Abstract: In order to fully understand the disaster situation of rice high temperature heat damage in the Sichuan basin (SCB) in 2022, this study explores the monitoring and evaluation technology of rice high temperature heat damage suitable for Sichuan by using MODIS data, meteorological data, geographic auxiliary data and agricultural production data. Based on the remote sensing technology, the estimation of daily mean temperature and daily maximum temperature, the extraction of rice area, the identification of rice heading−flowering stage, and the estimation and grade evaluation of high temperature heat damage area during rice heading−flowering stage were studied in the SCB. The evaluation results were verified by high temperature heat damage measured by national meteorological station. The results showed that the mean temperature and maximum temperature can be obtained by merging satellite-retrieved temperature and in-situ observed temperature from dense automatic weather stations with high accuracy. Considering the characteristics of the growth period, the planting area and the key growth period of rice in the SCB could be accurately identified. The high temperature heat damage grade of rice at heading−flowering stage based on satellite-ground fusion data inversion was in good agreement with the measured heat damage grade at the station except for the mountainous region around the basin. The proposed methods can not only rapidly monitor the high temperature heat damage of rice in heading-flowering stage at any time, but also evaluate the distribution of heat damage, frequency distribution and disaster area of rice in heading−flowering stage in the annual study area. It can be applied to operational applications and progressively improved in services.

Key words: MODIS, Rice, Heat damage, Monitor and evaluation