The use of geotechnology in environmental education and water quality monitoring
O uso da geotecnologia na educação ambiental e na conservação ou monitoramento da qualidade da água
DOI:
https://doi.org/10.53660/CLM-1095-23D20BPalavras-chave:
Spatial images, Environmental resource, Geospatial technologyResumo
The technologies that use satellites such as remote sensing can be useful for an effective citizen training regarding environmental education, because by acquiring knowledge about this technology, it can contribute to the conservation and monitoring of water quality. The objective of this research was to identify the gaps between remote sensing, environmental education, and water quality and maintenance. The method employed was inductive, with quantitative and qualitative scope, and observational nature, with a search for secondary data in electronic links such as Google Scholar. The data obtained and analyzed statistically (mean, standard deviation, absolute and relative frequencies), indicated that the concern with water quality goes through Environmental Education, whether in Morocco or in China. Environmental education (n = 6; 30%), still not effective as a discipline focused on the conservation of water quality, and water monitoring (n = 7; 35%), based on optically active physicochemical parameters, such as total phosphorus and total dissolved solids, as well as biological, such as algae (n = 1; 5%), are already identified through the use of hyper spectroscopic remote sensing, either in lotic or lentic bodies. Therefore, it is to be expected that the gaps in investment and training of people web will become more effective, to further feed the existing databases with information, both internationally and nationally.
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Referências
AHMED, M.; MUMTAZ, R.; ANWAR, Z.; SHAUKAT, A.; ARIF, O.; SHAFAIT, F, A multi-sept approach for optically active and inactive water quality parameter estimation using deep learning and remote sensing. Water, n.° 14, 2012.
AVDAN, Z. Y.; KAPLAN, G.; GONCU, S.; AVDAN, U. Monitoring the water quality os small water bodies using high-resolution remote sensing data. International Journal of Geo-information, n.º 8, n.º 553, 2019
BARDIN, L. Content Analysis. São Paulo: Edições 70, 2011
BARROS, A. J. S.; LEHFELD, N. A. S. Fundamentals of Scientific Methodology. 3rd ed. São Paulo: Pearson Prentice Hall, 2014.
BRAZIL. Law No. 9.394, of December 20, 1996. Establishes the guidelines and bases for national education. Available at: L9394 (planalto.gov.br).
BRAZIL. Law No. 9.433, of January 8, 1997. Establishes the National Water Resources Policy. Available at: L9433 (planalto.gov.br).
BRAZIL. Law No. 9.795, of April 27, 1999. Provides for Environmental Education, establishes the National Policy for Environmental Education, and makes other provisions. Available at: L9795 (planalto.gov.br).
CAMPOS, J. F.; DE ANGELIS NETO, G.; TRONCO, A. A.; CHICATI, M. L. Applications of remote sensing in hydric studies. In: Brazilian Symposium on Remote Sensing. 19. 2019. São Paulo. Electronic Proceedings. Available at: Thematic axes
| Annals of the XIX Brazilian Symposium on Remote Sensing| Galoá Proceedings.
COSTA, I. B. C.; OLIVEIRA, S. M. L.; SANTOS, J.W. M. Evaluation of the water quality of the Manso reservoir through orbital remote sensing (Landsat5/TM). Biodiversity, v. 11, n.º 1, p. 31-42, 2012.
FERREIRA JÚNIOR, J. C. Limnology and remote sensing: water quality of Miriti river (Manacapuru/AM) and contribution to water resources management. 2019. Dissertation (master’s in management and Regulation of Water Resources) - Amazonas State University, Manaus, 2019.
FERREIRA, P. F. M.; MATIAS, L. F. v Geotechnologies: potentialities and risks. Geographical Journal of Central America, v. 2, p. 1-14, 2011.
FLORENZANO, T. G.; SANTOS, V. M. N. The use of remote sensing in Environmental Education. 2001. Retrieved from Summary - Annals of the X Brazilian Symposium on Remote Sensing (X SBRS) Foz do Iguaçu 2001 (inpe.br).
