Mapping sugarcane plantations in Northeast Thailand using multi-temporal data from multi-sensors and machine-learning algorithms
The effectiveness of machine learning algorithms and the limited reference data introduce uncertainness for sugarcane classification. To address these problems, our study classified sugarcane plantations at the field scale using multi-temporal and multi-sensor data together with a large number of gr...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2025.2463730 |
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