An Edge-assisted, Object-oriented Random Forest Approach for Refined Extraction of Tea Plantations Using Multi-temporal Sentinel-2 and High-resolution Gaofen-2 Imagery
As a consumed and influential natural plant beverage, tea is widely planted in subtropical and tropical areas all over the world. Affected by (sub) tropical climate characteristics, the underlying surface of the tea distribution area is extremely complex, with a variety of vegetation types. In addit...
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| Format: | Article |
| Language: | English |
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Surveying and Mapping Press
2023-03-01
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| Series: | Journal of Geodesy and Geoinformation Science |
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| Online Access: | http://jggs.chinasmp.com/fileup/2096-5990/PDF/1683188324198-585559152.pdf |