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Editor in Chief: RAFFAELLO COSSU

VISUAL INTERPRETATION OF SATELLITE AND AERIAL IMAGES TO IDENTIFY AND STUDY THE EVOLUTION OF INADEQUATE URBAN WASTE DISPOSAL SITES

  • Camila Camolesi Guimarães - Institute for Technological Research, Brazil
  • Alexandre Muselli Barbosa - Institute for Technological Research, Brazil - Department of Chemical Engineering, University of São Paulo, Brazil
  • Gandolfo Otávio Coaracy Brasil - Institute for Technological Research, Brazil

DOI 10.31025/2611-4135/2019.13821

Released under CC BY-NC-ND

Copyright: © 2019 CISA Publisher

Editorial History

  • Received: 22 Jan 2019
  • Revised: 20 May 2019
  • Accepted: 27 May 2019
  • Available online: 28 Jun 2019

Abstract

One of the main problems Brazil faces in solid waste management is the existence of dumpsites that must be closed. For the shutdown process, an environmental assessment should be performed, which requires knowledge of the history of these sites. This study is often hampered by the lack of past records on the waste disposal activities in these places, especially when they are very old. In this context, the analysis of multitemporal remote sensing images and aerial photographs is an interesting tool for the identification and study of the development of inadequate waste disposal sites. In the present study, these techniques were used to assess former dumps in four municipalities in the state of São Paulo, Brazil. The analysis comprised satellite images and aerial photographs between 1960 and 2010. They enabled the obtainment of information on the progress of activities in the dumps and their surroundings, on how the waste disposal occurred, and on the end of operations and the revegetation process. With geographic information system (GIS) support, information from different data sources was crossed with previous databases, thus allowing the obtainment of greater data structure for a better interpretation of the available information. Thus, the interpretation of multitemporal remote sensing images and aerial photographs allowed a better interpretation of the posterior environmental assessment data through the knowledge of the context in which these were inserted.

Keywords


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