an official journal of: published by:
Editor in Chief: RAFFAELLO COSSU


  • 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


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.



ABRELPE, Associação Brasileira de Empresas de Limpeza Pública e Resíduos Especiais (2018). Panorama dos Resíduos Sólidos no Brasil 2017. São Paulo. 73 p

Al-Joburi, K. I. (2018). Mapping Bahrain’s subsurface municipal solid waste. Arabian Journal of Geosciences, 11(6), 1–14.
DOI 10.1007/s12517-018-3456-z

André Luiz Nascentes Coelho. (2017). Geotecnologias Aplicadas na Distribuição Espacial dos Aterros da Cidade de Vitória / ES. Caderno de Geografia, 27(51), 760–775.
DOI 10.5752/p.2318-2962.2017v27n51p760

Carrilho, A. N., Candido, H. G., & Souza, A. D. (2018). Geoprocessing used in the selection of areas for deployment of landfill in the municipality of Conceição das Alagoas (MG), Brazil. Engenharia Sanitária e Ambiental, 23(1), 201–206.
DOI 10.1590/s1413-41522018142980

CETESB, Companhia Ambiental do Estado de São Paulo (2001). Manual de Gerenciamento de Áreas Contaminadas. São Paulo. 389 p

CETESB, Companhia Ambiental do Estado de São Paulo (2018). Inventário Estadual de Resíduos Sólidos Urbanos. Série Relatório / Secretaria do Estado do Meio Ambiente. São Paulo. 120 p

Costa, J. N. M. N. da, & Durigan, G. (2010). Leucaena leucocephala. Revista Árvore, 34, 825–833

Erb, T. L., Philipson, W. R., Teng, W. L., & Liang, T. (1981). Analysis of landfills with historic airphotos. Photogrammetric Engineering and Remote Sensing, 47(9), 1363–1369

Garofalo, D., & Wobber, F. J. (1974). Solid waste and remote sensing. Photogrammetric Engineering, 40(March), 45–59.
DOI 10.1016/j.aca.2008.07.014

Getz, T. J., Randolph, J. C., & Echelberger, W. F. (1983). Environmental application of aerial reconnaissance to search for open dumps. Environmental Management, 7(6), 553–562.
DOI 10.1007/BF01871355

Glanville, K., & Chang, H. C. (2015). Mapping illegal domestic waste disposal potential to support waste management efforts in Queensland, Australia. International Journal of Geographical Information Science, 29(6), 1042–1058

Irvine, J. M., Evers, T. K., Smyre, J. L., Huff, D., King, A. L., Stahl, G., & Odenweller, J. (1997). The detection and mapping of buried waste. International Journal of Remote Sensing, 18(7), 1583–1595.
DOI 10.1080/014311697218296

Kuehn, F., & Hoerig, B. (2000). Remote Sensing for Site Characterization: methods in environmental geology. (F. Kuehn, T. V. V. King, B. Hoerig, & D. C. Peters, Eds.)

Lyon, J. G. (1987). Use of maps, aerial photographs, and other remote sensor data for practical evaluations of hazardous waste sites. Photo. Eng. Remote Sens., 53(5), 515–519

Massarelli, C. (2018). Fast detection of significantly transformed areas due to illegal waste burial with a procedure applicable to landsat images. International Journal of Remote Sensing, 39(3), 754–769.
DOI 10.1080/01431161.2017.1390272

Samizava, T. M., Kaida, R. H., Imai, N. N., Osvaldo, J., & Nunes, R. (2008). GIS applied to the choice of potential areas for landfill installation of the Presidente Prudente county – SP. Revista Brasileira de Cartografia, 60(1), 43–55

Silvestri, S., & Omri, M. (2008). A method for the remote sensing identification of uncontrolled landfills: Formulation and validation. International Journal of Remote Sensing, 29(4), 975–989.
DOI 10.1080/01431160701311317