Show simple item record 2019-05-09T13:23:50Z 2019-05-09T13:23:50Z
dc.title Analysis and Correction of Digital Elevation Models for Plain Areas en
dc.type Artículo es
dcterms.abstract Water movement modeling in plain areas requires digital elevation models (DEMs) adequately representing the morphological and geomorphological land patterns including the presence of civil structures that could affect water flow patterns. This has a direct effect on water accumulation and water flow direction. The objectives of this work were to analyze, compare and improve DEMs so surface water movement in plain areas could be predicted. In order to do that, we evaluated the accuracy of a digital elevation data set consisting in 4064 points measured with a differential global positioning system (GPS) in a plain area of central Buenos Aires province. Three DEMs were analyzed: (1) the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), (2) the Shuttle Radar Topography Mission (SRTM) and (3) the Advanced Land Observing Satellite with the Phased Array Type L-Band Synthetic Aperture Radar (ALOS PALSAR). Several topographic attributes (i.e., height, surface area, land slope, delimitation of geomorphological units, civil structures, basin boundaries and streams network) and different interpolation methods were analyzed. The results showed that both the SRTM and the ALOS PALSAR DEMs had a ± 4.4 m root mean square error (RMSE) in contrast to the ASTER DEM which had a ± 9 m RMSE. Our analysis proved that the best DEM representing the study area is the SRTM. The most suitable interpolation methods applied to the SRTM were the inverse distance weighting and the ANUDEM, whereas the spline method displayed the lowest vertical accuracy. With the proposed method we obtained a DEM for the study area with a ± 3.2 m RMSE, a 33% error reduction compared to the raw DEM en
dcterms.extent 12 p. es
dcterms.issued 2019-03-01
dcterms.language Inglés es
dcterms.license Attribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0) es
dcterms.subject DEM en
dcterms.subject Modelos digitales de elevación del terreno es
dcterms.subject Cuenca del arroyo del Azul es
cic.version info:eu-repo/semantics/acceptedVersion es Guevara Ochoa, Cristian es Vives, Luis es Zimmermann, Erik es Masson, Ignacio es Fajardo González, Luisa Fernanda es Scioli, Carlos es
cic.lugarDesarrollo Consejo Nacional de Investigaciones Científicas y Técnicas es
cic.lugarDesarrollo Centro Universitario Rosario de Investigaciones Hidroambientales es
cic.lugarDesarrollo Comisión de Investigaciones Científicas de la provincia de Buenos Aires es
cic.lugarDesarrollo Universidad Nacional del Litoral es
dcterms.subject.materia Oceanografía, Hidrología, Recursos Hídricos es
dcterms.identifier.other doi:10.14358/PERS.85.3.209 es
dcterms.isPartOf.issue vol. 85, no. 3 es
dcterms.isPartOf.series Photogrammetric Engineering and Remote Sensing es
cic.isPeerReviewed true es
cic.isFulltext true es
cic.institucionOrigen Instituto de Hidrología de Llanuras es


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