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Critical Threshold-Based Heat Damage Evolution Monitoring to Tea Plants with Remotely Sensed LST over Mainland China  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Critical Threshold-Based Heat Damage Evolution Monitoring to Tea Plants with Remotely Sensed LST over Mainland China

作者:Wang, Peijuan[1] Li, Xin[1] Tang, Junxian[1,2] Wu, Dingrong[1] Pang, Lifeng[3] Zhang, Yuanda[1]

第一作者:Wang, Peijuan

通信作者:Wang, PJ[1]

机构:[1]Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China;[2]Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Meteorol Disaster Forecast, Early Warning & Assessment, Nanjing 210044, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

年份:2024

卷号:16

期号:10

外文期刊名:REMOTE SENSING

收录:;EI(收录号:20242216184993);Scopus(收录号:2-s2.0-85194480236);WOS:【SCI-EXPANDED(收录号:WOS:001231549900001)】;

基金:We would like to thank the two reviewers for their constructive comments and suggestions, which have improved the quality of the article.

语种:英文

外文关键词:heat damage; monitoring; critical threshold; remotely sensed LST; tea plants

摘要:Tea plants (Camellia sinensis (L.) Kuntze) are a cash crop that thrive under warm and moist conditions. However, tea plants are becoming increasingly vulnerable to heat damage (HD) during summer growing seasons due to global climate warming. Because China ranks first in the world in both harvested tea area and total tea production, monitoring and tracking HD to tea plants in a timely manner has become a significant and urgent task for scientists and tea producers in China. In this study, the spatiotemporal characteristics of HD evolution were analyzed, and a tracking method using HD LST-weighted geographical centroids was constructed based on HD pixels identified by the critical LST threshold and daytime MYD11A1 products over the major tea planting regions of mainland China from two typical HD years (2013 and 2022). Results showed that the average number of HD days in 2022 was five more than in 2013. Daily HD extent increased at a rate of 0.66% per day in 2022, which was faster than that in 2013 with a rate of 0.21% per day. In two typical HD years, the tea regions with the greatest HD extent were concentrated south of the Yangtze River (SYR), with average HD pixel ratios of greater than 50%, then north of the Yangtze River (NYR) and southwest China (SWC), with average HD pixel ratios of around 40%. The regions with the least HD extent were in South China (SC), where the HD ratios were less than 40%. The HD LST-weighted geographical centroid trajectories showed that HD to tea plants in 2013 initially moved from southwest to northeast, and then moved west. In 2022, HD moved from northeast to west and south. Daily HD centroids were mainly concentrated at the conjunction of SYR, SWC, and SC in 2013, and in northern SWC in 2022, where they were near to the centroid of the tea planting gardens. The findings in this study confirmed that monitoring HD evolution of tea plants over a large spatial extent based on reconstructed remotely sensed LST values and critical threshold was an effective method benefiting from available MODIS LST products. Moreover, this method can identify and track the spatial distribution characteristics of HD to tea plants in a timely manner, and it will therefore be helpful for taking effective preventative measures to mitigate economic losses resulting from HD.

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