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

Authors

  • Luciana Escalante Pereira Universidade Federal de Mato Grosso do Sul
  • Giancarlo Lastoria Universidade Federal de Mato Grosso do Sul
  • Bruna Semler de Almeida Universidade Federal de Mato Grosso do Sul
  • Marcelo Haupenthal Universidade Federal de Mato Grosso do Sul
  • José Marcato Júnior Universidade Federal de Mato Grosso do Sul
  • Edward Limin Lo University of Kentucky
  • Antonio Conceição Paranhos Filho Universidade Federal de Mato Grosso do Sul

Keywords:

Geotechnology, Aerial photos, Remote sensing

Abstract

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 percent
precision compared with analyses that only used the NIR band

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Published

2017-12-08

How to Cite

Pereira, L. E., Lastoria, G., Almeida, B. S. de, Haupenthal, M., Marcato Júnior, J., Lo, E. L., & Paranhos Filho, A. C. (2017). APPLICATION OF AERIAL AND ORBITAL SENSOR PHOTOGRAPHS TO IDENTIFY AND DELINEATE WATER BODIES. Bulletin of Geodetic Sciences, 23(4). Retrieved from https://revistas.ufpr.br/bcg/article/view/56800

Issue

Vol. 23 No. 4 (2017)

Section

Article

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