Remote sensing applied to environmental sustainability and its relationship with the SDGs for solid waste management: a review
DOI:
https://doi.org/10.11606/eISSN.2236-2878.rdg.2024.217530Keywords:
Monitoring, Urban planning, ManagementAbstract
The understanding of human interaction with the territory is evidence by the potential impacts generated on the environment. This corroborates the modification of the urban layout, while at the same time waste and local pollution become evident. This article presents a systematic review of the subject, identifying the main trends in remote sensing (RS) with regard to urban solid waste (MSW) management and its influence on the Sustainable Development Goals (SDGs), exploring the main existing gaps and indicating directions for future studies. The methodology was based on a quantitative approach of an exploratory nature, based on the Theory of the Meta-Analytical Approach (TEMAC), comprising three distinct stages (preparation; presentation and interrelationship; and detailing/validation), thus guiding data collection and analysis. The study shows that RS can play a significant role in monitoring risks while making it possible to highlight environmental degradation, helping to draw up a spatial overview of these problems. This type of data, in turn, can be used to implement future solutions aimed at mitigating this damage. In addition, the relationship established between the RS and the SDGs is demonstrated in 25.96% of the indicators, emphasizing a huge field still to be explored through geoprocessing techniques. Thus, this article brings to light a vision of the importance of SR in the sustainable management of MSW, contributing to the development of solutions and strategies in line with the SDGs.
Downloads
References
ABRELPE. Associação Brasileira de Empresas de Limpeza Pública e Resíduos Especiais. Panorama dos Resíduos Sólidos no Brasil, p. 1-64, 2022.
BALHA, A.; VISHWAKARMA, B. D.; PANDEY, S.; SINGH, C. K. Predicting impact of urbanization on water resources in megacity Delhi. Remote Sensing Applications-Society and Environment, v. 20, p. 1-12, 2019. https://doi.org/10.1016/j.rsase.2020.100361.
BRASIL. Lei n° 12.305, de 9 de agosto de 2010. Política Nacional de Resíduos Sólidos, 2010.
CAU/SC. Conselho de Arquitetura e Urbanismo de Santa Catarina. Fundamentos Para as Cidades 2030 – Planos Diretores Participativos e Objetivos de Desenvolvimento Sustentável. Disponível em: https://www.courb.org/wp-content/uploads/2020/06/manual-fundamentos-cidades-2030.pdf. Acesso em: 04 jul. 2023.
CHEN, Q.; CHENG, Q.; WANG, J.; DU, M.; ZHOU, L., LIU, Y. Identification and Evaluation of Urban Construction Waste with VHR Remote Sensing Using Multi-Feature Analysis and a Hierarchical Segmentation Method. Remote Sensing, v. 13, p. 1-32, 2021.
https://doi.org/10.3390/rs13010158.
CHEN, Q. LI, Y. Y.; JIA, Z. Y. ; CHENG, Q. H. 3D Change Detection of Urban Construction Waste Accumulations Using Unmanned Aerial Vehicle Photogrammetry. Sensors and Materials, v. 33, p. 4521-4543, 2021. https://doi.org/10.18494/SAM.2021.3447.
ESPOSITO, G.; MATANO, F., SACCHI, M. Detection and Geometrical Characterization of a Buried Landsfill Site by Integrating Land Use Historical Analysis, Digital Photogrammetry and Airbone Lidar Data. Geosciences, v. 8, p. 1-14, 2018. https://doi.org/10.3390/geosciences8090348.
FEITOSA, F. E. C. S.; SILVA, F. B.; BELO, R. C. R.; SANTOS, J. R. N.; ARAÚJO, M. L. S.; SANTOS, J. S. Sensoriamento Remoto no Planejamento de Projetos de Energia Fotovoltáica no Estado do Maranhão. VI Congresso Brasileiro de Energia Solar, Belo Horizonte, 04 a 07 de abril de 2016. https://doi.org/10.59627/cbens.2016.1805.
GAUTAM, S.; BREMA, J.; DHASARATHAN, R. Spation-Temporal Estimates of Solid Waste Disposal in an Urban City of India: A Remote Sensing and GIS Approach. Environmental Technology & Innovation, v. 16, p. 1-12, 2020. https://doi.org/10.1016/j.eti.2020.100650.
