Mr. Xiaoji Shen

Mr. Xiaoji Shen

Postgraduate student
Department of Civil Engineering
Room 116, Building 36, Clayton Campus

Xiaoji Shen received the B.S. degree in geography information science and the M.Sc. degree in geography from Hohai University, Nanjing, China, in 2014 and 2017, respectively. He is pursuing the Ph.D. degree in civil engineering since 2018 from Monash University, Melbourne, VIC, Australia, with a thesis on P-band microwave radiometry and soil moisture retrieval. His current research interests include passive microwave radiometry and microwave remote sensing of soil moisture.

Research Interests

Research Projects

Current projects

Soil moisture retrieval from P-band microwave radiometer observations

Soil moisture is an excellent indicator of climate change. Moreover, it controls various processes in the water, energy, and carbon exchanges between the atmosphere and the land surface. However, soil moisture products derived from passive microwave remote sensing are limited to a relatively shallow moisture retrieval depth, which is commonly held to be within the top 5 cm at L-band (~21 cm wavelength / 1.4 GHz). Moreover, the soil moisture retrieval at L-band is also complicated and degraded by the soil surface roughness and vegetation canopy. It has been reported that longer wavelengths are expected to have not only a greater moisture retrieval depth but also reduced impacts of soil surface roughness and vegetation, which has not yet been verified at P-band (~40 cm wavelength / 0.75 GHz). Consequently, this research aims at demonstrating these potential benefits brought from the longer wavelength of P-band. Ultimately, the P-band Microwave Emission of the Biosphere (P-MEB) model will be developed using extensive tower-based data and tested on independent airborne-based data over a range of soil roughness and vegetation conditions. This will ultimately lead to preparedness for the next generation of soil moisture satellite missions. This research is organized around four key questions:
1. Does P-band have a greater moisture retrieval depth than L-band?
2. Is P-band less impacted by soil surface roughness than L-band?
3. Is P-band less impacted by vegetation effects than L-band?
4. Is P-band able to provide more accurate soil moisture maps than L-band?

Vegetation changes in the Three-river headwaters region of the Tibetan Plateau of China

X Shen, R An, L Feng, N Ye, L Zhu, M Li

Ecological Indicators 93, 804-812

2018
Downscaling essential climate variable soil moisture using multisource data from 2003 to 2010 in China

HL Wang, R An, J You, Y Wang, Y Chen, X Shen, W Gao, Y Wang, …

Journal of Applied Remote Sensing 11 (4), 045003

2017
Evaluation of the European Space Agency climate change initiative soil moisture product over China using variance reduction factor

X Shen, R An, JA Quaye‐Ballard, L Zhang, Z Wang

JAWRA Journal of the American Water Resources Association 52 (6), 1524-1535

2016
Validation of the ESA CCI soil moisture product in China

R An, L Zhang, Z Wang, JA Quaye-Ballard, J You, X Shen, W Gao, …

International journal of applied earth observation and geoinformation 48, 28-36

2016
Last modified: 20/07/2020