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• W4386902722 endingPage "18" @default.
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• W4386902722 abstract "The validation of remote sensing land surface temperature (LST) data necessitates a comparison between satellite retrieval outcomes and <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observations. The efficiency of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observations can be ameliorated via analysis and modeling, whereby the heterogeneity of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observations on temporal and spatial scales is central to the analysis. A fresh algorithm has been developed to optimize deployment by relying on the standard deviation of spatial heterogeneity. The validation outcomes indicated that the coefficient of determination (R2) of the five typical surface features at three time points was 0.66, with a root mean square error (RMSE) of 1.99 °C and a mean absolute error (MAE) of 1.62 °C. Moreover, the spatiotemporal heterogeneity character of typical surface features displayed different features, and the LST variation curves of each typical surface feature displayed a similar pattern under sunny conditions. The application of the Savitzky–Golay filtering method reduced errors by 4% of the total errors caused by random errors in <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observations. With the analysis of the spatiotemporal characteristics of in-situ observation. First, the number of required sites algorithm computed a minimum sampling number of 4. Second, the analysis of the means algorithm computed the 5 optimal points. Additionally, the multipoint <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observations were regularized by standard scores. The optimization of the selected points could be executed to improve the results by eliminating the distance points, which are located further away from the multipoint <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observed LST statistical mean. Our outcomes will deepen the comprehension of the spatiotemporal character of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> observed LST and enhance the efficiency of equipment with equivalent accuracy." @default.
• W4386902722 created "2023-09-21" @default.
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• W4386902722 date "2023-01-01" @default.
• W4386902722 modified "2023-10-15" @default.
• W4386902722 title "Spatiotemporal Heterogeneity of Multiple <i>in situ</i> Observational Sites and its Site Deployment Optimization Strategy" @default.
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