Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 412-414 |
| Number of pages | 3 |
| Journal | IAHS-AISH Publication |
| Issue number | 267 |
| State | Published - 2001 |
Keywords
- Brightness temperature
- Microwave radiometry
- Neural network
- Soil moisture
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