Determining the Boundary and Probability of Surface Urban Heat Island Footprint Based on a Logistic Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Source
2.3. Method
3. Results
3.1. Spatiotemporal Variation in the FP
3.1.1. Daytime Spatiotemporal Variation in the FP
3.1.2. Nighttime Spatiotemporal Variation in FPs
3.2. Comparative Analysis of SUHI FPs Obtained by Gaussian Surface Model and Logistic Model
3.3. Temporal Changes in UHII
3.4. Temporal Changes in UHI Capacity
4. Discussion
4.1. Elimination of Artificial Bias in Background Temperatures
4.2. Enhanced Reliability of Remote Sensing Data and Surface Attribute
4.3. Relationship Between SUHI FP and UHII
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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The Probability Levels of SUHI FPs | Gaussian Surface Model | Logistic Model | ||
---|---|---|---|---|
Daytime | Nighttime | Daytime | Nighttime | |
0.0–0.1 | 9823 | 6723 | 8128 | 5180 |
0.1–0.2 | 712 | 1678 | 934 | 2557 |
0.2–0.3 | 567 | 1083 | 672 | 1983 |
0.3–0.4 | 329 | 1014 | 614 | 1237 |
0.4–0.5 | 436 | 683 | 523 | 772 |
0.5–0.6 | 259 | 357 | 525 | 658 |
0.6–0.7 | 202 | 307 | 508 | 529 |
0.7–0.8 | 156 | 172 | 563 | 610 |
0.8–0.9 | 166 | 256 | 612 | 808 |
0.9–1.0 | 2004 | 2381 | 1575 | 320 |
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Qiao, Z.; Wu, C.; Zhao, D.; Xu, X.; Yang, J.; Feng, L.; Sun, Z.; Liu, L. Determining the Boundary and Probability of Surface Urban Heat Island Footprint Based on a Logistic Model. Remote Sens. 2019, 11, 1368. https://doi.org/10.3390/rs11111368
Qiao Z, Wu C, Zhao D, Xu X, Yang J, Feng L, Sun Z, Liu L. Determining the Boundary and Probability of Surface Urban Heat Island Footprint Based on a Logistic Model. Remote Sensing. 2019; 11(11):1368. https://doi.org/10.3390/rs11111368
Chicago/Turabian StyleQiao, Zhi, Chen Wu, Dongqi Zhao, Xinliang Xu, Jilin Yang, Li Feng, Zongyao Sun, and Luo Liu. 2019. "Determining the Boundary and Probability of Surface Urban Heat Island Footprint Based on a Logistic Model" Remote Sensing 11, no. 11: 1368. https://doi.org/10.3390/rs11111368