Spatiotemporal Prediction of River Fish Biodiversity by Multimodal Deep Learning of eDNA and Satellite Imagery.
- DOI
- 10.1021/acs.est.6c05038
- Published
- 2026 Aug 18
- Container
- Environmental science & technology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.6c05038,
title = {Spatiotemporal Prediction of River Fish Biodiversity by Multimodal Deep Learning of eDNA and Satellite Imagery.},
author = {Zhang S and Zhang X and Zhong W and Wang Y and Zong S and Pellissier L},
year = {2026},
journal = {Environmental science \& technology},
doi = {10.1021/acs.est.6c05038},
url = {https://doi.org/10.1021/acs.est.6c05038}
}RIS
TY - JOUR TI - Spatiotemporal Prediction of River Fish Biodiversity by Multimodal Deep Learning of eDNA and Satellite Imagery. AU - Zhang S AU - Zhang X AU - Zhong W AU - Wang Y AU - Zong S AU - Pellissier L PY - 2026 JO - Environmental science & technology DO - 10.1021/acs.est.6c05038 UR - https://doi.org/10.1021/acs.est.6c05038 ER -
APA
S, Z., X, Z., W, Z., Y, W., S, Z., & L, P. (2026). Spatiotemporal Prediction of River Fish Biodiversity by Multimodal Deep Learning of eDNA and Satellite Imagery.. Environmental science & technology. https://doi.org/10.1021/acs.est.6c05038
Source records
- pubmed · retrieved 2026-11-10T12:05:35.078Z
- europe-pmc · retrieved 2026-11-10T12:05:35.090Z