文献类型：期刊文献

英文题名：Monitoring Near Real-Time Heat Damage to Tea Plants Based on Remotely Sensed Land Surface Temperature Products Over Mainland China

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

第一作者：Wang, Peijuan

机构：[1] State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; [2] Collaborative Innovation Center of Meteorological Disaster Forecast, Early-Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing, 210044, China; [3] Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China

年份：2023

外文期刊名：SSRN

收录：EI(收录号：20230345406)

语种：英文

外文关键词：Crops - Geographical regions - Land surface temperature - Losses - Remote sensing - Surface measurement - Surface properties

摘要：Tea plants (Camellia sinensis (L.) Kuntze) are a cash crop that thrives under warm and moist conditions. However, tea plants are 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 near real-time has become a significant and urgent task for scientists and tea producers in China. The objectives of this study were to dynamically monitor critical land surface temperature (LST) threshold-based HD evolution and to track the LST-weighted geographical centroids for HD to tea plants during summer growing seasons over the major tea planting regions of mainland China in a near real-time manner. 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 from two typical HD years (2013 and 2022). Results showed that, when comparing the three summer months, August had the greatest HD extent followed by July and then June. The tea regions with the greatest HD extent were concentrated south of the Yangtze River (SYR), then north of the Yangtze River (NYR) and southwest China (SWC). The regions with the least HD extent were in south China (SC). The near real-time 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 near real-time HD monitoring of tea plants over a large spatial extent based on reconstructed remotely sensed LST values was an effective method because MODIS LST products are easy to obtain for public use via the Earth Observing System Data and Information System. Moreover, this method can identify and track the spatial distribution characteristics of HD to tea plants in a timely manner, and will therefore be helpful for taking effective preventative measures to mitigate economic losses resulting from heat damage. ? 2023, The Authors. All rights reserved.