dc.creator | Ojeda Zújar, José | es |
dc.date.accessioned | 2020-02-12T07:52:22Z | |
dc.date.available | 2020-02-12T07:52:22Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Ojeda Zújar, J. (2013). Assessment of different models for bathymetry calculation using SPOT multispectral images in a high-turbidity area: the mouth of the Guadiana Estuary. International Journal of Remote Sensing, 35 (2), 493-514. | |
dc.identifier.issn | 0143-1161 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92926 | |
dc.description.abstract | Periodic calculation of coastal bathymetries can show the evolution of geomorpholo-
gical features in active areas such as mesotidal estuary mouths. Bathymetries in
shallow coastal areas have been addressed mainly by two technologies, lidar and
optical remote sensing. Lidar provides good accuracy, but is an expensive technique,
requiring planned flights for each region and dates of interest. Optical remote sensing
acquires images periodically but its results are limited by water turbidity. Here we use
a lidar bathymetry to compare different bathymetry computation methods using a
SPOT optical image from a nearby date. Three statistical models (green-band, PCA
correlations, and GLM) were applied to obtain mathematical expressions to estimate
bathymetry from that image: all gave errors lower than 1 m in an area with depths
ranging from 0 to 6 m. These algorithms were then applied to images from three
different dates, correcting the effects caused by different tidal and atmospheric condi-
tions. We show how this allows the study of morphological changes. We discuss the
accuracy obtained with respect to the reference bathymetry (0.9 m on average, but less
than 0.5 m in low-turbidity areas), the effects of the turbidity on our estimations, and
compare both with previously published results. The results show that this approach is
effective and allows identification of known features of coastal dynamics, and thus it
would be an important step towards short-term bathymetry monitoring based on optical
satellite remote sensing. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación CSO2010-15807 | es |
dc.description.sponsorship | Consejería de Innovación, Ciencia y Empresa P10-RNM-6207 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Taylor & Francis | es |
dc.relation.ispartof | International Journal of Remote Sensing, 35 (2), 493-514. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Assessment of different models for bathymetry calculation using SPOT multispectral images in a high-turbidity area: the mouth of the Guadiana Estuary | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional | es |
dc.relation.projectID | CSO2010-15807 | es |
dc.relation.projectID | P10-RNM-6207 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1080/01431161.2013.871402 | es |
dc.identifier.doi | 10.1080/01431161.2013.871402 | es |
idus.format.extent | 22 p. | es |
dc.journaltitle | International Journal of Remote Sensing | es |
dc.publication.volumen | 35 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 493 | es |
dc.publication.endPage | 514 | es |