Sensitivity study of soil moisture on the temporal evolution of surface temperature over bare surfaces

International Journal of Remote Sensing

Volumn 34, Issue 9-10, 2013, Pages 3314-3331

  Zhao, Wei ^a,b,c   Li, Zhao Liang ^a,b  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b CNRS   (France)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; DATA FLOW ANALYSIS; MEAN SQUARE ERROR; SOIL MOISTURE; SURFACE MEASUREMENT; SURFACE PROPERTIES;

ATMOSPHERIC CONDITIONS; ATMOSPHERIC PARAMETERS; ATMOSPHERIC VARIATIONS; ENVIRONMENTAL FACTORS; LAND SURFACE TEMPERATURE; ROOT MEAN SQUARE ERRORS; SURFACE AIR TEMPERATURES; THERMAL INFRARED DATA;

SENSITIVITY ANALYSIS;

DIURNAL VARIATION; HYDROLOGICAL CYCLE; REMOTE SENSING; SENSITIVITY ANALYSIS; SHORTWAVE RADIATION; SOIL MOISTURE; SOIL TYPE; SURFACE TEMPERATURE; TEMPORAL ANALYSIS;

EID: 84873686643     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.716532     Document Type: Article

References (37)

1. Cai, G., Xue, Y., Hu, Y., Wang, Y., Guo, J., Luo, Y., Wu, C., Zhong, S. and Qi, S. 2007. Soil Moisture Retrieval from MODIS Data in Northern China Plain Using Thermal Inertia Model. International Journal of Remote Sensing, 28: 3567-81.
2. Campbell, G. S. 1974. A Simple Method for Determining Unsaturated Conductivity from Moisture Retention Data. Soil Science, 117: 311-14.
3. Carlson, T. N. 2007. Review: An Overview of the 'Triangle Method' for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery. Sensors, 7: 1612-29.
4. Carlson, T. N., Gillies, R. R. and Schmugge, T. J. 1995. An Interpretation of Methodologies for Indirect Measurement of Soil Water Content. Agricultural and Forest Meteorology, 77: 191-205.
5. Chen, F. and Dudhia, J. 2001. Coupling an Advanced Land Surface-Hydrology Model with the Penn State-NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity. Monthly Weather Review, 129: 569-85.
6. Chen, F., Janjic, Z. and Mitchell, K. 1997. Impact of Atmospheric Surface Layer Parameterization in the New Land-Surface Scheme of the NCEP Mesoscale Eta Numerical Model. Boundary-Layer Meteorology, 185: 391-421.
7. Chen, F., Mitchell, K., Schaake, J., Xue, Y., Pan, H., Koren, V., Duan, Y., Ek, M. and Betts, A. 1996. Modeling of Land-Surface Evaporation by Four Schemes and Comparison with FIFE Observations. Journal of Geophysical Research, 101: 7251-68.
8. Claps, P. and Laguardia, G. 2004. "Assessing Spatial Variability of Soil Water Content through Thermal Inertia and NDVI". In Remote Sensing for Agriculture, Ecosystems, and Hydrology V. Proceedings of SPIE, Edited by: Owe, M., 'Urso, G. D, Moreno, J. F. and Calera, A. Vol. 5232, 378-87. Bellingham, WA: SPIE.
9. Dash, P., Göttsche, F.-M. and Olesen, F.-S. 2002. Potential of MSG for Surface Temperature and Emissivity Estimation: Considerations for Real-Time Applications. International Journal of Remote Sensing, 23: 4511-18.
10. Dickinson, R. E., Henderson-Sellers, A. and Kennedy, P. J. 1993. Biosphere-Atmosphere Transfer Scheme (Bats) Version 1e as Coupled to the NCAR Community Climate Model Boulder, CO Technical Note NCAR/TN-378zSTR
11. Ek, M. B., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G. and Tarpley, J. D. 2003. Implementation of Noah Land Surface Model Advances in the National Centers for Environmental Prediction Operational Mesoscale Eta Model. Journal of Geophysical Research, 108(D22): 8851-66.
12. Eltahir, E. A. B. 1998. A Soil Moisture-Rainfall Feedback Mechanism. 1. Theory and Observations. Water Resources Research, 34: 765-76.
13. Goward, S. N., Xue, Y. and Czajkowski, K. P. 2002. Evaluating Land Surface Moisture Conditions from the Remotely Sensed Temperature/Vegetation Index Measurements: An Exploration with the Simplified Simple Biosphere Model. Remote Sensing of Environment, 79: 225-42.
14. Han, Y., Wang, Y. Q. and Zhao, Y. S. 2010. Estimating Soil Moisture Conditions of the Greater Changbai Mountains by Land Surface Temperature and NDVI. IEEE Transactions on Geoscience and Remote Sensing, 48: 2509-15.
15. Higdon, D., Kennedy, M. C., Cavendish, J. C., Cafeo, J. A. and Ryne, R. D. 2004. Combining Field Data and Computer Simulations for Calibration and Prediction. SIAM Journal on Scientific Computing, 26: 448-66.
16. Hogue, T. S., Bastidas, L., Gupta, H., Sorooshian, S., Mitchell, K. and Emmerich, W. 2005. Evaluation and Transferability of the Noah Land Surface Model in Semiarid Environments. Journal of Hydrometeorology, 6: 68-84.
