Show simple item record

dc.contributor.advisorPhan, Hien Vu
dc.contributor.authorPhan, Xuan Huy
dc.date.accessioned2024-03-26T02:53:02Z
dc.date.available2024-03-26T02:53:02Z
dc.date.issued2023
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/5324
dc.description.abstractFlooding is a destructive natural calamity that may destroy infrastructure, crops, and houses, as well as cause fatalities. Remote sensing technology is an effective technique for mapping and monitoring floods. Remote sensing technology offers tremendous potential to improve flood mapping and response capabilities, therefore reducing the impact of severe disasters on vulnerable areas. Traditional approaches, in other ways, have several restrictions on processing time and data sources. The purpose of this study was to assess the usability of the Google Earth Engine platform in the generation of flood maps for the Vietnam Mekong Delta from 2020 to 2022 and the benefits of using remote sensing and Sentinel 1 for flood monitoring.en_US
dc.language.isoenen_US
dc.subjectFloodingen_US
dc.subjectRemote sensing technologyen_US
dc.titleFlood Monitoring In The Mekong Delta, Vietnam Using Sentinel-1 Images From 2020 To 2022en_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record