APPLICATION OF AERIAL AND ORBITAL SENSOR PHOTOGRAPHS TO IDENTIFY AND DELINEATE WATER BODIES

The application of orbital sensors to identify and delineate water bodies was evaluated in this study. Reference aerial photos were used to measure the surface area of three water bodies in São Gabriel do Oeste, MS, Brazil and assess seven sensors commonly used in environmental studies: ALOS-AVNIR,...

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Detalles Bibliográficos
Autores: Pereira, Luciana Escalante, Lastoria, Giancarlo, Almeida, Bruna Semler de, Haupenthal, Marcelo, Marcato Júnior, José, Lo, Edward Limin, Paranhos Filho, Antonio Conceição
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Institución:Universidade Federal do Paraná (UFPR)
Repositorio:Boletim de Ciências Geodésicas
Idioma:inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/56800
Acceso en línea:https://revistas.ufpr.br/bcg/article/view/56800
Access Level:acceso abierto
Palabra clave:Geotechnology
Aerial photos
Remote sensing
Descripción
Sumario:The application of orbital sensors to identify and delineate water bodies was evaluated in this study. Reference aerial photos were used to measure the surface area of three water bodies in São Gabriel do Oeste, MS, Brazil and assess seven sensors commonly used in environmental studies: ALOS-AVNIR, CBERS 2B-CCD, CBERS 2B-HRC, IRS P6-LISS3, LANDSAT-TM, LANDSAT-ETM+, and LANDSAT-OLI. The images were analyzed with the near infrared (NIR) band, and digital processing techniques including image fusion (spatial enhancement), false-color composition, and pre-processed radiometric correction were applied to some sensors. Image fusion and radiometric correction were applied to three sensors; only color composition was not conducted on the HRC sensor. In all water bodies analyzed, images from the CCD sensor showed the greatest values of imprecision, reaching 192% for Water Body #3 without digital processing. Considering the spectral properties of the NIR band, we expected more precise data from the analyses using this spectral range. However, color composite analyses obtained greater percentprecision compared with analyses that only used the NIR band