References
- 1. Liu, X. D., Wu, Q. X., & Su, N. H.1989 Studies on rainfall interception in canopy, litter and soil hydrological characteristics of forests in Liupanshan mountains. Scientia Silvae Sinicae, 25(3), 220-227.
- 2. Kyziol, L. 2013 Stress-corrosion resistance of the EN AW-AlZn5Mg1,5CuZr alloy in different heat treatment states. Polish Maritime Research, 20(4), 39-44.
- 3. Ogee, J. & Brunet, Y. 2002 A forest floor model for heat and moisture including a litter layer.Journal of Hydrology, 255(1), 212-233.
- 4. Rao, L.Y., Zhu, J. Z. &BI, H. X. 2005 Hydrological effects of forest litters and soil in the Simian mountain of Chongqing city.Journal of Beijing Forestry University.27(1), 33-37.
- 5. Hu, X. Y., YUu, X. Y. 2014 Hydrological characteristics of litters and soil in restoration and succession of Karst forest. Guangdong Agricultural Sciences, (23), 150-154.
- 6. Yang, W. N., Yuan,P.X. &Wan, X. N.2001 The study report: the ecological environment integrative survey and evaluation in the Minjiang upper river based on remote sensing, 863-308-21(6). Chengdu: Chengdu University of Technology Archives.
- 7. Wan, X. N., Yang, W. N., Wu, B F., Sun, W. D. & Huang, Q. 2004 Conception of Eco-water sphere and its application. Adv. Earth Sci, 6(19), 117-121.
- 8. Li, Y. X.,Yang, W. N., Tong, L., Jian, J.&Gu, X. F. 2009 Remote sensing quantitative monitoring and analysis fuel moisture content based on spectral index. Acta Optica Sinica, 29(5), 1403-1407.
- 9. Jian, J., Yang, W. N., Jiang, H., Wan, X. N., Li, Y. X. & Peng, L. 2012 A model for retrieving soil moisture saturation with Landsat remotely sensed data. International Journal of Remote Sensing, 33(14), 4553-4566.
- 10. Sun, B; Wei, M; Du, J; Ji, W; Wen, MQ. 2015 Multi-attribute Group Decision Making Method of Ecological Water Compensation Program Based on Preference of Decision Makers. Journal of Coastal Research, 73, 606-610.
- 11. Zhang, R. H., Tian J., Li Z. L., Su H. B., Chen S. H.& Tang X. Z. 2010(a) Principles and methods for the validation of quantitative remote sensing products.Science China(Earth Sciences), 53(5), 741-751.
- 12. Zhang, J. H., Xu, Y., Yao, F. M., Wang, P. J., Guo, W. J., Li, L. & Yang, L. M. 2010(b) Advances in estimation methods of vegetation water content based on optical remote sensing techniques. Science China Technological Sciences, 53(5), 1159-1167.
- 13. Wang, L. T., Wang, S. X., Zhou, Y., Liu, W. L. & Wang, F. 2011 Vegetation water content retrieval and application of drought monitoring using multispectral remote sensing. Spectroscopy and Spectral Analysis, 31(10), 2804-2808.
- 14. Yi, Q. X., Bao, A. M., Luo, Y. & Zhao, J. 2012 Measuring cotton water status using water-related vegetation indices at leaf and canopy levels. Journal of Arid Land, 4(3), 310-319.
- 15. Zhan, Z. M., Qin, Q. M., Ghulan, A. & Wang, D. D. 2007 NIR-red spectral space based new method for soil moisture monitoring. Science in China(Series D:Earth Sciences), 50(02), 283-289.
- 16. Qin, Q. M., You, L., Zhao, Y., Zhao, S. H. & Yao, Y. J. 2012 Soil line automatic identification algorithm based on two-dimensional feature space. Transactions of the CSAE, 28(3), 167-171.
- 17. Wu, Y., Su, Z. X. & Fang, J. Y. 2003 Study on causes and ecological renewal of arid and warm valley of upper Minjiang river. Journal of China West Normal University(Natural Sciences), 24(3), 276-281.
- 18. Sansom, A. L. 1999 Upland vegetation management: the impacts of overstocking. Water Science and Technology, 39(12), 85-92