摘要
以中分辨率成像光谱仪(MODIS)资料和台站观测气温数据为基础,采用多元回归分析法和多源卫星时间融合-空间化台站气温插补法构建全天候逐日平均气温时间序列数据集,再结合湖北省水稻冷害监测温度指标及遥感提取水稻像元分布,实现对典型冷害年的湖北省早稻"五月寒"、中稻"盛夏低温"和晚稻"寒露风"分布及强度监测。以台站判识冷害发生点对监测结果进行空间及程度验证,结果显示,当发生大范围典型水稻冷害灾情时,不同程度冷害的遥感监测精度较高。
All-weather daily mean air temperature time series were constructed by employing multiple regression models and temporal merging-spatial interpolation algorithm with Terra and Aqua moderate resolution imaging speetroradiometer （MODIS） land surface temperature （LST） and meteorological air temperature data. Meanwhile,rice planting areas identified by MODIS data and indexes of rice chilling damages were combined to realize the monitoring of distribution and intensity of three main kinds of chilling injury ＂May Cold＂ for early flee, ＂Midsummer Low Temperature＂ for middle rice and ＂Cold Dew Wind＂ for late rice in Hubei province. The resuhs from remotely sensed monitoring annually validated by the ones analyzed from meteo- rological stations,revealed the high precision for different degrees of chilling injury when it occurred a large range of disaster.
出处
《湖北农业科学》
2017年第24期4757-4761,4776,共6页
Hubei Agricultural Sciences
基金
湖北省气象局青年基金项目(2014Q02)