GUIMARÃES, C. C.; BARBOSA, A. M.; GANDOLFO, O. C. B. Visual Interpretation of Satellite and Aerial Images to Identify and Study the Evolution of Inadequate Urban Waste Disposal Sites. Detritus, v. 6, p. 85-95, 2019. https://doi.org/10.31025/2611-4135/2019.13821.
GUO, Q. M.; ZHAN, L. T.; SHEN, Y. Y.; WU, L. B.; CHEN, Y. M. Classification and Quantification of Excavated Soil and Construction Sludge: A Case Study in Wenzhou, China. Frontiers of Structural and Civil Engineering, v. 16, p. 202-213, 2022. https://doi.org/10.1007/s11709-021-0795-8.
HOLSTEIN, A.; KAPPAS, M.; PROPASTIN, P.; RENCHIN, T. Oil spill detection in the Kazakhstan sector of the Caspian Sea with the help of ENVISAT ASAR data. Environmental Earth Science, v. 77, p.1-11, 2018. https://doi.org/10.1007/s12665-018-7347-0.
KAMANINA, I. Z.; BADAWY, V. W.; KAPLINA, S. P.; MAKAROV, O. A.; Mamikhin, S. V. Assessment of Soil Potentially Toxic Metal Pollution in Kolchugino Town, Russia: Characteristics and Pollution. LAND, v. 12, p. 1-16, 2023. https://doi.org/10.3390/land12020439.
KARABULUT, A. I.; YAZICI-KARABULUT, B.; DERIN, P.; YESILNACAR, M. I.; CULLU, M. A. Landfill siting for municipal solid waste using remote sensing and geographic information system integrated analytic hierarchy process and simple additive weighting methods from the point of view of a fast-growing metropolitan area in GAP of Turkey. Environmental Science and Pollution Research, v. 29, p. 4044-4061, 2021. https://doi.org/10.1007/s11356-021-15951-7.
LANGA, C.; HARA, J.; WANG, J. J.; NAKAMURA, K.; WATANABE, N.; KOMAI, T. Dynamic Evaluation Method for Planning Sustainable Landfills Using GIS and Multi-Criteria in Areas of Urban Sprawl with Land-Use Conflicts. Plos One, v. 16, p. 1-17, 2022.
https://doi.org/10.1371/journal.pone.0254441.
LI, H.; HU, C.; ZHONG, X.; ZENG, C., SHEN, H. Solid Waste Detection in Cities Using Remote Sensing Imagery Based on a Location-Guided Key Point Network with Multiple Enhancements. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 16, p. 191-201, 2023. https://doi.org/10.1109/JSTARS.2022.3224555.
LIANG, H. W.; LI, N.; HAN, J.; BIAN, X.; XIA, H. X.; DONG, L. Investigating the Temporal and Spatial Dynamics of Human Development Index: A Comparative Study on Countries and Regions in the Eastern Hemisphere from the Perspective of Evolution. Remote Sensing, v. 13, p. 1-22, 2021. https://doi.org/10.3390/rs13122415.
LIU, B.; TANG, J.; YUNKE, Q.; YANG, Y.; LYU, H.; DAI, Y. D.; LI, Z. Y. A GIS-Based Method for Identification of Blindness in Former Site Selection of Sewage Treatment Plants and Exploration of Optimal Siting Areas: A Case Study in Liao River Basin. Water, v. 14, p. 1-18, 2022. https://doi.org/10.3390/w14071092.
MARIANO, A. M.; SANTOS, M. R. Revisão da Literatura: Apresentação de Abordagem Integradora. AEDM International Conference – Economy, Business and Uncertainty: Ideas for a European and Mediterranean Industrial Policy, Reggio di Calabria, Itália, 2017.
MIAO, S.; LIU, C.; QIAN, B. J.; MIAO, Q. Remote sensing-based water quality assessment for urban rivers: a study in linyi development area. Environmental Science and Pollution Research, v. 27, p. 34586-34595, 2020. https://doi.org/10.1007/s11356-018-4038-z.
