OCEANIC PRIMARY PRODUCTION - ESTIMATION BY REMOTE-SENSING AT LOCAL AND REGIONAL SCALES
OCEANIC PRIMARY PRODUCTION - ESTIMATION BY REMOTE-SENSING AT LOCAL AND REGIONAL SCALES
复制标题
DOI：
10.1126/science.241.4873.1613
复制
发表时间：
1988-09-23
期刊：
影响因子：
56.9
通讯作者：
SATHYENDRANATH, S
中科院分区：
文献类型：
--
作者：
PLATT, T;SATHYENDRANATH, S
卫星是在海洋盆地尺度上研究海洋初级生产力的唯一途径。利用海洋水色遥感数据绘制叶绿素分布图，推导适合于初级生产力计算的算法，是应用植物生理学中的一个难题。提出了一种算法，结合光谱和角度模型的海底光的光谱响应的藻类光合作用的模型。为了在大的水平尺度上应用该算法，需要对水柱的生理速率参数和生物结构进行动态水文学分析。应进行实地工作以获得这类数据，以便在现代生物海洋学中最佳利用卫星数据。
Satellites provide the only avenue by which marine primary production can be studied at ocean-basin scales. With maps of chlorophyll distribution derived from remotely sensed data on ocean color as input, deduction of a suitable algorithm for primary production is a problem in applied plant physiology. An algorithm is proposed that combines a spectral and angular model of submarine light with a model of the spectral response of algal photosynthesis. To apply the algorithm at large horizontal scale, a dynamic biogeography is needed for the physiological rate parameters and the biological structure of the water column. Fieldwork to obtain this type of data should be undertaken so that the use of satellite data in modern biological oceanography may be optimized.