Artificial intelligence convolutional neural networks map giant kelp forests from satellite imagery.

ABSTRACT: Climate change is producing shifts in the distribution and abundance of marine species. Such is the case of kelp forests, important marine ecosystem-structuring species whose distributional range limits have been shifting worldwide. Synthesizing long-term time series of kelp forest observations is therefore vital for understanding the drivers shaping ecosystem dynamics and for predicting responses to ongoing and future climate changes. Traditional methods of mapping kelp from satellite imagery are time-consuming and expensive, as they require high amount of human effort for image processing and algorithm optimization. Here we propose the use of mask region-based convolutional neural networks (Mask R-CNN) to automatically assimilate data from open-source satellite imagery (Landsat Thematic

SUBMITTER: Marquez L 

PROVIDER: S-EPMC9789120 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature