共 2 条
MONITORING AND RISK ASSESSMENT OF HIGH-TEMPERATURE HEAT DAMAGE FOR SUMMER MAIZE BASED ON REMOTE SENSING DATA
被引:0
作者:
Yang, Lei
[1
,2
]
Song, Jinling
[1
,2
]
Han, Lijuan
[3
]
Zhu, Xiao
[1
,2
]
Wang, Xin
[1
,2
]
机构:
[1] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Jointly Sponsored Beijing Normal Univ & Inst Remo, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Beijing Engn Res Ctr Global Land Remote Sensing P, Inst Remote Sensing Sci & Engn, Beijing 100875, Peoples R China
[3] Natl Meteorol Ctr, Beijing 100081, Peoples R China
来源:
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
|
2020年
基金:
中国国家自然科学基金;
关键词:
Summer Maize;
High Temperature Heat Damage;
Remote Sensing;
Model Establishment;
Monitoring and Evaluation;
D O I:
10.1109/IGARSS39084.2020.9323336
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
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 R-2 of the model are all above 0.8, and the root mean square error (RMSE) fluctuates within a small range of 2 degrees 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.
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页码:2909 / 2912
页数:4
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