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Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data
Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 42× · AI/ML
Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data
Summary
Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data is a scholarly article[1].
Key Facts
Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-capabilities-of-machine-learning-algorithms-for-aquatic-vegetation-classification-in-temperate-wetlands-using
MLA“Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-capabilities-of-machine-learning-algorithms-for-aquatic-vegetation-classification-in-temperate-wetlands-using.
BibTeX@misc{4ortxyz_evaluating-capabilities-of-machine-learning-algorithms-for-aquatic-vegetation-classification-in-temperate-wetlands-using_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-capabilities-of-machine-learning-algorithms-for-aquatic-vegetation-classification-in-temperate-wetlands-using}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data — https://4ort.xyz/entity/evaluating-capabilities-of-machine-learning-algorithms-for-aquatic-vegetation-classification-in-temperate-wetlands-using (retrieved 2026-05-24)