PINHEIRO, M. L. R.; VIEIRA, R. S. O desenvolvimento sustentável mp cp,bate à pobreza e à exclusão social. Justiça do Direito, v. 32, p. 301-317, 2018. http://dx.doi.org/10.5335/rjd.v32i2.6973.
PEREIRA, I.; ALCALDE-APARICIO, S.; FERRER-JULIÀ, M.; CARREÑO, M. F.; GARCÍA-MELÉNDEZ, E. Monitoring sedimentary areas from mine waste products with Sentinel-2 satellite images: A case study in the SE of Spain. Soil Science, v. 74, p. 1-21, 2023. https://doi.org/10.1111/ejss.13336.
RUDORFF, B. F. T.; MOREIRA, M. A. Sensoriamento Remoto Aplicado à Agricultura. Instituto Nacional de Pesquisas Espaciais (INPE), v. 9, p. 1-19, 2002.
SADDIQI, M. M.; ZHAO, W.; COTTERILL, S.; DERELI, R. K. Smart management of combined sewer overflows: From an ancient technology to artificial intelligence. Wires Water, v. 10, p. 1-33, 2023. https://doi.org/10.1002/wat2.1635.
SANCHES, P. M. A.; CAMPOS, J. A. D. B. Geoprocessamento como ferramenta de Saúde no Brasil. Revista UNINGÁ, v. 26, p. 189-197, 2010. https://doi.org/10.46311/2318-0579.26.eUJ920.
SANTOS, G. V.; QUADROS, R. Capacidades dinâmicas para a transformação digital: uma análise bibliométrica exploratória com VOSviewer. Revista de Gestão e Secretariado – GeSec, v15, n 7, p. 01-36, 2024. https://doi.org/10.7769/gesec.v15i7.3970.
SAKTI, A. D.; RINASTI, A. N.; ELPRIDA, A.; DIASTOMO, H.; FICKRIE, M.; ANNA, Z.; WIKANTIKA, K. Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data. International Journal of Geo-Information, v. 10, p. 1-23, 2021. https://doi.org/10.3390/ijgi10070481.
SLONECKER, E. T. The Use of Historical Imagery in the Remediation of an Urban Hazardous Waste Site. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 4, p. 281-291, 2011. https://doi.org/10.1109/JSTARS.2010.2049254.
SON, N. T.; TRANG, N. T. T.; BUI, X. T.; DA, C. T. Remote sensing and GIS for urbanization and flood risk assessment in Phnom Penh, Cambodia. Geocarto International, v. 37, p. 6625-6642, 2022. https://doi.org/10.1080/10106049.2021.1941307.
SONG, Y.; WU, P. Earth Observation for Sustainable Infrastructure: A Review. Remote Sensing, v. 13, p. 1-20, 2021. https://doi.org/10.3390/rs13081528.
SOUSA, C. A. F.; SILVEIRA, J. A. R; SANTOS, C. A. G.; SILVA, R. M. A methodological proposal to analyze urban sprawl, negative environmental impacts, and land degradation in the case of João Pessoa City (Brazil) between 1991 and 2018. Environ Monit Assess, v. 195, p. 1-24, 2023. https://doi.org/10.1007/s10661-023-11325-3.
STANKOVIC, M.; HASANBEIGI, A.; NEFTENOV, N.; VENTURES, T.I. Uso de tecnologias da 4RI em água e saneamento na América Latina e no Caribe. BID – Banco Internacional de Desenvolvimento, p. 1-67, 2020. https://doi.org/10.18235/0002343.
TORRES, R. N.; FRATERNALI, P. Learning to Identify Illegal Landsfills through Scene Classification in Aerial Images. Remote Sensing, v. 13, p. 1-21, 2021. https://doi.org/10.3390/rs13224520.
VIEIRA, R. R. T.; GARCIA, L. P.; SOUZA, A. D.; SANTOS, E. F. Geotecnologias e o monitoramento dos Objetivos de Desenvolvimento Sustentável pelas Entidades de Fiscalização Superior. Revista do TCU, v. 137, p. 42-51, 2016.
