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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Total article views: 5,609 (including HTML, PDF, and XML)
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4,219
1,281
109
5,609
294
121
161
HTML: 4,219
PDF: 1,281
XML: 109
Total: 5,609
Supplement: 294
BibTeX: 121
EndNote: 161
Views and downloads (calculated since 27 Oct 2021)
Cumulative views and downloads
(calculated since 27 Oct 2021)
Total article views: 4,667 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,630
945
92
4,667
158
113
147
HTML: 3,630
PDF: 945
XML: 92
Total: 4,667
Supplement: 158
BibTeX: 113
EndNote: 147
Views and downloads (calculated since 09 Feb 2022)
Cumulative views and downloads
(calculated since 09 Feb 2022)
Total article views: 942 (including HTML, PDF, and XML)
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Total
Supplement
BibTeX
EndNote
589
336
17
942
136
8
14
HTML: 589
PDF: 336
XML: 17
Total: 942
Supplement: 136
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: 5,609 (including HTML, PDF, and XML)
Thereof 5,528 with geography defined
and 81 with unknown origin.
Total article views: 4,667 (including HTML, PDF, and XML)
Thereof 4,619 with geography defined
and 48 with unknown origin.
Total article views: 942 (including HTML, PDF, and XML)
Thereof 909 with geography defined
and 33 with unknown origin.
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...
