SciELO - Scientific Electronic Library Online

 
vol.23 número2Ethnopharmacology, bioactivity and phytochemistry of Maxillaria densa Lindl. Scientific review and Biotrading in the neotropicsDiversity and distribution of epiphyllous bryophytes in Beilschmiedia costaricensis (Mez & Pittier) C.K.Allen (Lauraceae) índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Colombia Forestal

versão impressa ISSN 0120-0739

Resumo

ANDRADES, Jesús et al. Methodological proposal for the construction and selection of digital high-precision elevation models. Colomb. for. [online]. 2020, vol.23, n.2, pp.34-46. ISSN 0120-0739.  https://doi.org/10.14483/2256201x.15155.

Digital Elevation Models improve accuracy in terrain analysis. This work compared different interpolation methods using statistical criteria in a topographic survey of 339 points raised with a total station in the “San Juan de Lagunillas” area (Venezuela). The existence of a signiftablaicant trend process with spatial autocorrelation modeled by an isotropic Gaussian semivariogram was documented. The kriging allowed to obtain residuals less than a minimum tolerable error equal to 0.1 m. The residual kriging was the best evaluated in cross validation with exclusion (absolute mean error of 0.71 m). The disjunctive kriging showed a lower error average but a wider error range and the highest mean absolute error (12.8 m). The other kriging showed mean error variance greater than 1.3 m and absolute minimum errors greater than 0.85 m. Due to the high dependence on the model specification form, graphics are recommended for a better fit.

Palavras-chave : DEM; geostatistics; interpolation method; semivariogram.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )