Suaeda Salsa Biomass Remote Sensing in the ShuangTai River Estuary

Abstract:

Suaeda salsa is the characteristics vegetation in the wetlands of Northern China. By acquiring Suaeda Salsa biomass, building spectral reflectance curve, probing into the relationship between the vegetation indices and the biomass, and finally achieving Suaeda Salsa’s biomass remote sensing monitor in the ShuangTai river estuary, Conclusions are as follows: 1). Correlation coefficient between the biomass and the vegetation indices (RVI and NDVI) is low, and Linear regression equation (R2) is 0.342 and 0.316, and the Logarithmic regression equation (R²) is 0.319 and 0.21, and the Quadratic equation (R2) is 0.589 and 0.568. Correlation coefficient between the biomass and the vegetation indices (PVI, SAVI and MSAVI) is high, and the linear regression equation is 0.626、0.698 and 0.679, respectively. The logarithmic regression equation is 0.592、0.706 and 0.683 respectively and the quadratic equation is 0.688、0.711 and 0.683. 2). Suaeda salsa’s biomass is consistent with the distribution area in the Shuangtai river estuary. Total biomass maintained at 2.9 × 10⁷- 4.2 × 10⁸kg in 1990, and dropped to 3.4 × 10⁶ ~ 3.5 × 10⁷kg in 1995. In 2000, the quadratic function of vegetation version biomass rebounded, but linear function continues to fall. Biomass increased rapidly, reaching 1.46 ~ 2.4 × 108kg in 2005.

• Periodical: Advanced Materials Research (Volumes 610-613)
• Pages: 3651-3654
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.610-613.3651
• Online since: December 2012
• Authors: Tao Wu, Dong Zhi Zhao, Guo Jun Jiang, Wei Xu, Cui Xiao
• Keywords: Biomass, Regression, Remote Sensing, Spectrum, Suaeda salsa

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