Selection and evaluation of pseudo-invariant calibration sites in the arid region of Northwest China based on spatio-temporal variability and spatial clustering

doi:10.13474/j.cnki.11-2246.2026.0812

Abstract

Abstract: [Purposes] This study aims to select and comprehensively evaluate potential pseudo-invariant calibration sites (PICS)in the arid region of Northwest China，addressing the current limitations of PICS studies in China，such as insufficient research coverage，poor regional representativeness，and the lack of a multi-scale evaluation framework. [Methods] Using Landsat 8 data from 2020 to 2024，the arid region of Northwest China was selected as the study area.The coefficient of variation (CV)index and the Getis-Ord G^*_i spatial clustering method were integrated to jointly evaluate the spatiotemporal stability and spatial consistency of surface reflectance for identifying and assessing potential PICS. [Findings] The results show that areas with high spatiotemporal stability and spatial consistency are primarily located in the Tarim Basin，Qaidam Basin，and other typical desert，gobi，and salt-flat regions.Twenty highly consistent candidate sites were identified，and eight optimal sites were selected for detailed analysis of surface reflectance characteristics.These optimal sites exhibited remarkable spectral stability and interannual consistency across multiple temporal scales. [Conclusions] The findings confirm the significant potential and advantages of the arid region of Northwest China as an ideal area for satellite radiometric calibration.

Key words: Landsat 8, coefficient of variation, spatial clustering, radiometric calibration, pseudo-invariant calibration site

CLC Number:

Yuan Ye, Chen Wei, Tang Hongzhao, Zhang Jiali, Zhao Jing. Selection and evaluation of pseudo-invariant calibration sites in the arid region of Northwest China based on spatio-temporal variability and spatial clustering[J]. Bulletin of Surveying and Mapping, 2026, 0(8): 82-88,111.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://tb.chinasmp.com/EN/10.13474/j.cnki.11-2246.2026.0812

http://tb.chinasmp.com/EN/Y2026/V0/I8/82

References

[1] 包诗薇.基于灰阶靶标的改进场地替代定标方法研究[D].合肥：中国科学技术大学，2023．
[2] Khadka N，Teixeira Pinto Cibele，Leigh Larry.Detection of change points in pseudo-invariant calibration sites time series using multi-sensor satellite imagery[J].Remote Sensing，2021，13(11)：2079．
[3] Shrestha M，Hasan M N，Leigh L，et al.Extended pseudo invariant calibration sites (EPICS)for the cross-calibration of optical satellite sensors[J].Remote Sensing，2019，11(14)： 1676.
[4] 顾行发，田国良，余涛，等.航天光学遥感器辐射定标原理与方法[M].北京：科学出版社，2013．
[5] 王玮，王丽娟，郭铌，等.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[J].遥感学报，2023，27(10)： 2350-2362．
[6] Cosnefroy H，Briottet X，Leroy M，et al.In field characterization of Saharan sites reflectances for the calibration of optical satellite sensors[C]//Proceedings of 1994 IEEE International Geoscience and Remote Sensing Symposium.Pasadena：IEEE，2002： 1500-1502.
[7] Cosnefroy H，Leroy M，Briottet X.Selection and characterization of Saharan and Arabian desert sites for the calibration of optical satellite sensors[J].Remote Sensing of Environment，1996，58(1)： 101-114.
[8] Bouvet M.Radiometric comparison of multispectral imagers over a pseudo-invariant calibration site using a reference radiometric model[J].Remote Sensing of Environment，2014，140： 141-154.
[9] Helder D L，Basnet B，Morstad D L.Optimized identification of worldwide radiometric pseudo-invariant calibration sites[J].Canadian Journal of Remote Sensing，2010，36(5)： 527-539.
[10] Bacour C，Briottet X，BréOn F M，et al.Revisiting pseudo invariant calibration sites (PICS)over sand deserts for vicarious calibration of optical imagers at 20 km and 100 km scales[J].Remote Sensing，2019，11(10)： 1166.
[11] Liang S.Introduction[M]//Quantitative Remote Sensing of Land Surfaces.Hoboken,NJ：John Wiley &Sons，Inc，2003：1-24．
[12] 何灵莉.我国西北准不变定标场(PICS)的选取评价和辐射定标应用[D].北京：中国气象科学研究院，2020．
[13] Hu Xiuqing，Wang Ling，Wang Junwei，et al.Preliminary selection and characterization of pseudo-invariant calibration sites in northwest China[J].Remote Sensing，2020，12(16)： 2517.
[14] Wang Ling，Hu Xiuqing，Luo Yupeng，et al.Selection and characterization of glaciers on the Tibetan Plateau as potential pseudoinvariant calibration sites[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，2019，12(2)： 424-436.
[15] 汤连盟，吕伟才，蒲涛，等.西北地区干旱时空动态分布及成因分析[J].遥感信息，2023，38(5)： 66-72．
[16] Odongo V，Hamm N，Milton E.Spatio-temporal assessment of Tuz Gölü，Turkey as a potential radiometric vicarious calibration site[J].Remote Sensing，2014，6(3)： 2494-2513.
[17] Bannari A，Omari K，Teillet P M，et al.Potential of Getis statistics to characterize the radiometric uniformity and stability of test sites used for the calibration of Earth observation sensors[J].IEEE Transactions on Geoscience and Remote Sensing，2005，43(12)： 2918-2926.