A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models
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...
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| Format: | Article |
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MDPI AG
2021-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/11/2069 |
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| author | M. V. Alba-Fernández F. J. Ariza-López M. D. Jiménez-Gamero |
| author_facet | M. V. Alba-Fernández F. J. Ariza-López M. D. Jiménez-Gamero |
| author_sort | M. V. Alba-Fernández |
| collection | DOAJ |
| description | 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>×</mo><mn>2</mn></mrow></semantics></math></inline-formula> m DEM (reference) and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5</mn><mo>×</mo><mn>5</mn></mrow></semantics></math></inline-formula> m DEM in Allo (province of Navarra, Spain). |
| first_indexed | 2024-03-10T11:05:17Z |
| format | Article |
| id | doaj.art-4529d35eeaf14eeb9c7727f51b57de2f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:05:17Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4529d35eeaf14eeb9c7727f51b57de2f2023-11-21T21:10:44ZengMDPI AGRemote Sensing2072-42922021-05-011311206910.3390/rs13112069A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation ModelsM. V. Alba-Fernández0F. J. Ariza-López1M. D. Jiménez-Gamero2Department Statistic and O.R., University of Jaén, 23071 Jaén, SpainDepartment Cartography, Geodesy, and Photogrammetry Engineering, University of Jaén, 23071 Jaén, SpainDepartment Statistic and O.R., University of Sevilla, 41012 Sevilla, SpainThe 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>×</mo><mn>2</mn></mrow></semantics></math></inline-formula> m DEM (reference) and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5</mn><mo>×</mo><mn>5</mn></mrow></semantics></math></inline-formula> m DEM in Allo (province of Navarra, Spain).https://www.mdpi.com/2072-4292/13/11/2069digital elevation modelslopeorientationequivalence testHellinger distance |
| spellingShingle | M. V. Alba-Fernández F. J. Ariza-López M. D. Jiménez-Gamero A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models Remote Sensing digital elevation model slope orientation equivalence test Hellinger distance |
| title | A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models |
| title_full | A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models |
| title_fullStr | A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models |
| title_full_unstemmed | A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models |
| title_short | A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models |
| title_sort | new approach to the quality control of slope and aspect classes derived from digital elevation models |
| topic | digital elevation model slope orientation equivalence test Hellinger distance |
| url | https://www.mdpi.com/2072-4292/13/11/2069 |
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