ZHANG De Hai ZHANG Jun Rong\ ZHANG Sheng Wei ZHAO Kai. The Development of a Double Mode Microwave Sensor. [J]. Journal of Remote Sensing (2).(1999) DOI: 10.11834/jrs.19990205.
Microwave remote sensing information includes active and passive microwave remot e sensing information. Under some conditions
they usually show different chara cteristics of the same object. So acquiring active and passive microwave remote sensing information simultaneously is very important to interpretation
decision and inversion of microwave remote sensing. Scatterometer and radiometer are important sensors for microwave remote sensin g information acquisition. A scattero radiometer composed of a scatterometer an d a radiometer can measure backscattering coefficient and brightness temperature of the same object simultaneously and it is superior in size
weight and operati on. In the paper
the design idea of a scattero radiometer is put forward. In the i dea
a public antenna and a public high frequency channel are used to receive sc attering and radiation signals at the same time. Then
the signals are separate d by filters in intermediate frequency and processed respectively. An X band sca ttero radiometer is developed according to the idea. A simple continuous wave s catterometer and a digital gain compensation microwave radiometer are adopted i n the scattering and radiation mode respectively. The fundamental diagram and th e timing program of the scattero radiometer are introduced. The performance of the receiver has been tested and the results are given. Scattering and radiati on characteristics of soil versus water content have been measured with the sca ttero radiometer. The results have been compared with the analogous results ac hieved aboard and the trends are the same. It shows that each mode of the scatte ro radiometer can work in sequence and they don’t disturb each other. It prove s that it is feasible to develop a scattero radiometer according to the idea.
College of Information Science and Engineering, Shandong Agricultural University
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University
National Space Science Center, Chinese Academy of Sciences