基于地面红外检测系统验证的灌区地表温度遥感反演
发布时间：2018-07-29 07:20
【摘要】：利用遥感数据的大尺度特性和地面实时监测数据进行区域灌溉管理,用精准化信息技术支撑农业信息化,是现代农业发展的方向和研究热点。该文根据田间在线实时监测数据和Land Sat8卫星遥感数据反演,探讨遥感反演地表温度与地面实测数据的吻合程度,为大范围、区域性干旱监测和灌溉管理提供技术支撑。结果表明,在下垫面植被均匀、土壤水分空间变异性较小的区域,利用Land Sat8遥感影像反演地表温度,可以很好地与地面作物冠层温度监测结果相吻合;监测点数据可以代表其附近5个像元的情况。利用覃志豪法和简单Sobrino法计算地表比辐射率来遥感反演地表温度,对不同的作物类型有不同的适宜性。2015年9 d遥感反演结果与地面监测数据对比可见,在解放闸灌域沙壕渠试验点的玉米地,简单的Sobrino法结果更好,R~2达到0.76,均方根误差、相对误差和符合度指数分别达到2.32℃、7.8%和0.92。葵花地覃志豪法结果为宜,R~2达到0.85,均方根误差、相对误差和符合度指数分别达到1.97℃、6.5%和0.94。春小麦地宜用Sobrino法。对于北京大兴的冬小麦-夏玉米轮作,这2种方法差别不大。地面监测点布设方案和合理数目、点面数据结合进行区域干旱判断和灌溉管理,以及地面监测系统的优化改进,是进一步研究的重点。
[Abstract]:Using the large-scale characteristics of remote sensing data and ground real-time monitoring data for regional irrigation management and using precision information technology to support agricultural informatization is the direction and research focus of modern agriculture development. Based on the field real-time monitoring data and Land Sat8 satellite remote sensing data inversion, this paper discusses the degree of agreement between the remote sensing inversion surface temperature and the surface measured data, which provides technical support for regional drought monitoring and irrigation management in a wide range. The results showed that in the area with uniform vegetation and low spatial variability of soil moisture, the Land Sat8 remote sensing image could be used to retrieve the surface temperature, which was in good agreement with the monitoring results of surface crop canopy temperature. Monitoring point data can represent the situation of five pixels nearby. Using Qin Zhihao method and simple Sobrino method to calculate the specific emissivity of the ground surface for remote sensing inversion of surface temperature has different suitability for different crop types. In the cornfield of the test site of liberating sluice irrigated sand trench, the result of simple Sobrino method is better than that of RM-2 to 0.76, root-mean-square error, relative error and coincidence index to 2.32 鈩，
本文编号：2151932
[Abstract]:Using the large-scale characteristics of remote sensing data and ground real-time monitoring data for regional irrigation management and using precision information technology to support agricultural informatization is the direction and research focus of modern agriculture development. Based on the field real-time monitoring data and Land Sat8 satellite remote sensing data inversion, this paper discusses the degree of agreement between the remote sensing inversion surface temperature and the surface measured data, which provides technical support for regional drought monitoring and irrigation management in a wide range. The results showed that in the area with uniform vegetation and low spatial variability of soil moisture, the Land Sat8 remote sensing image could be used to retrieve the surface temperature, which was in good agreement with the monitoring results of surface crop canopy temperature. Monitoring point data can represent the situation of five pixels nearby. Using Qin Zhihao method and simple Sobrino method to calculate the specific emissivity of the ground surface for remote sensing inversion of surface temperature has different suitability for different crop types. In the cornfield of the test site of liberating sluice irrigated sand trench, the result of simple Sobrino method is better than that of RM-2 to 0.76, root-mean-square error, relative error and coincidence index to 2.32 鈩，
本文编号：2151932
本文链接：https://www.wllwen.com/kejilunwen/nykj/2151932.html
