Rapid consistent reef surveys with DeepReefMap.

ABSTRACT: In light of the critical threat to coral reefs worldwide due to human activity, innovative monitoring strategies are needed that are efficient, standardized, scalable, and economical. This paper presents the results of the first large-scale transnational coral reef surveying endeavor in the Red Sea using DeepReefMap, which provides automatic analysis of video transects by employing neural networks for 3D semantic mapping. DeepReefMap is trained using imagery from low-cost underwater cameras, allowing surveys to be conducted and analyzed in just a few minutes. This initiative was carried out in Djibouti, Jordan, and Israel, with over 184 hours of collected video footage for training the neural network for 3D reconstruction. We created a semantic segmentation dataset of video frames with ove

SUBMITTER: Sauder J 

PROVIDER: S-EPMC12594997 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature