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HISISP-QTP (Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau)
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ST_Tibet
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Surface air temperature
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Temperature
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Thermal infrared remote sensing
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Tibet
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machine learning
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Shenyang Aerospace University
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Shenyang University of Technology
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Wang, Dr. Tianyun
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Yang, Prof. Dr. Lu
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Zhang, Dr. Deyuan
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Thermal infrared remote sensing
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Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau
DOI
Experiment
ST_Tibet
Surface air temperature
Temperature
Thermal infrared remote sensing
Tibet
machine learning
Identifier
doi:10.26050/WDCC/QTP
Summary
The Qinghai-Tibet Plateau, known for its high altitude, cold climate, and fragile ecosystem, presents unique challenges and opportunities for the implementation of an intelligent sponge urban system. The
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Project
HISISP-QTP (Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau)
Authors
Wang, Tianyun; Yang, Lu; Zhang, Deyuan
Creation Date
2025-02-03
Temporal Coverage
2019-01 TO 2019-11
Spatial Coverage
Longitude: 73.00, 105.00 Latitude: 25.00, 40.00
Additional Info
QTP_MDinfo
Status
completely archived
[Entry acronym: QTP] [Entry id: 5282084] [ Score: 22.512075]
HISISP-QTP
(Project)
QTP
(Experiment)
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