Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests.

Shuntaro WatanabeKazuaki SumiTakeshi Ise

Published in: BMC ecology (2020)

Our results demonstrated that CNN and the chopped picture method are potentially powerful tools for high-accuracy automated detection and mapping of vegetation.

Keyphrases

convolutional neural network
climate change
deep learning
high resolution
machine learning
loop mediated isothermal amplification
high throughput
real time pcr
high density