Evaluation and comparison of deterministic and probabilistic interpolation methods for digital elevation model generation

Investigaciones Geográficas

卷:0

Sergio Bernardo Jiménez Hernández¹  Xicoténcatl Martínez Becerra²  Wilver Enrique Salinas Castillo³  Cutberto Uriel Paredes Hernández³ 

[1] Centro de Investigación y Desarrollo en Ingeniería Portuaria, Marítima y Costera, Facultad de Ingeniería “Arturo NarroSiller”, Universidad Autónoma de Tamaulipas, CIDIPORT-UAT Tampico, Tamaulipas, México.;

[2] GeoExpert S.C.;

[3] Instituto de Ingeniería y Ciencias, Facultad de Ingeniería y Ciencias, Universidad Autónoma de Tamaulipas;

关键词: Modelos Digitales de Elevación (MDE);    interpolación;    IDW;    ANUDEM;    kriging;   

DOI  :  10.14350/rig.35906

来源: DOAJ

【 摘 要 】

Digital elevation models (DEM) are the most common and effective representation of the land surface. Unfortunately, similarly to most digital geographic information, DEM inherently contain errors, which magnitude should be assessed and informed to DEM users. One factor that introduces errors in DEM is the interpolation method and several previous studies have presented findings that disagree among them regarding the suitability of several interpolation methods for DEM generation. With the aim of contributing to this discussion and of improving the understanding of errors introduced in DEM by interpolation methods, in this paper we evaluate and compare the accuracy of DEM generated using both deterministic (IDW, ANUDEM) and probabilistic (OK, KT) interpolation methods. Our results suggest that KT produces more accurate DEM than the other interpolation methods evaluated in this paper and that it produces DEM without systematic errors, which occur in DEM generated using IDW, ANUDEM and OK. These results are consistent with some previous studies, but at the same time disagree with other similar studies.

【 授权许可】

Unknown