Assessing divergent ecological responses to forest and grassland dynamics using RSEI and interpretable machine learning in Northern Hebei, China
- DOI
- 10.1007/s10661-026-16061-y
- Published
- 2026-10-17
- Container
- Environmental Monitoring and Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-16061-y,
title = {Assessing divergent ecological responses to forest and grassland dynamics using RSEI and interpretable machine learning in Northern Hebei, China},
author = {Baoni Xie and Huiyan Li and Wei Li and Zhanfei Qin and Yanfang Wang and Hengtao Zuo and Ji Zhu and Shuhui Yu},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-16061-y},
url = {https://doi.org/10.1007/s10661-026-16061-y}
}RIS
TY - JOUR TI - Assessing divergent ecological responses to forest and grassland dynamics using RSEI and interpretable machine learning in Northern Hebei, China AU - Baoni Xie AU - Huiyan Li AU - Wei Li AU - Zhanfei Qin AU - Yanfang Wang AU - Hengtao Zuo AU - Ji Zhu AU - Shuhui Yu PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-16061-y UR - https://doi.org/10.1007/s10661-026-16061-y ER -
APA
Xie, B., Li, H., Li, W., Qin, Z., Wang, Y., Zuo, H., Zhu, J., & Yu, S. (2026). Assessing divergent ecological responses to forest and grassland dynamics using RSEI and interpretable machine learning in Northern Hebei, China. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-16061-y
Source records
- crossref · retrieved 2026-11-11T03:45:16.989Z