Using time series of sentinel-1 images to produce dry bathymetry of rivers
| dc.creator | Philippe Maillard | |
| dc.date.accessioned | 2022-05-31T20:37:37Z | |
| dc.date.accessioned | 2025-09-08T23:07:39Z | |
| dc.date.available | 2022-05-31T20:37:37Z | |
| dc.date.issued | 2020 | |
| dc.format.mimetype | ||
| dc.identifier.doi | https://doi.org/10.5194/isprs-annals-V-3-2020-387-2020 | |
| dc.identifier.issn | 2194-9050 | |
| dc.identifier.uri | https://hdl.handle.net/1843/42145 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | International Society for Photogrammetry and Remote Sensing Congress | |
| dc.rights | Acesso Aberto | |
| dc.subject | Hidrologia | |
| dc.subject | São Francisco, Rio | |
| dc.subject | Rios - Nível da água | |
| dc.subject.other | River width | |
| dc.subject.other | Sentinel-1 | |
| dc.subject.other | Hydrology | |
| dc.subject.other | Dry bathymetry | |
| dc.subject.other | Water surface | |
| dc.title | Using time series of sentinel-1 images to produce dry bathymetry of rivers | |
| dc.type | Artigo de evento | |
| local.citation.epage | 394 | |
| local.citation.issue | XXIV | |
| local.citation.spage | 387 | |
| local.description.resumo | A method is presented to produce river cross section profiles from a time series of Sentinel-1 images paired with water level data. Four programs are presented that generate river width data and cross section profiles from SAR or optical images. The programs generate a river bank and island width database with minimum manual intervention. Water level data from in situ stations are interpolated to match the width data and create elevation points from which the cross section profiles are produced. The method is fully described and tested on the São Francisco River in Brazil. The width data are plotted against discharge data to compare their progression. Over 1700 cross sections were produced and classified by their shape. Potential and limitations are presented. | |
| local.publisher.country | Brasil | |
| local.publisher.department | IGC - DEPARTAMENTO DE CARTOGRAFIA | |
| local.publisher.department | IGC - DEPARTAMENTO DE GEOGRAFIA | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/387/2020/ |