A method of estimating soil moisture based on the linear decomposition of mixture pixels

Mathematical and Computer Modelling

Volumn 58, Issue 3-4, 2013, Pages 606-613

  Gao, Zhongling ^a,b   Xu, Xingang ^b   Wang, Jihua ^b   Yang, Hao ^b   Huang, Wenjiang ^b   Feng, Huihui ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b INSTITUTE OF PLANT AND ENVIRONMENT PROTECTION   (China)

Author keywords

Linear decomposition of mixture pixels; Red nir spectral feature space; Remote sensing; Soil line; Surface soil moisture

Indexed keywords

CORRELATION COEFFICIENT; EMPIRICAL RELATIONSHIPS; LINEAR-DECOMPOSITION; REMOTE SENSING IMAGES; REMOTELY SENSED IMAGES; SOIL LINE; SPECTRAL FEATURE; SURFACE SOIL MOISTURE;

ESTIMATION; IMAGE RECONSTRUCTION; MIXTURES; REFLECTION; REMOTE SENSING; SOIL MOISTURE;

PIXELS;

EID: 84892431662     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2011.10.054     Document Type: Article

References (22)

1. Schmugge T., Gloersen P., Wilheit T., et al. Remote sensing of soil moisture with microwave radiometers. Journal of Geophysical Research 1974, 79(2):317-323.
2. Jackson T., Schmugge T., Wang J.R. Passive microwave remote sensing of soil moisture under vegetation canopies. Water Resources Research 1982, 18(4):1137-1142.
3. Price J.C. Thermal inertia mapping: a new view of the earth. Journal of Geophysical Research 1977, 82(18):2582-2590.
4. Pratt A., Ellyett C.D. The thermal inertia approach to mapping of soil moisture and geology. Remote Sensing of Environment 1979, 8(2):151-168.
5. Carlson T.N. Regional scale estimations of surface moisture availability and thermal inertia using remote sensing measurements. Remote Sensing Reviews 1986, 1(2):197-247.
6. Jackson R.D., Idso S.B., Reginato R.J. Canopy temperature as a crop water stress indicator. Water Resource Research 1981, 17(1):133-138.
7. Moran M.S., Clarke T.R., Kustas W.P., et al. Evaluation of hydrologic parameters in semiarid rangeland using remotely sensed spectral data. Water Resource Research 1994, 30(5):1287-1297.
8. Goward S.N., Hope A.S. Evaporation from combined reflected solar and emitted terrestrial radiation: preliminary FIFE results from AVHRR data. Advances in Space Research 1989, 9(7):239-249.
9. Price J.C. Using spatial context in satellite data to infer regional scale evaportranspiration. IEEE Transactions on Geoscience and Remote Sensing 1990, 28(5):940-948.
10. Sandholt I., Rasmussen K., Anderson J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment 2002, 79(2):213-224.
11. Xiao X., Boles S., Liu J., et al. Characterization of forest in Northeastern China, using multi-temporal SPOT-4 VEGETATION sensor data. Remote Sensing of Environment 2002, 82:335-348.
12. Jackson J.T., Chen D., Cosh M., et al. Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sensing of Environment 2004, 92(4):475-482.
13. Maki M., Ishiara M., Tamura M. Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data. Remote Sensing of Environment 2004, 90(4):441-450.
14. Chen D., Huang J., Jackson T.J. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands. Remote Sensing of Environment 2005, 98:225-236.
15. Delbart N., Kergoat L., Toan T.L., et al. Determination of phonological date in boreal regional using normalized difference water index. Remote Sensing of Environment 2005, 97:26-38.
16. Fensholt R., Sandholt I. Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. Remote Sensing of Environment 2003, 87(1):111-121.
17. Peters A.J., Walter-Shea E.A., Ji L., et al. Drought monitoring with NDVI-based standardized vegetation index. Photogrammetric Engineering and Remote Sensing 2002, 68(1):71-75.
18. Kogan F.N. Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing 1990, 11(8):1405-1420.
19. Kogan F.N. Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 1995, 15(11):91-100.
20. Jackson R.D., Slater P.N., Pinter P.J. Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres. Remote Sensing of Environment 1983, 13(3):187-208.
21. Liu P.J., Zhang L., Alishir K., et al. An estimate method of optical vegetation coverage using TM data. Remote Sensing Technology and Application 1995, 10(4):9-14. (in Chinese with English abstract).
22. Baret F., Clevers J.G.P.W., Steven M.D. The robustness of canopy gap fraction estimation from red and near-infrared reflectances: a comparison of approaches. Remote Sensing of Environment 1995, 54(2):141-151.