17. Idso, S. B., Jackson, R. D., Reginato, R. J., Kimball, B. A. and Nakayama, F. S. 1975. The Dependence of Bare Soil Albedo on Soil Water Content. Journal of Applied Meteorology, 14: 109-13.
18. Jiang, G.-M., Li, Z.-L. and Nerry, F. 2006. Land Surface Emissivity Retrieval from Combined Mid-Infrared and Thermal Infrared Data of MSG-SEVERI. Remote Sensing of Environment, 105: 326-40.
19. Kennedy, M. C. and O'Hagan, A. 2001. Bayesian Calibration of Computer Models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63: 425-64.
20. Koren, V., Schaake, J., Mitchell, K., Duan, Q.-Y. and Chen, F. 1999. A Parameterization of Snowpack and Frozen Ground Intended for NCEP Weather and Climate Models. Journal Geophysical Research, 104: 19569-85.
21. Luquet, D., Vidal, A., Dauzat, J., Begue, A., Olioso, A. and Clouvel, P. 2004. Using Directional TIR Measurements and 3D Simulations to Assess the Limitations and Opportunities of Water Stress Indices. Remote Sensing of Environment, 90: 53-62.
22. Mahrt, L. and Ek, M. 1984. The Influence of Atmospheric Stability on Potential Evaporation. Journal of Climate and Applied Meteorology, 23: 222-34.
23. Mallick, K., Bhattacharya, B. K. and Patel, N. K. 2009. Estimating Volumetric Surface Moisture Content for Cropped Soils Using a Soil Wetness Index Based on Surface Temperature and NDVI. Agricultural and Forest Meteorology, 149: 1327-42.
24. Moran, M. S., Clarke, T. R., Inoue, Y. and Vidal, A. 1994. Estimating Crop Water Deficit Using the Relation between Surface-Air Temperature and Spectral Vegetation Index. Remote Sensing of Environment, 49: 246-63.
25. O'Hagan, A. 2006. Bayesian Analysis of Computer Code Outputs: A Tutorial. Reliability Engineering & System Safety, 91: 1290-300.
26. Petropoulos, G. T., Wooster, M. J., Carlson, T. N., Kennedy, M. C. and Scholze, M. 2009. A Global Bayesian Sensitivity Analysis of the 1-D SimSPHERE Soil, Vegetation, Atmosphere Transfer (SVAT) Model Using Gaussian Model Emulation. Ecological Modeling, 220: 2427-40.
27. Radell, D. B. and Rowe, C. M. 2008. An Observational Analysis and Evaluation of Land Surface Model Accuracy in the Nebraska Sand Hills. Journal of Hydrometeorology, 9: 601-21.
28. Saha, S. K. 1995. Assessment of Regional Soil Moisture Conditions by Coupling Satellite Sensor Data with a Soil-Plant System Heat and Moisture Balance Model. International Journal of Remote Sensing, 16: 973-80.
29. Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M. and Tarantola, S. 2008. Global Sensitivity Analysis. The Primer, Chichester: John Wiley & Sons.
30. Saltelli, A., Tarantola, S., Campologno, F. and Ratto, M. 2004. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models, 217Chichester: John Wiley & Sons.
31. Sandholt, I., Rasmussen, K. and Andersen, J. 2002. A Simple Interpretation of the Surface Temperature/Vegetation Index Space for Assessment of Surface Moisture Status. Remote Sensing of Environment, 79: 213-24.
32. Schmugge, T. J., Blanchard, B., Anderson, A. and Wang, J. 1978. Soil Moisture Sensing with Aircraft Observations of the Diurnal Range of Surface Temperature. Journal of the American Water Resources Association, 14: 169-78.
33. Schwieger, V. 2004. "Variance-Based Sensitivity Analysis for Model Evaluation in Engineering Surveys." Paper presented at INGEO 2004 and FIG Regional Central and Eastern European Conference on Engineering Surveying, Bratislava, Slovakia, November 11-13. http://www.fig.net/pub/bratislava/papers/ts 01/ts 01 schwieger.pdf (http://www.fig.net/pub/bratislava/papers/ts01/ts 01 schwieger.pdf)
34. Sun, D. and Pinker, R. T. 2003. Estimation of Land Surface Temperature from a Geostationary Operational Environmental Satellite (GOES-8). Journal of Geophysical Research, 108(D11): 4326-41.
35. Verstraeten, W. W., Veroustraete, F., Van Der Sande, C. J., Grootaers, I. and Feyen, J. 2006. Soil Moisture Retrieval Using Thermal Inertia, Determined with Visible and Thermal Spaceborne Data, Validated for European Forests. Remote Sensing of Environment, 101: 299-314.
36. Wetzel, P. J., Atlas, D. and Woodward, R. H. 1984. Determining Soil Moisture from Geosynchronous Satellite Infrared Data: A Feasibility Study. Journal of Climate and Applied Meteorology, 23: 375-91.
37. Wetzel, P. J. and Woodward, R. H. 1987. Soil Moisture Estimation Using GOES-VISSR Infrared Data: A Case Study with a Simple Statistical Method. Journal of Climate and Applied Meteorology, 26: 107-17.