11834/jrs.20231867.

Wang W，Wang L J，Guo N，Hu X Q and Wang L. 2023. Selection and evaluation of pseudo-invariant calibration sites in the Badain Jaran and Tengger Desert of China based on Sentinel satellite data. National Remote Sensing Bulletin， 27（10）：2350-2362 DOI： 10.11834/jrs.20231867.

摘要

选取符合长历时遥感数据辐射定标要求的地面场地，对建立统一的辐射定标参考标准，改进卫星辐射定标精度，推动定量化产品应用都具有十分重要的意义。本研究利用2018年11月—2021年10月覆盖整个研究的Sentinel-2 A/B MSI遥感数据，结合变异系数（CV）指标和

Getis-Ord

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3.21733332

3.47133350

空间聚类方法，从时空稳定性和空间一致性两个方面对研究区进行综合评价，筛选和评价可用于历史气象卫星数据进行可见光—短波红外波段辐射定标的场地，结果表明：（1）研究区具有时空稳定性和空间均匀性的辐射准不变场主要分布在巴丹吉林—腾格里沙漠的西部、北部、以及沙漠南部边缘与中卫、河西走廊之间的连接处；（2）本研究通过改进场地选取方法，降低了场地评价结果的不确定性，所选取16个场地的平均时空变异系数CV

SR_b1-12_avg

仅为1.59%；（3）研究区TNGR_1和TNGR_3场地的CV

SR_b1-12_avg

≤1.19%，优于国际同类场地的评价结果，且这两个场地全年平均无云天数接近300 d，具有空间面积大、时空稳定性好、地表均一、大气干洁，云雨天气少等特点，为开展历史气象卫星数据再定标研究提供了更丰富亮度的准不变定标场地。

Abstract

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

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https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=50864448&type=

3.47133350

3.21733332

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 CV

SR_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.

关键词

沙漠定标场Sentinel-2空间聚类变异系数

Keywords

desertcalibration fieldSentinel-2spatial clusteringcoefficient of variation

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