Altimetric accuracy analysis for ALOS PALSAR and ASTER GDEM data for the municipality of Recife-PE
Geomorphological modeling of the Earth's surface has benefited from the improvement of geotechnologies, such as the Digital Elevation Model (DEM) derived from remote sensing because it provides the availability of altimetric information with global coverage. However, such advantages are express...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Universidade Tecnológica Federal do Paraná (UTFPR) |
| Repositorio: | Revista Brasileira de Geomática |
| Idioma: | portugués |
| OAI Identifier: | oai:periodicos.utfpr:article/14969 |
| Acceso en línea: | https://periodicos.utfpr.edu.br/rbgeo/article/view/14969 |
| Access Level: | acceso abierto |
| Palabra clave: | Sensoriamento Remoto, Cartografia, Geofísica SAR; Superfície; Modelo Digital de Elevação Digital Elevation Model; PEC-PCD; Remote Sensors; Recife |
| Sumario: | Geomorphological modeling of the Earth's surface has benefited from the improvement of geotechnologies, such as the Digital Elevation Model (DEM) derived from remote sensing because it provides the availability of altimetric information with global coverage. However, such advantages are expressed by the degree of data quality. The objective of this study was to analyze the altimetric accuracy of the SDMs derived from ALOS PALSAR (RTC) and ASTER (GDEM) Version 3 sensors for land use mapping of the Recife-PE municipality, through the Cartographic Accuracy Standard for Digital Products (PEC-PCD), at scales of 1:250,000; 1:50,000 and 1:100,000. The methodology consisted in analyzing the discrepancies between the MDEs and the orthometric altitudes provided by reference points of the Brazilian Geodetic System. The data were tested by means of RMSE and linear regressions based on R² and RMS. As a result, ALOS PALSAR presented lower RMSE and standard deviation values, indicating that it presents higher accuracy than ASTER. Urban areas showed average discrepancy ranges between 0.1 and 3 m for ALOS PALSAR data while ASTER was between 6 and 8 m, but in areas of dense vegetation, both sensors showed discrepancies above 10 m. |
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