| Yao, J and Raffuse, SM and Brauer, M and Williamson, GJ and Bowman, DMJS and Johnston, FH and Henderson, SB, “Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite”, Remote Sensing of Environment, 206 pp. 98-106. ISSN 0034-4257 (2018) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Strategic Basic Research |
| Research Division | Environmental Sciences |
| Research Group | Pollution and contamination |
| Research Field | Pollution and contamination not elsewhere classified |
| Research Objective Division | Health |
| Research Objective Group | Public health (excl. specific population health) |
| Research Objective Field | Public health (excl. specific population health) not elsewhere classified |
| Visit Item on eCite | http://ecite.utas.edu.au/123848 |
| Digital Object Identifier | doi:10.1016/j.rse.2017.12.027 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 36 |
