USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS

USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS

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 da...

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Main Author: P. Maillard
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/387/2020/isprs-annals-V-3-2020-387-2020.pdf
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spelling doaj-ba232c1e58214c4894a22c2e981d4e982020-11-25T03:56:31ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502020-08-01V-3-202038739410.5194/isprs-annals-V-3-2020-387-2020USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERSP. Maillard0Universidade Federal de Minas Gerais, Dept of Geography, Belo Horizonte, MG 31270-901, BrazilA 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.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/387/2020/isprs-annals-V-3-2020-387-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author P. Maillard
spellingShingle P. Maillard
USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet P. Maillard
author_sort P. Maillard
title USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS
title_short USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS
title_full USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS
title_fullStr USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS
title_full_unstemmed USING TIME SERIES OF SENTINEL-1 IMAGES TO PRODUCE DRY BATHYMETRY OF RIVERS
title_sort using time series of sentinel-1 images to produce dry bathymetry of rivers
publisher Copernicus Publications
series ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 2194-9042
2194-9050
publishDate 2020-08-01
description 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.
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/387/2020/isprs-annals-V-3-2020-387-2020.pdf
work_keys_str_mv AT pmaillard usingtimeseriesofsentinel1imagestoproducedrybathymetryofrivers
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