A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping
| dc.contributor.author | Lagomasino, David | |
| dc.contributor.author | Thomas, Nathan | |
| dc.date.accessioned | 2022-12-07T15:15:02Z | |
| dc.date.available | 2022-12-07T15:15:02Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | 10.1109/TGRS.2022.3192825 | |
| dc.identifier.issn | 0196-2892 | |
| dc.identifier.uri | http://hdl.handle.net/10342/11827 | |
| dc.language.iso | en_US | en_US |
| dc.subject | bathymetry | en_US |
| dc.subject | landsat8 | en_US |
| dc.subject | machine learning | en_US |
| dc.title | A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping | en_US |
| dc.type | Article | en_US |
| ecu.journal.name | IEEE Transactions on Geoscience and Remote Sensing | en_US |
| ecu.journal.volume | 60 | en_US |
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