Optimizing KNN and multi-features extracted from GF-1 and GF-3 for forest above-ground biomass (AGB) estimation
China is advancing toward its carbon peak and neutrality goals, in which accurate above-ground biomass (AGB) estimation is crucial. In this study, GF-1, GF-3, and their combined data from Yiliang and Puer were used, testing KNN and two enhanced algorithms (KNN-FIFS and GA-KNN) for AGB estimation. We...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2547287 |
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