Satellite remotely-sensed analysis of temporal-spatial variations of chlorophyll-a concentration in South China Sea

机译：南海卫星叶绿素a浓度时空变化的卫星遥感分析

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Taking the South China Sea as the study area, the present paper aims to obtain the spatial and temporal distributions of chlorophyll-a, based on the chlorophyll-a data remote sensed by SeaWiFS from September 1997 to December 2010. Calculate the monthly average of chlorophyll-a concentration through space superposition and analysis the distribution characteristics. In consideration of space regional characteristics of chlorophyll-a concentration in the research area, divide the research area into three zones used the spatial clustering method based on grid density and discuss the seasonal variation in each zone. In order to quantitatively express spatial distribution characteristics of chlorophyll-a concentration, a sinusoidal curve model is established using MATLAB to fit the time series in these zones for simulating the change trends, variation periods and fluctuation ranges of chlorophyll-a.

机译：本文以南海为研究区域，以1997年9月至2010年12月SeaWiFS遥感的叶绿素a数据为基础，获取叶绿素a的时空分布。计算叶绿素的月平均值。 -通过空间叠加进行集中并分析其分布特征。考虑到研究区域中叶绿素a浓度的空间区域特征，使用基于网格密度的空间聚类方法将研究区域划分为三个区域，并讨论每个区域的季节变化。为了定量表达叶绿素a浓度的空间分布特征，使用MATLAB建立了正弦曲线模型以拟合这些区域中的时间序列，以模拟叶绿素a的变化趋势，变化周期和波动范围。

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《2011 19th International Conference on Geoinformatics》|2011年|p.1-5|共5页
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作者
Wang Ying; Jiang Hong; Zhang Xiuying; Jin Jiaxin;
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中图分类环境质量评价与环境监测;测绘数据库与信息系统;
关键词
SeaWiFS; chlorophyll-a; remote sensing; temporal-spatial variations; the South China Sea;

机译：SeaWiFS;叶绿素a;遥感;时空变化;南海;

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专利

1. Seasonal and spring interannual variations in satellite-observed chlorophyll-a in the Yellow and East China Seas: New datasets with reduced interference from high concentration of resuspended sediment [J] . Yamaguchi H., Ishizaka J., Siswanto E., Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography . 2013,第Null期

机译：黄海和东海卫星观测叶绿素-a的季节和春季年际变化：新数据集减少了高浓度重悬沉积物的干扰
2. Temporal-spatial variations and developing trends of Chlorophyll-a in the Bohai Sea, China [J] . Fu Yanzhao, Xu Shiguo, Liu Jianwei Estuarine Coastal and Shelf Science . 2016,第Maya5期

机译：渤海叶绿素a的时空变化及发展趋势
3. Surface Chlorophyll-a Concentration Spatio-Temporal Variations in the Northern South China Sea Detected Using MODIS Data [J] . Fang Meihong, Ju Weimin, Liu Xiangnan, TAO: Terrastrial, atmospheric, and oceanic sciences . 2015,第3期

机译：利用MODIS数据检测南海北部表层叶绿素a浓度的时空变化
4. Satellite Remotely-sensed Analysis of Temporal-spatial Variations of Chlorophyll-a Concentration in South China Sea [C] . Ying Wang, Hong Jiang, Xiuying Zhang, International Conference on Geoinformatics . 2011

机译：卫星远程感应分析南海叶绿素 - 叶绿素浓度的颞空间变化分析
5. Satellite-based estimation of chlorophyll-a concentration in turbid productive waters. [D] . Moses, Wesley Jeremiah. 2009

机译：基于卫星的浊度生产水中叶绿素a浓度的估算。
6. Validation and Variation of Upper Layer Thickness in South China Sea from Satellite Altimeter Data [O] . Chun-Yi Lin, Chung-Ru Ho, Zhe-Wen Zheng, 2012

机译：卫星高度计数据验证南海上层厚度的变化
7. Seasonal and spring interannual variations in satellite-observed chlorophyll-a in the Yellow and East China Seas: New datasets with reduced interference from high concentration of resuspended sediment [O] . 山口寿史, 石坂丞二, シスワントエコ, 2013

机译：黄海和东海卫星观测叶绿素-a的季节和春季年际变化：新数据集减少了高浓度重悬沉积物的干扰

Satellite remotely-sensed analysis of temporal-spatial variations of chlorophyll-a concentration in South China Sea

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