A Condition-Aware Shading Domain-Adaptive Framework for Robust Chlorophyll Inversion Across Shade Managements in Hopea hainanensis
ranging from 0.456 to 0.585. Further evaluation at individual shading levels (S1-S4) showed that CAI-DAI produced narrower error ranges than CA-IE. It also showed smaller error fluctuations under most fine-tuning ratios. These results demonstrate that the proposed framework effectively improves robustness under heterogeneous shading conditions and limited labeled samples, providing methodological support for chlorophyll monitoring and decision-making related to shade management.
Authors
- Lin Chen (ORCID: https://orcid.org/0000-0001-7813-0567)
- Chuanteng Huang
- Miaoyi Han
- Xiaoli Yang (ORCID: https://orcid.org/0000-0002-7873-9169)
- Feifei Chen (ORCID: https://orcid.org/0000-0002-3074-5076)
- Mengmeng Shi (ORCID: https://orcid.org/0009-0007-3670-8413)
- Ying Yuan
- Ling Lin
- Xiaona Dong
- Huilin Yu
Institutions
- Institute of Forest Resource Information Techniques (CN)
- Chinese Academy of Forestry (CN)
- Hainan Agricultural School (CN)
- Technical University of Munich (DE)
Publication Details
- Journal
- Plants
- Published
- 2026-04-17
- DOI
- https://doi.org/10.3390/plants15081236
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Forestry