Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests
Abstract Background Classifying and mapping vegetation are crucial tasks in environmental science and natural resource management. However, these tasks are difficult because conventional methods such as field surveys are highly labor-intensive. Identification of target objects from visual data using...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-11-01
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| Series: | BMC Ecology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12898-020-00331-5 |