| 改善港湾初级生产力遥感探测方法的探讨 |
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| 引用本文： | 陈晓翔,李铁芳,英登耿.改善港湾初级生产力遥感探测方法的探讨[J].热带海洋学报,1995(4). |
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| 作者姓名： | 陈晓翔 李铁芳 英登耿 |
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| 作者单位： | 中山大学遥感中心 |
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| 摘 要： | 从遥感光谱信号在海水中的传播特点出发，分析了目前应用遥感方法探测港湾初级生产力精度不高的原因；并从港湾初级生产力的生存条件着手，指出水交换状态是一种有效的可监测因素，可将其引入到港湾初级生产力的遥感探测模型中。提出了互补性参数的引入可能是模型改善的原因。通过作者在大亚湾的初步试验表明；水交换状态参数的引用，模型的误差从６．５％降为０．２６％，精度大大提高，从而证明了该方法的可行性和有效性。
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| 关 键 词： | 遥感，初级生产力，互补性参数 |
AN APPROACH TO IMPROVE PRIMARY PRODUCTIVITY REMOTE SENSING SURVEYS OF BAYS |
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| Chen Xiaoxiang, Li Tiefang, Ying Denggeng.AN APPROACH TO IMPROVE PRIMARY PRODUCTIVITY REMOTE SENSING SURVEYS OF BAYS[J].Journal of Tropical Oceanography,1995(4). |
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| Authors: | Chen Xiaoxiang Li Tiefang Ying Denggeng |
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| Institution: | Zhongshan University. Guangzhou 510275 |
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| Abstract: | Based on the feature when the remote sensing signal spreads through sea water, the paper disccussed the reason why at present high precision can not be conducted in primary productivity remote sensing surveys of bays. Starting from the living conditions of primary productivity in the bay,it is pointed out that the water exchange status is a valid factor which can be introduced into the model of remote sensing survey,for primary productivity in bays. It is also pointed out that the introduction of mutual-compensative parameters might be the reason for improving the model. Our tests in Daya Bay have shown that due to the introduction of water exchange status, the precision has greatly improved from an error. of 6.5% to 0. 26%, proving that the method is feasible and valid. |
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| Keywords: | remote sensing primary productivity mutual-compensated parameter |
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