Improved Soybean Mapping with Spectral Gaussian Mixture Modeling
Soybeans are a globally important crop, both commercially and nutritionally. Accurate mapping of soybean cultivation is essential for optimizing production and informing market strategies. However, traditional sample-driven soybean mapping algorithms often rely on extensive, representative datasets,...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Journal of Remote Sensing |
| Online Access: | https://spj.science.org/doi/10.34133/remotesensing.0473 |
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