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A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea
Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 20× · AI/ML
A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea
Summary
A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea is a scholarly article[1].
Key Facts
A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-machine-learning-approach-to-investigate-the-changing-urban-thermal-environment-by-dynamic-land-cover-transform
MLA“A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-machine-learning-approach-to-investigate-the-changing-urban-thermal-environment-by-dynamic-land-cover-transform.
BibTeX@misc{4ortxyz_a-hybrid-machine-learning-approach-to-investigate-the-changing-urban-thermal-environment-by-dynamic-land-cover-transform_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-machine-learning-approach-to-investigate-the-changing-urban-thermal-environment-by-dynamic-land-cover-transform}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea — https://4ort.xyz/entity/a-hybrid-machine-learning-approach-to-investigate-the-changing-urban-thermal-environment-by-dynamic-land-cover-transform (retrieved 2026-05-24)
