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Determination of the optimal mounting depth for calculating effective soil temperature at L-band : Maqu case

Authors :
Yijian Zeng
Donghai Zheng
Shaoning Lv
Jun Wen
Zhongbo Su
Department of Water Resources
Faculty of Geo-Information Science and Earth Observation
UT-I-ITC-WCC
Source :
Remote sensing, 8(6):476. MDPI, Remote Sensing, Vol 8, Iss 6, p 476 (2016), Remote Sensing; Volume 8; Issue 6; Pages: 476
Publication Year :
2016

Abstract

Effective soil temperature T e f f is one of the basic parameters in passive microwave remote sensing of soil moisture. At present, dedicated satellite soil moisture monitoring missions use the L-band as the operating frequency. However, T e f f at the L-band is strongly affected by soil moisture and temperature profiles. Recently, a two-layer scheme and a corresponding multilayer form have been developed to accommodate such influences. In this study, the soil moisture/temperature data collected and simulated by the Noah land surface model across the Maqu Network are used to verify the newly developed schemes. There are two key findings. Firstly, the new two-layer scheme is able to assess which site provides relatively higher accuracy when estimating T e f f . It is found that, on average, nearly 20% of the T e f f signal cannot be captured by the Maqu Network, in the currently assumed common installation configuration. This knowledge is important, since the spatial averaged brightness temperature (a function of T e f f ) is used to determine soil moisture. Secondly, the developed method has made it possible to identify that the optimal mounting depths for the observation pair are 5 cm and 20 cm for calculating T e f f at the center station in the Maqu Network. It has been suggested that the newly developed method can provide an objective way to configure an optimal soil moisture/temperature network and improve the representativeness of the existing networks regarding the calculation of T e f f .

Details

Language :
English
ISSN :
20724292
Database :
OpenAIRE
Journal :
Remote sensing, 8(6):476. MDPI, Remote Sensing, Vol 8, Iss 6, p 476 (2016), Remote Sensing; Volume 8; Issue 6; Pages: 476
Accession number :
edsair.doi.dedup.....23d4ecadadf06704344ba9a3c7d773db