Home ›
Entities
› academia
› Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests
Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests
Research article (BMC Ecology, 2020) · cited 38× · AI/ML
Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests
Summary
Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests is a scholarly article[1].
Key Facts
Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-the-vegetation-type-in-google-earth-images-using-a-convolutional-neural-network-a-case-study-for-japanese-ba
MLA“Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-the-vegetation-type-in-google-earth-images-using-a-convolutional-neural-network-a-case-study-for-japanese-ba.
BibTeX@misc{4ortxyz_identifying-the-vegetation-type-in-google-earth-images-using-a-convolutional-neural-network-a-case-study-for-japanese-ba_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-the-vegetation-type-in-google-earth-images-using-a-convolutional-neural-network-a-case-study-for-japanese-ba}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests — https://4ort.xyz/entity/identifying-the-vegetation-type-in-google-earth-images-using-a-convolutional-neural-network-a-case-study-for-japanese-ba (retrieved 2026-05-24)