Indirect assessment of sedimentation in hydropower dams using MODIS remote sensing images

Simple item page
dc.contributor.authorCondé, Rita de Cássia
dc.contributor.authorMartinez, Jean-Michel
dc.contributor.authorPessotto, Marco Aurélio
dc.contributor.authorEspinoza Villar, Raúl Arnaldo
dc.contributor.authorCochonneau, Gérard
dc.contributor.authorHenry, Raoul
dc.contributor.authorLopes, Walszon
dc.contributor.authorNogueira, Marcos
dc.coverage.spatialRio Paranapanema
dc.coverage.spatialBrasil
dc.date.accessioned2019-02-13T14:56:32Z
dc.date.available2019-02-13T14:56:32Z
dc.date.issued2019-02-05
dc.description.abstractIn this study, we used moderate resolution imaging spectroradiometer (MODIS) satellite images to quantify the sedimentation processes in a cascade of six hydropower dams along a 700-km transect in the Paranapanema River in Brazil. Turbidity field measurement acquired over 10 years were used to calibrate a turbidity retrieval algorithm based on MODIS surface reflectance products. An independent field dataset was used to validate the remote sensing estimates showing fine accuracy (RMSE of 9.5 NTU, r = 0.75, N = 138). By processing 13 years of MODIS images since 2000, we showed that satellite data can provide robust turbidity monitoring over the entire transect and can identify extreme sediment discharge events occurring on daily to annual scales. We retrieved the decrease in the water turbidity as a function of distance within each reservoir that is related to sedimentation processes. The remote sensing-retrieved turbidity decrease within the reservoirs ranged from 2 to 62% making possible to infer the reservoir type and operation (storage versus run-of-river reservoirs). The reduction in turbidity assessed from space presented a good relationship with conventional sediment trapping efficiency calculations, demonstrating the potential use of this technology for monitoring the intensity of sedimentation processes within reservoirs and at large scale.es_ES
dc.description.peer-reviewPor pareses_ES
dc.formatapplication/pdfes_ES
dc.identifier.citationCondé, R. C., Martinez, J.-M., Pessotto, M. A., Villar, R., Cochonneau, G., Henry, R., ... Nogueira, M. (2019). Indirect assessment of sedimentation in hydropower dams using MODIS remote sensing images.==$Remote Sensing, 11$==(3), 314. https://doi.org/10.3390/rs11030314es_ES
dc.identifier.doihttps://doi.org/10.3390/rs11030314es_ES
dc.identifier.govdocindex-oti2018
dc.identifier.journalRemote Sensinges_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12816/4090
dc.language.isoenges_ES
dc.publisherRemote Sensinges_ES
dc.relation.ispartofurn:issn:2072-4292
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.subjectParanapanema Riveres_ES
dc.subjectTurbidityes_ES
dc.subjectSedimentationes_ES
dc.subjectRemote sensinges_ES
dc.subjectSediment trap efficiencyes_ES
dc.subjectReservoires_ES
dc.subjectRiver sediment dischargees_ES
dc.subjectSuspended particulate matteres_ES
dc.subjectMODISes_ES
dc.subjectWater colores_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.05.00es_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.05.09es_ES
dc.titleIndirect assessment of sedimentation in hydropower dams using MODIS remote sensing imageses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Conde_2019.pdf
Size:
2.79 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Arbitrados