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植被碳同化估测与遥感信息的关系研究 被引量:1

The relationship between estimation of vegetation carbon assimilation and remote sensing information.
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摘要 简析了估测植被碳同化遥感-光合机理模型的重要性,阐述了遥感信息反演的参数与植被碳同化的关系,其中包括归一化差值光谱植被指数(NDVI)、叶面积指数(LAI)、吸收光合有效辐射(APAR)、热红外辐射(TIR)等与植被碳同化之间关系,为建立全遥感-光合机理碳同化模型,应用遥感信息估测植被碳同化提供依据。 The relationships among vegetation carbon assimilation and remote sensing information such as NDVI (normalized difference vegetation index), LAI (leaf area index), APAR (absorbed photosynthetically active radiation), and TIR (thermal infrared radiation) were analyzed in this paper. It will be essential to establish the estimation model of carbon assimilation using remote sensing information and photosynthesis mechanism, and serve as an independent comparison to more detailed eco-physiological models of biological process.
出处 《中国生态农业学报》 CAS CSCD 2003年第3期5-8,共4页 Chinese Journal of Eco-Agriculture
基金 中国科学院知识创新工程项目(KZCX1-SW-01-11) 国家自然科学基金(39900084) 国家重点科技攻关项目
关键词 植被碳同化 估测 遥感信息 全遥感-光合机理模型 叶面积指数 吸收光合有效辐射 热红外辐射 归一化差值光谱植被指数 Vegetation carbon assimilation, Remote sensing information, Estimation model, Photosynthesis
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