[1] Seneviratne S I,Corti T,Davin E L,et al. Investigating soil moisture-climate interactions in a changing climate: A review[J].Earth-Science Reviews,2010,99(3):125-161.
[2] Price J C. On the use of satellite data to infer surface fluxes at meteorological scales[J]. J Salmeterol, 1982, 21:1111-1122.
[3] Kogan F. Remote sensing of weather impacts on vegetation in non-homogeneous areas[J]. Int J Remote Sens, l990, 11: 1405-1419.
[5] Hirsave P P, Narayanan P M. Soil moisture estimation models using SIR-C SAR data :a case study in New Hampshire, USA[J].Remote Sensing of Environment, 2001,(75):385-396 .
[6] Ulaby F,Sarabandi K,Donald K M, et al. Michigan microwave canopy scattering model[J]. International Journal of Remote Sensing,1990,11(7):1223-1253.
[7] De Roger R D,Yang D,Ulaby F T, et al. A semi——empirical backscattering model at L——band and C - band for a soybean canopy with soil moisture inversion[J]. IEEE Transactions on Geoscience and Remote Sensing. 2001,39(4):864-872.
[8] Bindlish R, Thomas J S, Eric W, et al. Soil moisture estimates from TRMM Microwave Imager observations over the Southern United States[J]. Remote Sens Environ, 2003, 85: 507-515.
[10] Bindlish R, Barros A P1 Parameterization of vegetation backscatter2 in radar2based, soil moisture estimation[J]. Remote Sensing of Environment, 2001,(76):130 - 137.
[11] Jiménez-Mumoz J C, Sobrino J A, Skokovic D, et al.2014. Land surface temperature retrieval methods from landsat-8 thermal infrared sensor data[J]. IEEE Geosci. Remote Sens. Lett., 2014,11(10):1840-1843.
[12] Nichol.J. An emissivity modulation method for spatial enhancement of thermal satellite images in urban heat island analysis[J]. American Society for Photogrammetry and Remote Sensing,2009,75(5):547-556.