 |
| Titel |
Determination of the Optimal Sampling Depth for Calculating Soil Effective Temperature at L-band: Maqu Case |
| VerfasserIn |
Shaoning Lv, Yijian Zeng, Jun Wen, Zhongbo Su |
| Konferenz |
EGU General Assembly 2015
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250114287
|
| Publikation (Nr.) |
 EGU/EGU2015-14603.pdf |
|
|
|
|
|
| Zusammenfassung |
| Soil effective temperature Teff is one of the basic parameter in passive microwave remote sensing for soil moisture. Meanwhile, the dedicated current and future satellite soil moisture monitoring missions use L-Band as the operating frequency. However, Teff at L-Band is strongly affected by the soil moisture and temperature profiles. A two–layer scheme and its corresponding multilayer form were developed to accommodate such influence. In this study, the soil moisture/temperature data collected at Maqu Network are used to verify the newly developed schemes. The key findings are:1) the new two-layer scheme is able to assess which site is relatively in higher accuracy for estimating Teff. It is found that on average nearly 20% of the signal cannot be captured by Maqu Network, with the currently-assumed common installation configuration. It is important to know this since the spatial averaged value is used to retrieve soil moisture with the brightness temperature sensed by the satellite sensors; 2) With the developed method, it is able to identify that the observation pair at 5cm and 20cm is the optimal sampling depth for calculating Teff for the core-site in Maqu Network. It is suggested that the newly developed method can provide an objective way in configuring an optimal soil moisture/temperature network and improve the representativeness of the existing networks, in terms of calculating Teff, by identifying the optimal sampling depth. |
|
|
|
|
|
|