关键词: 生化组分, 反演方法, 经验分析, 半经验, 物理模型

Abstract:

The quantitative remote sensing research on vegetation biochemistry compositions is of great significance not only on many scientific research aspects, such as ecosystems, global change, carbon, nitrogen cycle et al, but also has great meaning of guiding agricultural production, monitoring crop growing status and assessment, analyzing the agricultural fertilizer situation, the fine classification of vegetation and early warning of forest fire, et al. Based on the comparative analysis of related work at home and abroad, the development progress of quantitative remote sensing of vegetation biochemistry compositions was summarized. From three aspects of experience analytical methods, semi-empirical analytical methods, physical model approach, the inversion methods and research developments at this stage of vegetation biochemistry compositions were summarized, the strengths and limitations of various methods were clear expatiated, and the development prospects of inversion of vegetation biochemistry compositions were pointed out according to the current development trend of satellite remote sensing.

Key words: biochemistry compositions, inversion methods, experience analytical methods, semi-empirical analytical methods, physical model