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Monitoring and Risk Assessment of High-Temperature Heat Damage for Summer Maize Based on Remote Sensing Data

Authors :
Xin Wang
Jinling Song
Xiao Zhu
Lijuan Han
Lei Yang
Source :
IGARSS
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

In the context of global warming, high-temperature heat damage to summer maize has occurred in recent years, which has seriously affected the country's food security. At present, the research on high-temperature heat damage of summer maize is mainly based on point source data from ground observation stations, which lacks representativeness for large areas. Therefore, the remote sensing data and ground temperature data were combined to establish a high-temperature heat damage assessment model for summer maize production. The accuracy coefficients R2 of the model are all above 0.8, and the root mean square error (RMSE) fluctuates within a small range of 2 ° C. The results showed that the high-temperature heat damage of summer maize production area in North China was relatively obvious in 2017 and 2018. And these damaged area mainly distributed in the southeast of Hebei Province, most of Henan Province and western Shandong Province. And the results are consistent with the actual statistics.

Details

Database :
OpenAIRE
Journal :
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Accession number :
edsair.doi...........31153c83d6de5aaff32d00a10703e4b0
Full Text :
https://doi.org/10.1109/igarss39084.2020.9323336