摘要
本研究旨在实现水稻低温灾害的实时动态监测,改善目前遥感数据在南方地区应用受云雨天气影响受限的现状。利用CLDAS气温数据,结合遥感水稻种植本底信息,参考低温冷害监测指标,选取广西典型早稻低温冷害过程进行监测试验。试验结果表明:利用CLDAS气温分量数据可对区域气温变化状况进行有效的动态监测,结合水稻种植空间分布信息,可实现精细化的水稻受灾面积及等级监测。CLDAS反演的气温精度较高,与气象台站实测气温误差多小于0.5℃。CLDAS和遥感数据结合可为水稻精细化低温冷害监测提供一种新的有效途径。
This study aims to realize real-time dynamic monitoring on rice chilling damage and improve the current situation that the remote sensing data application in southern region was affected with cloud and rain weather. CLDAS temperature data, remote sensing rice planting information and chilling damage monitoring indicators were used in the monitoring experiment with early rice chilling damage process in Guangxi. The results showed that： regional temperature change could be effectively monitored with CLDAS temperature data. Combining with the spatial distribution of rice cultivation, chilling damage be accurately supervised. The precision of CLDAS inverting temperature area and grade of early rice could data was high with error less than 0.5℃ compared with the measured temperature of meteorological station. The bond of CLDAS data and remote sensing data can provide a new and effective way for the precise chilling damage monitoring on early rice.
作者
陈燕丽
何燕
丁美花
罗永明
莫建飞
Chen Yanli;He Yan;Ding Meihua;Luo Yongming;Mo Jianfei(Guangxi Meteorological Disaster Mitigation Institute~Remote Sensing Application and Validation Base of NSMC, Nanning 530022;The Collaborative Innovation Center of the Ecological Environment ＆ Integration Development in the Xijiang River Basin, Nanning 530022)
出处
《中国农学通报》
2018年第11期152-158,共7页
Chinese Agricultural Science Bulletin
基金
国家农业科技成果转化项目"水稻低温冷害监测预警及防控技术中试"(2014GB2E100281)
广西科技重点研发计划项目"基于3S技术的水稻高温热害预测监测和灾害区划技术研究与示范"(桂科AB17195037)
广西农业重点科技计划项目(201305)
关键词
低温冷害
早稻
CLDAS
同化系统
遥感
chilling damage
early rice
CLDAS
assimilation system
remote sensing
