This paper demonstrates the use of microwave radiometry in sensing soil moisture profiles over a wheat field. Field measurements of brightness temperatures collected by the PORTOS radiometer operating at 1.4, 5.05 and 10.65 GHz, and concurrent measurements of soil moisture profiles to a depth of 10 cm over a wheat field during a 2.5-month complete growing cycle in 1993 (PORTOS-93 experiment), were used. A Dynamic Learning Neural Network (DLNN) was applied to manage nonlinear mapping from brightness temperatures to soil moisture profiles.
|頁（從 - 到）||412-414|
|出版狀態||已出版 - 2000|