Elevation models for obtaining terrain attributes used in digital soil mapping

Authors

  • Helena Saraiva Koenow Pinheiro Universidade Federal Rural do Rio de Janeiro
  • César da Silva Chagas Embrapa Solos
  • Waldir de Carvalho Júnior Embrapa Solos
  • Lúcia Helena Cunha dos Anjos Universidade Federal Rural do Rio de Janeiro

DOI:

https://doi.org/10.1590/S1678-3921.pab2012.v47.11091

Keywords:

SRTM, terrain attribute, watersheds, soil survey, digital modelling

Abstract

The objective of this work was to evaluate digital elevation models (DEM) obtained by different data sources and to select one of them for deriving morphometric variables used in digital soil mapping. The work was performed in the Guapi‑Macacu river basin, RJ, Brazil. The primary data used in the models generated by interpolation (DEM map and DEM hybrid) were: contour lines, drainage, elevation points, and remote sensor data transformed into points. The obtained models by remote sensing and aero‑restitution (DEM SRTM and DEM IBGE) were used in the comparison. All models showed spatial resolution of 30 m. The elevation model evaluations were based on: the terrain derived attribute analysis (slope, aspect, and curvature); spurious depressions (sink); comparison between features derived from the models and the original ones originated from planialtimetric maps; and the analysis of derived watersheds. The DEM hybrid showed a superior quality than the other models.

Author Biographies

Helena Saraiva Koenow Pinheiro, Universidade Federal Rural do Rio de Janeiro

Engenheira Florestal (UFRRJ), Mestranda em Ciência do Solos (CPGA-CS, UFRRJ), com ênfase em Gênese,Morfologia, Classificação e Mapeamento de Solos.

César da Silva Chagas, Embrapa Solos

Published

2012-11-09

How to Cite

Pinheiro, H. S. K., Chagas, C. da S., Carvalho Júnior, W. de, & Anjos, L. H. C. dos. (2012). Elevation models for obtaining terrain attributes used in digital soil mapping. Pesquisa Agropecuaria Brasileira, 47(9), 1384–1394. https://doi.org/10.1590/S1678-3921.pab2012.v47.11091