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Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China
Research article (Ecological Indicators, 2023) · cited 75× · AI/ML
Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China
Summary
Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China is a scholarly article[1].
Key Facts
Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/monitoring-multi-water-quality-of-internationally-important-karst-wetland-through-deep-learning-multi-sensor-and-multi-p
MLA“Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/monitoring-multi-water-quality-of-internationally-important-karst-wetland-through-deep-learning-multi-sensor-and-multi-p.
BibTeX@misc{4ortxyz_monitoring-multi-water-quality-of-internationally-important-karst-wetland-through-deep-learning-multi-sensor-and-multi-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China}}, year = {2026}, url = {https://4ort.xyz/entity/monitoring-multi-water-quality-of-internationally-important-karst-wetland-through-deep-learning-multi-sensor-and-multi-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China — https://4ort.xyz/entity/monitoring-multi-water-quality-of-internationally-important-karst-wetland-through-deep-learning-multi-sensor-and-multi-p (retrieved 2026-05-24)
