Use of High Resolution Images on the Aerodrome Protection Zones Mapping and Managing
The disordered growth of large cities makes problems on urban infrastructure reaching the airports neighborhoods, asobstacles that affect the safety of aircrafts, passengers and people living in these places. In addition to airport safety,the intense human movement along the Airports Obstacle Limita...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | Brasil |
| Institución: | Universidade Federal de Uberlândia (UFU) |
| Repositorio: | Revista brasileira de cartografia - RBC (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.seer.ufu.br:article/49214 |
| Acceso en línea: | https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/49214 |
| Access Level: | acceso abierto |
| Palabra clave: | proteção de aeroportos controle de obstáculos sensoriamento remoto airport protection obstacles control remote sensing |
| Sumario: | The disordered growth of large cities makes problems on urban infrastructure reaching the airports neighborhoods, asobstacles that affect the safety of aircrafts, passengers and people living in these places. In addition to airport safety,the intense human movement along the Airports Obstacle Limitation Surfaces, affects the necessary socio-economicdevelopment of the region. The standardization of aeronautical operations in the World making them more safety, led tothe International CivilAviation Organization (ICAO) to publish normative documents regulating aviation activities. Themeasures and surveys of obstacles must have high accuracy and are usually performed with classical topographicmethods requiring high costs. The use of high resolution images (pixel equal or less than 1 m) is presented as analternative to solve the problem of managing obstacles, that provides the necessary accuracy, in a lowest time, andproviding more efficiency also to the continuous monitoring of areas of irregular deployments around airports. In thispaper two IKONOS II images, dated 2001 and 2008 were used to survey the occupation of the a area surrounding theSalgado Filho Airport in Porto Alegre, Rio Grande do Sul. The proposed methodology evaluated the efficiency of theseimages to the understanding of the Aerodrome Protection Zones, its relationship with the surrounding urban areas, thelocation and the identification of obstacles. This study showed that high-resolution images are effective for analyzingthe obstacles with an estimated error of 2,66 m in the coordinates of the orthorectified image. This parameter is considered tolerable for the most of obstacles limit surfaces. |
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