Research Article
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Usability of Spectral Indexes in the Discrimination and Temporal Monitoring of Open Dumping Sites

Year 2025, Volume: 12 Issue: 4, 336 - 343, 12.01.2026
https://doi.org/10.26650/ijegeo.1789358
https://izlik.org/JA47AK79HS

Abstract

Solid waste is stored professionally in landfills or in open areas using primitive methods. The latter is called open dumping and needs to be identified due to its environmental damage. Detection of these mostly illegal areas via satellite images is possible due to their specific reflectance properties. In this study, spectral index characteristics were determined for open dumping sites located in Ünye and Fatsa districts of Ordu province, Türkiye. Except for the detection index for open dumping sites, various spectral indexes related to vegetation, water and soil were derived from temporal Sentinel images. Open dumping sites of both districts were observed for three years. The trend of each index across open dumping sites, whose coverage varies over the years, was examined. Correlations between the indexes were also calculated for each year. The graphs and statistical results revealed the specific reflectance characteristics of open dumping sites. It was determined that these indexes could be used to identify illegally used open dumping sites in a detection-based practices. However, due to the highly similar reflection characteristics of the soil and road in some parts of the image, more effective determinations can be made with an approach that takes into account surface temperature properties and more complex indexes via the short-wave infrared band. Additionally, different entropy calculation approaches may allow for a more apparent distinction of storage areas.

References

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  • Bijeesh, T. V., & Narasimhamurthy, K. N. (2020). Surface water detection and delineation using remote sensing images: A review of methods and algorithms. Sustainable Water Resources Management, 6(4), 68.
  • Cadau, E.G.; Putignano, C.; Aurigemma, R.; Melchiorre, A.; Bosco, P.; Tesseri, A.; Battazza, F. SIMDEO: An Integrated System for Landfill Detection and Monitoring Using EO Data. In Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium—IGARSS, Melbourne, VIC, Australia, 21–26 July 2013; pp. 3305–3308.
  • Daoud, A.O., Elattar, H., Abdelatif, G., Morsy, K.M., Peters, R.W., & Mostafa, M.K. (2024). Implications of the COVID-19 pandemic on the management of municipal solid waste and medical waste: A comparative review of selected countries. Biomass, 4(2), 555–573.
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  • Du, Y., Fu, H., Liu, L., Feng, G., Wen, D., Peng, X., & Ding, H. (2021). Continued monitoring and modeling of Xingfeng solid waste landfill settlement, China, based on multiplatform SAR images. Remote Sensing, 13(16), 3286.
  • Fraternali, P., Morandini, L., & González, S. L. H. (2024). Solid waste detection, monitoring and mapping in remote sensing images: A survey. Waste Management, 189, 88-102.
  • Gibellini, F., Fraternali, P., Boracchi, G., Morandini, L., Martinoli, T., Diecidue, A., & Malegori, S. (2025). A deep learning pipeline for solid waste detection in remote sensing images. Waste Management Bulletin, 100246.
  • Hatamzadeh, V., Vahidi, S., Karimi, S., Afshinfar, A., & Nouri, P. (2023). Monitoring land changes using remote sensing methods and spatial information system in the area of Kahrizak Waste Disposal Center. J. Eng. Res. Rep, 25(1), 11-40.
  • Jakhar, R., Samek, L., & Styszko, K. (2023). A comprehensive study of the impact of waste fires on the environment and health. Sustainability, 15(19), 14241.
  • Karimi, N., & Ng, K. T. W. (2022). Mapping and prioritizing potential illegal dump sites using geographic information system network analysis and multiple remote sensing indices. Earth, 3(4), 1123-1137.
  • Mahmood, K., Iftikhar, W., & Faizi, F. (2023). Geospatial indices as an alternative for environmental impact assessment of dumped waste. Acta Geophysica, 71(1), 309-322.
  • McFeeters, S.K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432.
  • Olawade, D. B., Wada, O. Z., Ore, O. T., David-Olawade, A. C., Esan, D. T., Egbewole, B. I., & Ling, J. (2024). Trends of solid waste generation during COVID-19 pandemic: A review. Waste Management Bulletin, 1(4), 93-103.
  • Osra, F. A., Elbisy, M. S., Mosaıbah, H. A., Osra, K., Ciner, M. N., & Ozcan, H. K. (2024). Environmental impact assessment of a dumping site: A case study of Kakia dumping site. Sustainability, 16(10), 3882.
  • Papale, L. G., Guerrisi, G., De Santis, D., Schiavon, G., & Del Frate, F. (2023). Satellite data potentialities in solid waste landfill monitoring: Review and case studies. Sensors, 23(8), 3917.
  • Peula, F. J., Martín-Lara, M. Á., & Calero, M. (2023). Effect of COVID-19 pandemic on municipal solid waste generation: a case study in Granada city (Spain). Journal of Material Cycles and Waste Management, 25(4), 2543-2555.
  • Rouse, J.W., Haas, R.H., Schell, J.A., & Deering, D.W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In S.C. Freden, E.P. Mercanti, & M.A. Becker (Eds.), Third Earth Resources Technology Satellite-1 Symposium. Volume I: Technical Presentations (NASA SP-351, pp. 309–317). NASA.
  • Singh, E., Kumar, A., Mishra, R., & Kumar, S. (2022). Solid waste management during COVID-19 pandemic: Recovery techniques and responses. Chemosphere, 288, 132451.
  • Vanguri, R., Laneve, G., Cadau, E., Scifoni, S., & Luca, M. (2023). Assessing the impact of landfills on surrounding vegetation: A remote sensing analysis with Sentinel-2 and Landsat 8. Environmental Sciences Proceedings, 29(1), 21.
  • Xue, J., & Su, B. (2017). Significant remote sensing vegetation indices: A review of developments and applications. Journal of sensors, 2017(1), 1353691.
  • Yan, W. Y., Mahendrarajah, P., Shaker, A., Faisal, K., Luong, R., & Al-Ahmad, M. (2014). Analysis of multi-temporal landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites. Environmental monitoring and assessment, 186(12), 8161-8173.

