Automatic vegetation identification in Google Earth images using a convolutional neural network: A case study for Japanese bamboo forests
This study uses a convolutional neural network to automatically identify Japanese bamboo forests in Google Earth images, achieving 97% detection accuracy with high-resolution images and quality training data.
bioRxiv · Nov 7, 2018 · PreprintEcology