dc.contributor.advisor |
Im, Jungho |
- |
dc.contributor.author |
Park, Seohui |
- |
dc.date.accessioned |
2024-01-29T15:39:23Z |
- |
dc.date.available |
2024-01-29T15:39:23Z |
- |
dc.date.issued |
2022-08 |
- |
dc.description.degree |
Doctor |
- |
dc.description |
Department of Urban and Environmental Engineering |
- |
dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/73842 |
- |
dc.identifier.uri |
http://unist.dcollection.net/common/orgView/200000643055 |
- |
dc.language |
eng |
- |
dc.publisher |
Ulsan National Institute of Science and Technology (UNIST) |
- |
dc.rights.embargoReleaseDate |
9999-12-31 |
- |
dc.rights.embargoReleaseTerms |
9999-12-31 |
- |
dc.subject |
Aerosol, PM10, PM2.5, satellite, AOD, deep learning, machine learning |
- |
dc.title |
Improved Monitoring and Nowcasting of Particulate Matter based on Machine Learning through the Synergistic Use of Satellite and Model Products over East Asia |
- |
dc.type |
Thesis |
- |