Year 2025, Volume: 12 Issue: 4, 336 - 343, 12.01.2026
https://doi.org/10.26650/ijegeo.1789358
https://izlik.org/JA47AK79HS

Abstract

References

  • Ali, S.M., Pervaiz, A., Afzal, B., Hamid, N., & Yasmin, A. (2014). Open dumping of municipal solid waste and its hazardous impacts on soil and vegetation diversity at waste dumping sites of Islamabad city. Journal of King Saud University – Science, 26(1), 59–65.
  • Bijeesh, T. V., & Narasimhamurthy, K. N. (2020). Surface water detection and delineation using remote sensing images: A review of methods and algorithms. Sustainable Water Resources Management, 6(4), 68.
  • Cadau, E.G.; Putignano, C.; Aurigemma, R.; Melchiorre, A.; Bosco, P.; Tesseri, A.; Battazza, F. SIMDEO: An Integrated System for Landfill Detection and Monitoring Using EO Data. In Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium—IGARSS, Melbourne, VIC, Australia, 21–26 July 2013; pp. 3305–3308.
  • Daoud, A.O., Elattar, H., Abdelatif, G., Morsy, K.M., Peters, R.W., & Mostafa, M.K. (2024). Implications of the COVID-19 pandemic on the management of municipal solid waste and medical waste: A comparative review of selected countries. Biomass, 4(2), 555–573.
  • Devesa, M. R., & Brust, A. V. (2021). Mapping illegal waste dumping sites with neural-network classification of satellite imagery. arXiv preprint arXiv:2110.08599.
  • Du, Y., Fu, H., Liu, L., Feng, G., Wen, D., Peng, X., & Ding, H. (2021). Continued monitoring and modeling of Xingfeng solid waste landfill settlement, China, based on multiplatform SAR images. Remote Sensing, 13(16), 3286.
  • Fraternali, P., Morandini, L., & González, S. L. H. (2024). Solid waste detection, monitoring and mapping in remote sensing images: A survey. Waste Management, 189, 88-102.
  • Gibellini, F., Fraternali, P., Boracchi, G., Morandini, L., Martinoli, T., Diecidue, A., & Malegori, S. (2025). A deep learning pipeline for solid waste detection in remote sensing images. Waste Management Bulletin, 100246.
  • Hatamzadeh, V., Vahidi, S., Karimi, S., Afshinfar, A., & Nouri, P. (2023). Monitoring land changes using remote sensing methods and spatial information system in the area of Kahrizak Waste Disposal Center. J. Eng. Res. Rep, 25(1), 11-40.
  • Jakhar, R., Samek, L., & Styszko, K. (2023). A comprehensive study of the impact of waste fires on the environment and health. Sustainability, 15(19), 14241.
  • Karimi, N., & Ng, K. T. W. (2022). Mapping and prioritizing potential illegal dump sites using geographic information system network analysis and multiple remote sensing indices. Earth, 3(4), 1123-1137.
  • Mahmood, K., Iftikhar, W., & Faizi, F. (2023). Geospatial indices as an alternative for environmental impact assessment of dumped waste. Acta Geophysica, 71(1), 309-322.
