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This repository contains the data used in the paper 'Automated river barrier detection evidences severe habitat fragmentation of the megadiverse Mekong River'. The 'FCOS' folder contains the python file of the barrier detection model (FCOS ResNext-101-2x-FPN) which used to train and detect river barriers from remotely sensed photographic images in the MMDetection framework. The 'R_script' folder contains R files used in the paper. Coordinate.R was used to extract coordinate from bounding boxes in each TIF image. CAFI.R was used to calculate the CAFI index in each sub-catchment. For more information on the MMDetection, refer to the following GitHub repository: https://github.com/open-mmlab/mmdetection
River barrier, River connectivity, Convolutional Neural Networks, Mekong River, Dams
River barrier, River connectivity, Convolutional Neural Networks, Mekong River, Dams
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