Predicting global terrestrial biomes with the LeNet convolutional neural network
18 April 2022
Accurately predicting global coverage of terrestrial biome is one of the earliest ecological concerns, and many empirical schemes have been proposed to characterize their relationship. Here, the authors demonstrate an accurate and practical method to construct empirical models for operational biome mapping via a convolutional neural network (CNN) approach.
The press release by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) can be found at: https://www.jamstec.go.jp/e/about/press_release/20220418/
Contact: Hisashi Sato (firstname.lastname@example.org)