A recent study has developed a deep learning model (SGDenseNet) which uses satellite imagery to map seagrass meadows more efficiently. Researchers used 1,067 independent seagrass field data samples from SeagrassSpotter to test the accuracy of their deep learning model.
A novel deep learning algorithm for broad scale seagrass extent mapping in shallow coastal environments
Recently, the importance of seagrasses in the functioning of coastal ecosystems and their ability to mitigate climate change has gained increased reco…
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