Study reveals 2016–2021 interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution
A research group led by Prof. Wang Zongming from the Northeast Institute of Geography and Agroecology (IGA) of the Chinese Academy of Sciences has developed an object-oriented method to obtain the annual 10-m-spatial-resolution national coastal aquaculture pond dataset of China between 2016 and 2021 (China_CAP), with an overall classification accuracy of more than 90%. The method integrated superpixels image segmentation and hierarchical decision trees.
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A research group led by Prof. Wang Zongming from the Northeast Institute of Geography and Agroecology (IGA) of the Chinese Academy of Sciences has developed an object-oriented method to obtain the annual 10-m-spatial-resolution national coastal aquaculture pond dataset of China between 2016 and 2021 (China_CAP), with an overall classification accuracy of more than 90%. The method integrated superpixels image segmentation and hierarchical decision trees.
