SciELO - Scientific Electronic Library Online

 
 número103Evaluación de calidad posicional basada en elementos linealesImplementación de procesos de control de calidad en la actualización de series cartográficas urbanas mediante combinación de CAD y SIG índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Revista cartográfica

versión On-line ISSN 2663-3981versión impresa ISSN 0080-2085

Resumen

ARIZA-LOPEZ, Francisco Javier  y  REINOSO-GORDO, Juan Francisco. Buffer methods for assessing the altimetric accuracy in digital terrain elevation models. Rev. cartogr. [online]. 2021, n.103, pp.33-45.  Epub 27-Sep-2021. ISSN 2663-3981.  https://doi.org/10.35424/rcarto.i103.975.

Traditionally, the altimetric accuracy assessment of digital elevation models (DEM) has been carried out using standards (e.g., National Standard for Spatial Data Accuracy) based on sampling of points in the reference model (S1) and in the model to be assessed (S2). These standards have two drawbacks: 1) the points are scarce compared to the total surface of a DEM and therefore they leave a large ground area not assessed, 2) the surface assessment is carried out comparing points, when it seems more suitable to assess by surfaces comparison. Both drawbacks can be overcome by surface buffer methods. This work presents for the first time in the altimetric assessment field the methods of single buffer (MOS) and double buffer (MOD) on surfaces. The study has been carried out on synthetic data. It has been proved that both methods allow the detection of outliers and biases when assessed S2. In addition, observed distribution functions can be elaborated, which eliminate the need to consider normality hypotheses about the discrepancies and allow applying some quality control techniques through tolerances.

Palabras llave : error; accuracy; uncertainty; buffer; digital elevation model; quality.

        · resumen en Español     · texto en Español     · Español ( pdf )