Soil moisture content retrieval based on apparent thermal inertia for Xinjiang province in China-Reference-Cited by-同舟云学术

Soil moisture content retrieval based on apparent thermal inertia for Xinjiang province in China

Published:2011-12-08 Issue:12 Volume:33 Page:3870-3885
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Veroustraete Frank¹,Li Qin²,Verstraeten Willem W.³⁴,Chen Xi²,Bao Anming²,Dong Qinghan¹,Liu Tieu²⁵,Willems Patrick⁵

Affiliation:

1. Land and Water Modelling Unit (LWM), Flemish Institute for Technological Research (Vito), Centre for Spatial and Environmental Aspects (RMA) , BE-2400 Mol, Belgium

2. Xinjiang Institute of Ecology and Geography (XIEG), Chinese Academy of Sciences (CAS), Urumqi, PR China

3. Department of Applied Physics, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands

4. Department of Climate Observations, Royal Netherlands Meteorological Institute, NL-3730 AE De Bilt, The Netherlands

5. Department of Civil Engineering – Research Unit Hydraulics, K.U. Leuven, BE-3000 Heverlee, Belgium

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2011.636080

Reference22 articles.

1. Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain

2. Temporal persistence and stability of surface soil moisture in a semi-arid watershed

3. Dudal, R. and Eswaran, H., 1988, Chinese Soil Taxonomy, pp. 1–196 (Beijing: Science Press).

4. Li, Q., Veroustraete, F., Chen, X., Verstraeten, W.W., Li, J., Liu, T., Dong, Q.H. and Willems, P., in press, The AMSL LST algorithm validated for the Xinjiang province in China. International Journal of Remote Sensing.

5. Soil moisture estimation in a semiarid watershed using RADARSAT-1 satellite imagery and genetic programming

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