Research on the method for retrieving soil moisture using thermal inertia model

Science in China, Series D: Earth Sciences

Volumn 49, Issue 5, 2006, Pages 539-545

  Liu, Zhenhua ^a   Zhao, Yingshi ^b  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Latent flux; Sensible flux; Soil initial; Thermal conductivity equation; Thermal model; Two layer model

Indexed keywords

BOUNDARY CONDITIONS; HEAT FLUX; HEAT TRANSFER; MATHEMATICAL MODELS; MOISTURE; REMOTE SENSING; TEMPERATURE; THERMAL CONDUCTIVITY; VEGETATION;

SURFACE TEMPERATURE DIFFERENCE; THERMAL INERTIA MODEL;

SOIL MECHANICS;

LATENT HEAT FLUX; NUMERICAL MODEL; REMOTE SENSING; SENSIBLE HEAT FLUX; SOIL MOISTURE; THERMAL CONDUCTIVITY;

EID: 33750593807     PISSN: 10069313     EISSN: 18622801     Source Type: Journal    
DOI: 10.1007/s11430-006-0539-6     Document Type: Article

References (17)

1. Watson, K., Rowen, L.C., Offield, T.W., Application of thermal modeling in the geologic interpretation of IR images, Remote Sens Environ, 1971, 3: 2017-2041.
2. Watson, K., Pohn, H. A., Thermal inertia mapping from satellites discrimination of geologic Unitsin Oman, JResGeol. Suvr., 1974, 2(2): 147-158.
3. Price, J. C., Thermal inertia mapping: A new view of the earth, Journal of Geophysical Research, 1982, 87: 2582-2590.
4. Pratt, A., Ellyett, C. D., The thermal inertia approach to mapping of soil moisture and geology, Remote Sens Environ., 1979, 8: 151-168.
5. Price, J. C., On the analysis of thermal infrared imagery: The limited utility of apparent thermal inertia, Remote Sensing of Environment, 1985, 18: 59-73.
6. Yu, T., Tian, G. L., The application of thermal inertia method the monitoring of soil moisture of north china plain based on NOAA-AVHRR data, Journal of Remote Sensing, 1997, 1(1): 24-31.
7. Sun, X. M., Zhu, Z. L. et al., A new method to measure soil thermal inertia, Science in China, E, 2000, 30(suppl.): 71-76.
8. Zhang, R. H., Thermal inertia model of soil moisture and its application, Chinese Science Bulletin, 1991, 36(12): 924-927.
9. Xue, Y., Cracknell, A. P., Advanced thermal inertia modeling, INT. J., Remote Sensing, 1995, 16: 341-446.
10. Ma, A. N. et al., Remote Sensing Information Model (in Chinese), Beijing: Peking University Press, 1997, 44-45.
11. Carlaw, H. S. et al., Conductions of Heat in Solids, New York: Oxford Univ. Press, 1959, 510.
12. Zhang, R. H., Models in Experimental Remote Sensing and Ground base (in Chinese), Beijing: Science Press, 1996, 164-223.
13. Shuttleworth, W. J., Wallace, J. S., Evaporation from sparse crops - an energy combination theory, Q. J. R. Meteorol. Soc., 1990, 111: 839-855.
14. Choudhury, B. J., Estimating evporation and carbon assimilation using infrared temperature data, In: Vistas in modeling, in Theory and Applications of Optical Remote Sensing (ed. Asrar, G.), New York: John Wiley, 1989, 628-690.
15. Monteith, J. L., Principles of Environmental Physics, London: Edward Amold (Publishers) Limited, 1973.
16. Liu, Z. H., Zhao, Y. S., Song, X. N., A simplified surface albedo inverse model with MODIS data, Remote Sensing Technology and Application, 2004, 19(6): 508-511.
17. Chen, H. L., Feng, D. Y., Zou, C. H., The study of method on monitoring soil moisture in wheat field by NOAA/AVHRR data, Remote Sensing Technology and Application, 1998, 13(4): 27-35.