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dc.contributor.author
Casado, Ana Lia  
dc.contributor.author
Hortobagyi, Borbála  
dc.contributor.author
Roussel, Erwan  
dc.date.available
2019-12-05T18:04:56Z  
dc.date.issued
2018-09-05  
dc.identifier.citation
Casado, Ana Lia; Hortobagyi, Borbála; Roussel, Erwan; Historic reconstruction of reservoir topography using contour line interpolation and Structure from Motion photogrammetry; Taylor & Francis; International Journal Of Geographical Information Science; 32; 12; 5-9-2018; 2427-2446  
dc.identifier.issn
1365-8816  
dc.identifier.uri
http://hdl.handle.net/11336/91509  
dc.description.abstract
The geometry of impounded surfaces is a key tool to reservoir storage management and projection. Yet topographic data and bathymetric surveys of average-aged reservoirs may be absent for many regions worldwide. This paper examines the potential of contour line interpolation (TOPO) and Structure from Motion (SfM) photogrammetry to reconstruct the topography of existing reservoirs prior to dam closure. The study centres on the Paso de las Piedras reservoir, Argentina, and assesses the accuracy and reliability of TOPO- and SfM- derived digital elevation models (DEMs) using different grid resolutions. All DEMs were of acceptable quality. However, different interpolation techniques produced different types of error, which increased (or decreased) with increasing (or decreasing) grid resolution as a function of their nature, and relative to the terrain complexity. In terms of DEM reliability to reproduce area–elevation relationships, processing-related disagreements between DEMs were markedly influenced by topography. Even though they produce intrinsic errors, it is concluded that both TOPO and SfM techniques hold great potential to reconstruct the bathymetry of existing reservoirs. For areas exhibiting similar terrain complexity, the implementation of one or another technique will depend ultimately on the need for preserving accurate elevation (TOPO) or topographic detail (SfM).  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CONTOUR LINE INTERPOLATION  
dc.subject
STRUCTURE FROM MOTION PHOTOGRAMMETRY  
dc.subject
DEM ACCURACY  
dc.subject
DEM RELIABILITY  
dc.subject
PASO DE LAS PIEDRAS RESERVOIR  
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Historic reconstruction of reservoir topography using contour line interpolation and Structure from Motion photogrammetry  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-23T17:33:20Z  
dc.identifier.eissn
1362-3087  
dc.journal.volume
32  
dc.journal.number
12  
dc.journal.pagination
2427-2446  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Casado, Ana Lia. Universite Blaise Pascal; Francia. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Hortobagyi, Borbála. Université Clermont Auvergne; Francia. University of Newcastle; Reino Unido  
dc.description.fil
Fil: Roussel, Erwan. Universite Blaise Pascal; Francia  
dc.journal.title
International Journal Of Geographical Information Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/13658816.2018.1511795  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/13658816.2018.1511795