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Locality of Chlorophyll-A Distribution in the Intensive Study Area of the Ariake Sea, Japan in Winter Seasons based on Remote Sensing Satellite Data

机译：基于遥感卫星数据的日本有明海冬季季节密集研究区叶绿素a分布的局部性

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Kohei Arai;
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1. 植物叶绿素含量的遥感模型及用陆地卫星数据所作的二维分布图 [J] . 张仁华, 孙晓敏植物学报：英文版 . 1997,第009期
2. Combining in-situ water quality and remotely sensed data across spatial and temporal scales to measure variability in wet season chlorophyll-a: Great Barrier Reef lagoon (Queensland, Australia) [J] . Michelle J Devlin, Eduardo Teixeira da Silva, Caroline Petus, Ecological Processes . 2013,第1期

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3. Combining in-situ water quality and remotely sensed data across spatial and temporal scales to measure variability in wet season chlorophyll-a: Great Barrier Reef lagoon (Queensland, Australia) [J] . Michelle J Devlin, Eduardo Teixeira da Silva, Caroline Petus, Ecological Processes . 2013,第1期

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4. Predicting the spatiotemporal chlorophyll-a distribution in the Sea of Japan based on SeaWiFS ocean color satellite data [J] . Kiyofuji H., Hokimoto T., Saitoh S.-I. IEEE Geoscience and Remote Sensing Letters . 2006,第2期

机译：基于SeaWiFS海洋彩色卫星数据预测日本海的时空叶绿素a分布
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6. Estimation of air-sea carbon dioxide flux in Hudson Bay during the ice-free season using a combination of field data and satellite remote sensing products. [D] . Else, Brent Gordon Thomas. 2008

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7. Land surface black-sky albedo at a fixed solar zenith angle and its relation to forest structure during peak growing season based on remote sensing data [O] . Sara Alibakhshi, Thomas W. Crowther, Babak Naimi 2020

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8. Trend Analysis of Relatively Large Diatoms Which Appear in the Intensive Study Area of the Ariake Sea, Japan in Winter (2011-2015) based on Remote Sensing Satellite Data [O] . Kohei Arai, Toshiya Katano 2015

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9. Satellite Data Distribution System (SDDS). The Development and Demonstration of New Fisheries Support Products Based on Remote Ocean Sensing from Satellites [R] . Fuchsberg, R. R., Wright, R. A. 1980

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Locality of Chlorophyll-A Distribution in the Intensive Study Area of the Ariake Sea, Japan in Winter Seasons based on Remote Sensing Satellite Data

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