Quality Assessment of Digital Terrain Model

Digital Object Identifier 10.32754/JMT.2019.2.08 47 1Abstract—The paper presents a study realized for a better understanding of the quality of a digital terrain model; The possibility of modeling the spatial distribution of errors and the land-error relationship are analyzed. A modality of modeling is proposed in the form of a regression equation whose variables are represented by certain parameters hereinafter referred to as field parameters. By applying this regression model, the regression coefficients corresponding to each parameter are obtained, and with these coefficients a regression equation is obtained which can be used to generate an error surface. The quality of this error surface can be evaluated using statistical moments, minimum, maximum error, average error and standard deviation.