School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Collaborative Innovation Centre on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science & Technology, Nanjing 210044, China
Collaborative Innovation Centre on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science & Technology, Nanjing 210044, China
Fei Deng
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Yanhao Zhang
Collaborative Innovation Centre on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science & Technology, Nanjing 210044, China
Duanyang Liu
Key Laboratory of Transportation Meteorology, China Meteorological
Administration, Nanjing 210008, China
China Meteorological Administration, Nanjing Joint Institute For Atmospheric Sciences, Nanjing 210008, China
Chao Liu
Collaborative Innovation Centre on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science & Technology, Nanjing 210044, China
Zhiqiu Gao
Collaborative Innovation Centre on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science & Technology, Nanjing 210044, China
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4,374
1,323
109
5,806
304
123
167
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PDF: 1,323
XML: 109
Total: 5,806
Supplement: 304
BibTeX: 123
EndNote: 167
Views and downloads (calculated since 27 Oct 2021)
Cumulative views and downloads
(calculated since 27 Oct 2021)
Total article views: 4,853 (including HTML, PDF, and XML)
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Total
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EndNote
3,776
985
92
4,853
164
115
153
HTML: 3,776
PDF: 985
XML: 92
Total: 4,853
Supplement: 164
BibTeX: 115
EndNote: 153
Views and downloads (calculated since 09 Feb 2022)
Cumulative views and downloads
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Total article views: 953 (including HTML, PDF, and XML)
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598
338
17
953
140
8
14
HTML: 598
PDF: 338
XML: 17
Total: 953
Supplement: 140
BibTeX: 8
EndNote: 14
Views and downloads (calculated since 27 Oct 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 5,806 (including HTML, PDF, and XML)
Thereof 5,706 with geography defined
and 100 with unknown origin.
Total article views: 4,853 (including HTML, PDF, and XML)
Thereof 4,786 with geography defined
and 67 with unknown origin.
Total article views: 953 (including HTML, PDF, and XML)
Thereof 920 with geography defined
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This paper proposes a method for evaluating canopy UHI intensity (CUHII) at high resolution by using remote sensing data and machine learning with a random forest (RF) model. The spatial distribution of CUHII was evaluated at 30 m resolution based on the output of the RF model. The present RF model framework for real-time monitoring and assessment of high-resolution CUHII provides scientific support for studying the changes and causes of CUHII.
This paper proposes a method for evaluating canopy UHI intensity (CUHII) at high resolution by...
