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用NOAA卫星可见光和红外资料估算甘肃省东部农田区土壤湿度
引用本文:郭铌,雷建勤.用NOAA卫星可见光和红外资料估算甘肃省东部农田区土壤湿度[J].应用气象学报,1997,8(2):212-218.
作者姓名:郭铌  雷建勤
作者单位:1.兰州干旱气象研究所,甘肃省气象局资料室
基金项目:兰州区域气象中心二期工程项目
摘    要:应用NOAA卫星AVHRR通道1、2计算的植被指数和通道4的亮温、农业气象试验站观测的土壤湿度,并结合气象卫星完成的土地覆盖分类等资料,建立了由植被指数和亮温估算甘肃省东部农田区土壤湿度的方程。结果表明,农田土壤湿度与植被指数和亮温间均存在一定相关关系;用植被指数和亮温可以估计土壤湿度情况,并对干旱进行监测。

关 键 词:NOAA卫星    植被指数    亮温    土壤相对湿度    干旱

Estimating Farmland Soil Moisture in Eastern Gansu Province Using NOAA Satellite Data
Guo Ni,Chen Tianyu,Lei Jianqin,Yang Lanfang.Estimating Farmland Soil Moisture in Eastern Gansu Province Using NOAA Satellite Data[J].Quarterly Journal of Applied Meteorology,1997,8(2):212-218.
Authors:Guo Ni  Chen Tianyu  Lei Jianqin  Yang Lanfang
Affiliation:1.1) (Lanzhou Institute of Arid Meteorology, Lanzhou 730020); 2) (Gansu Meteorological Bureau, Lanzhou 730030)
Abstract:Some statistical models are established by using vegetation index data calculated from NOAA satellite visible and infrared data, brightness temperature data from satellite channel No.4 and soil moisture data observed at agricultural meteorological stations in the farmland of the eastern Gansu Province. The results show that vegetation index could reflect a part of moisture information, and there is some relationship between brightness temperature and soil moisture. Therefore, vegetation index and brightness temperature can be used to monitor drought regime.
Keywords:NOAA satellite  Vegetation index  Brightness temperature  Soil relative moisture  Drought
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