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Estimation of river flow using CubeSats remote sensing

2021Journal article Restricted access
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dc.contributor.authorJunqueira, Adriano M.
dc.contributor.authorMao, Feng
dc.contributor.authorMendes, Tatiana S.G.
dc.contributor.authorSimões, Silvio
dc.contributor.authorBalestieri, José A.P.
dc.contributor.authorHannah, David M.
dc.date.accessioned2021-07-19T08:42:25Z
dc.date.available2021-07-19T08:42:25Z
dc.date.issued2021
dc.description.abstractRiver flow characterizes the integrated response from watersheds, so it is essential to quantify to understand the changing water cycle and underpin the sustainable management of freshwaters. However, river gauging stations are in decline with ground-based observation networks shrinking. This study proposes a novel approach of estimating river flows using the Planet CubeSats constellation with the possibility to monitor on a daily basis at the sub-catchment scale through remote sensing. The methodology relates the river discharge to the water area that is extracted from the satellite image analysis. As a testbed, a series of Surface Reflectance PlanetScope images and observed streamflow data in Araguaia River (Brazil) were selected to develop and validate the methodology. The study involved the following steps: (1) survey of measurements of water level and river discharge using in-situ data from gauge-based Conventional Station (CS) and measurements of altimetry using remote data from JASON-2 Virtual Station (JVS); (2) survey of Planet CubeSat images for dates in step 1 and without cloud cover; (3) image preparation including clipping based on different buffer areas and calculation of the Normalized Difference Vegetation Index (NDVI) per image; (4) water bodies areas calculation inside buffers in the Planet CubeSat images; and (5) correlation analysis of CubeSat water bodies areas with JVS and CS data. Significant correlations between the water bodies areas with JVS (R2 = 88.83%) and CS (R2 = 96.49%) were found, indicating that CubeSat images can be used as a CubeSat Virtual Station (CVS) to estimate the river flow. This newly proposed methodology using CubeSats allows for more accurate results than the JVS-based method used by the Brazilian National Water Agency (ANA) at present. Moreover, CVS requires small areas of remote sensing data to estimate with high accuracy the river flow and the height variation of the water in different timeframes. This method can be used to monitor sub-basin scale discharge and to improve water management, particularly in developing countries where the presence of conventional stations is often very limited.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.scitotenv.2021.147762pt_PT
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10400.1/16781
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectRiver flowpt_PT
dc.subjectCubeSatpt_PT
dc.subjectRemote sensingpt_PT
dc.subjectCerrado (Savannah)pt_PT
dc.subjectChange detectionpt_PT
dc.subjectSpatiotemporal resolutionpt_PT
dc.titleEstimation of river flow using CubeSats remote sensingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage147762pt_PT
oaire.citation.titleScience of The Total Environmentpt_PT
oaire.citation.volume788pt_PT
person.familyNameSimões
person.givenNameSilvio
person.identifier.orcid0000-0003-1079-1419
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4af2e22c-816d-4d2e-8fff-102e787a024c
relation.isAuthorOfPublication.latestForDiscovery4af2e22c-816d-4d2e-8fff-102e787a024c

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