Artículo
A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models
Autor/es | Alba Fernández, María Virtudes
Ariza López, F.J. Jiménez Gamero, María Dolores |
Departamento | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa |
Fecha de publicación | 2021-05-24 |
Fecha de depósito | 2021-06-21 |
Publicado en |
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Resumen | The usefulness of the parameters (e.g., slope, aspect) derived from a Digital Elevation Model (DEM) is limited by its accuracy. In this paper, a thematic-like quality control (class-based) of aspect and slope classes is ... The usefulness of the parameters (e.g., slope, aspect) derived from a Digital Elevation Model (DEM) is limited by its accuracy. In this paper, a thematic-like quality control (class-based) of aspect and slope classes is proposed. A product can be compared against a reference dataset, which provides the quality requirements to be achieved, by comparing the product proportions of each class with those of the reference set. If a distance between the product proportions and the reference proportions is smaller than a small enough positive tolerance, which is fixed by the user, it will be considered that the degree of similarity between the product and the reference set is acceptable, and hence that its quality meets the requirements. A formal statistical procedure, based on a hypothesis test, is developed and its performance is analyzed using simulated data. It uses the Hellinger distance between the proportions. The application to the slope and aspect is illustrated using data derived from a 2×2 m DEM (reference) and 5×5 m DEM in Allo (province of Navarra, Spain). |
Cita | Alba Fernández, M.V., Ariza López, F.J. y Jiménez Gamero, M.D. (2021). A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models. Remote Sensing, 13 (11), 2069-1-2069-14. |
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remotesensing-13-02069-v3.pdf | 20.34Mb | [PDF] | Ver/ | |