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.