  • McFeeters, S.K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432.
  • Olawade, D. B., Wada, O. Z., Ore, O. T., David-Olawade, A. C., Esan, D. T., Egbewole, B. I., & Ling, J. (2024). Trends of solid waste generation during COVID-19 pandemic: A review. Waste Management Bulletin, 1(4), 93-103.
  • Osra, F. A., Elbisy, M. S., Mosaıbah, H. A., Osra, K., Ciner, M. N., & Ozcan, H. K. (2024). Environmental impact assessment of a dumping site: A case study of Kakia dumping site. Sustainability, 16(10), 3882.
  • Papale, L. G., Guerrisi, G., De Santis, D., Schiavon, G., & Del Frate, F. (2023). Satellite data potentialities in solid waste landfill monitoring: Review and case studies. Sensors, 23(8), 3917.
  • Peula, F. J., Martín-Lara, M. Á., & Calero, M. (2023). Effect of COVID-19 pandemic on municipal solid waste generation: a case study in Granada city (Spain). Journal of Material Cycles and Waste Management, 25(4), 2543-2555.
  • Rouse, J.W., Haas, R.H., Schell, J.A., & Deering, D.W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In S.C. Freden, E.P. Mercanti, & M.A. Becker (Eds.), Third Earth Resources Technology Satellite-1 Symposium. Volume I: Technical Presentations (NASA SP-351, pp. 309–317). NASA.
  • Singh, E., Kumar, A., Mishra, R., & Kumar, S. (2022). Solid waste management during COVID-19 pandemic: Recovery techniques and responses. Chemosphere, 288, 132451.
  • Vanguri, R., Laneve, G., Cadau, E., Scifoni, S., & Luca, M. (2023). Assessing the impact of landfills on surrounding vegetation: A remote sensing analysis with Sentinel-2 and Landsat 8. Environmental Sciences Proceedings, 29(1), 21.
  • Xue, J., & Su, B. (2017). Significant remote sensing vegetation indices: A review of developments and applications. Journal of sensors, 2017(1), 1353691.
  • Yan, W. Y., Mahendrarajah, P., Shaker, A., Faisal, K., Luong, R., & Al-Ahmad, M. (2014). Analysis of multi-temporal landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites. Environmental monitoring and assessment, 186(12), 8161-8173.
There are 22 citations in total.

Details

Primary Language English
Subjects Photogrammetry and Remote Sensing
Journal Section Research Article
Authors

Abdullah Harun İncekara 0000-0001-9166-7537

Submission Date September 22, 2025
Acceptance Date November 19, 2025
Publication Date January 12, 2026
DOI https://doi.org/10.26650/ijegeo.1789358
IZ https://izlik.org/JA47AK79HS
Published in Issue Year 2025 Volume: 12 Issue: 4

Cite

APA İncekara, A. H. (2026). Usability of Spectral Indexes in the Discrimination and Temporal Monitoring of Open Dumping Sites. International Journal of Environment and Geoinformatics, 12(4), 336-343. https://doi.org/10.26650/ijegeo.1789358