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\begin{document}

\title{Evaluation of optimum season selection for construction RSEI: A case
study of ecological environment quality assess-ment in the
Beijing-Tianjin-Hebei region from 2001 to 2020}



\author[1]{Shaodong Huang}%
\author[1]{Yujie Li}%
\author[1]{Haowen Hu}%
\author[1]{Pengcheng Xue}%
\author[1]{Nina Xiong}%
\author[1]{Jia Wang}%
\affil[1]{Beijing Forestry University College of Forestry}%


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  \date{June 13, 2024}


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\begin{abstract}
Timely and objective assessment of the optimal season for the
construction of remote sensing ecological index (RSEI) is of great
significance for accurate and effective assessment of ecological
environment quality. We manipulated RSEI in different seasons to monitor
and evaluate seasonal ecological environment quality (EEQ) variations in
the Beijing-Tianjin-Hebei (JJJ) region from 2001 to 2020. First, we
evaluated the image quality, and the bad observations were interpolated.
Second, the seasonal RSEI was constructed by MODIS, and we compared the
eigenvalues contribution rate of PC1 in seasons. Third, we assessed the
temporal and spatial variations in EEQ across the same season within
distinct years. Third, Moran's I was employed to evaluate the spatial
autocorrelation of EEQ and the stability of mean and standard deviation
of correlation between RSEI and four indicators of seasons was compared.
The results showed that: 1)the PC1 component concentrates most of the
characteristics of the four indicators, especially in summer (over
71\%); 2) the Moran' I in the summer of 2001, 2006, 2011, 2016, and 2020
are 0.909, 0.898, 0.917, 0.921, and 0.892, respectively, which indicated
that the EEQ has a strong positive spatial correlation. 3) the
correlation between the four indicators and summer RSEI showed high
correlation in different years, and the standard deviation of the
correlation between the four indicators and RSEI fluctuated most
slightly in summer, which the std of NDVI, WET, LST, and, NDBSI were
0.005, 0.052, 0.026, and 0.017, respectively. 4) Only the RSEI in summer
and the VCF show spatial distribution consistency in the long time
series RSEI spatial distribution of four seasons. This study explored
the spatiotemporal variations of EEQ in the JJJ region at a seasonal
scale, which can provide a reference for selecting the optimum season
for the ecological quality monitoring of urban agglomeration in the
future.%
\end{abstract}%



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