XAVIER, R. B. S. Avaliação de Estimativas Populacionais com Dados de Luz Noturna VIIRS DNB. Trabalho de Conclusão de Curso – Universidade Federal de São Carlos (UFSCAR), São Carlos, 2022.
XIA, H.; CHEN, Y.; QUAN, J. A simple method based on the thermal anomaly index to detect industrial heat sources. In J Appl Earth Obs Geoinformation, v. 73, p. 627-637, 2018. https://doi.org/10.1016/j.jag.2018.08.003.
XIONG, Y. Z., HUANG, S. P.; CHEN, F.; YE, H.; WANG, C. P.; ZHU, C. B. The Impacts of Rapid Urbanization on the Thermal Environment: A Remote Sensing Study of Guangzhou, South China. Remote Sensing, v. 4, p. 2033-2056, 2012. https://doi.org/10.3390/rs4072033.
XU, L. X.; SUN, T. H.; WU, W. H.; ZOU, K.; HE, S. J.; ZHAO, Y. M.; YE, M.; ZHANG, X. H. Research on Classification of Construction Waste Based on UAV Hyperspectral Image. Spectroscopy and Spectral Analysis, v. 42, p. 3927-3934, 2022. https://doi.org/10.3964/j.issn.1000-0593(2022)12-3927-08.
ZHANG, F. L.; DU, S. H.; GUO, Z. Extracting Municipal Solid Waste Dumps Based on High Resolution Images. Spectroscopy and Spectral Analysis, v. 33, p. 2024-2030, 2013. https://doi.org/10.3964/j.issn.1000-0593(2013)08-2024-07.
ZHANG, C. Q.; ZHOU, L.; DU, M. Y.; YANG, K.; LUO, T. A Cross-Channel Multi-Scale Gated Fusion Network for Recognizing Construction and Demolition Waste from High-Resolution Remote Sensing Images. International Journal of Remote Sensing, v. 43, p. 4541-4568, 2022.
https://doi.org/10.1080/01431161.2022.2115864.
Wang, L.Y.; Fan, H.; Wang, Y. K. An estimation of housing vacancy rate using NPP-VIIRS night-time light data and Open Street Map data. International Journal of Remote Sensing, v. 40, p. 8566-8588, 2019. https://doi.org/10.1080/01431161.2019.1615655.
WANG, K.; QIAN, J. X.; HE, S. J. Global destruction Networks and Hybrid E-Waste Economies: Practices and Embeddedness in Guiyu, China. Environment and Planning A-Economy and Space, v. 54, p. 533-553, 2022. https://doi.org/10.1177/0308518X211061748.
WANG, N. XU, D.; XUE, J.; ZHANG, X.; HONG, Y.; PENG, J.; LI, H.; MOUAZEN, A. M.; HE, Y.; SHI, Z. Delineation and optimization of cotton farmland management zone based on time series of soil-crop properties at lands scape scale in Xinjiang, China. Soil & Tillage Research, p. 1-17, 2023. https://doi.org/10.1016/j.still.2023.105744.
YANG, B.; HAWTHORNE, T. L.; AOKI, L.; BEATTY, D. S.; COPELAND, T.; DOMKE, L. K.; ECKERT, G. L.; GOMES, C. P.; GRAHAM, O. J.; HARVELL, C. D.; HOVEL, K. A.; HESSING-LEWIS, M.; HARPER, L.; MUELLER, R. S.; RAPPAZZO, B.; RESHITNYK, L.; STACHOWICZ, J. J.; TOMAS, F.; DUFFY, J. E. Low-Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease from Alaska to California. Geophysical Research Letters, v. 50, p. 1-11, 2023. https://doi.org/10.1029/2022GL101985.
YUAN, Q.; SHAFRI, H. Z. M. Multi-Modal Feature Fusion Network with Adaptive Center Point Detector for Building Instance Extraction. Remote Sensing, v. 14, p.1-23, 2022. https://doi.org/10.3390/rs14194920.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Joara de Oliveira Cardoso Pimentel, Jiam Pire Frigo

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Autores que publicam nesta revista concordam com os seguintes termos:
- Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution BY-NC-SA que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
- Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista. A licença adotada enquadra-se no padrão CC-BY-NC-SA.
- Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).