FREIRE, N. C.; PACHECO, A. P.; QUEIROZ, V. D’L. B. A remote sensing methodological approach for monitoring the contamination of the Paraopeba River after the Brumadinho-MG disaster. Science and Natura, v. 3, e36, 2021.
GHOLIZADEH, M. H.; MELESSE, A. M.; REDDI, L. A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors, n.º 16, 2016.
IBGE. Brazilian Institute of Geography and Statistics. Tabular standards. Rio de Janeiro: IBGE, 1973.
KADHIM, A. J. Effective use of ICT for learning and teaching Geography. Aalborg Academy Journal of Human and Social Sciences, v. 1, n. 1, p. 15-42, 2020.
KANNIAH, K. D.; HASHIM, M. H; MOHD, M. I. D. Remote Sensing: an environmentally friendly tool to enhance environmental education at the Department of Remote Sensing. University Teknologi Malaysia. In: Asian Conference on Remote Sensing. 22. 2001. Singapura. Disponível em: Asian Association on Remote Sensing｜ACRS｜AARS (a-a-r-s.org). Accessed on: apr. 05, 2023.
KHIRI, F.; BENBRAHIM, M.; RASSOU, K. K.; AMMHMID, O.; RAKIBI, Y.; EL GUAMRI, Y.; ITOUHAR, M.; MRABER, N.; YAZIDI, M.; RAZOKI, B.; EL BRADI, A. Water education and water culture in curricula for primary, middle, and upper secondary school levels. Australian Journal of Environmental Education, n.º 39, p. 37-45, 2022.
LIMA, E.; MAIA, S. Bibliometric behavior of the Portuguese language as a vehicle for the representation of information. Information Science, v. 2, n.º 2, p. 99-138, 1973.
LIMA, T. C. S.; MIOTO, R. C. T. Methodological procedures in the construction of scientific knowledge: the bibliographical research. Katálise Magazine, v. 10, n. esp. P. 37-45, 2007.
LOPES, F. B.; BARBOSA, C. C. F.; NOVO, E. M. L. M.; ANDRADE, E. M.; CHAVES, L. C. G. Water quality modeling from hyperspectral remote sensing. Brazilian Journal of Agricultural and Environmental Engineering, v. 18, p. 513-519, 2014.
MACHADO, M. T. S.; BAPTISTA, G. M. M. Remote sensing as a tool for monitoring the water quality of Paranoá Lake (DF). Sanitary and Environmental Engineering, v. 21, n.º 21, p. 357-365, 2016
RIBEIRO, E. A. W. A proposal for the use of remote sensing in basic education. GeoAtos, v.1, n.° 12, p. 9-21, 2012.
SAGAN, V.; PETERSON K. T.; MAIMAITIJIANG, M.; SIDIKE, P.; SLOAN, J.; GREENLING, B. A.; MAALOUG, S.; ADAMS, C. Monitoring inland quarter quality remote sensing: potential and limitations os spectral indices, bio-optical simulations, machine learning, and cloud computing. 2020. Available in: *Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing (sciencedirectassets.com).
SANTOS, V. M. N.; COMPIANI, M. Teacher training: development of socio-environmental education school projects with the integrated use of maps, aerial photos, satellite images and fieldwork. Enseñanza de las Ciencias. 2005. Available at: 13305783.pdf (core.ac.uk).
SCHLEICH, A, P.; ROCHA FILHO, J. B.; LAHAM, R. A. Environmental studies using remote sensing techniques. Technology and Society Magazine, v. 18, n.º 54, p. 38-52, 2022.
SILVA, E. J,; COELHO, F.; SILVA, W. P. Sensoriamento remoto no monitoramento da qualidade dos recursos hídricos. UniFOA Notebooks, n.º 33, p. 121-130, 2017.
SILVEIRA, P. O.; GUSSELLI, L. A.; REGO, N.; NASCIMENTO, V. F. Environmental education with remote sensing in basic education. In: Brazilian Symposium on Remote Sensing. 19. 2019. São Paulo. Proceedings. Available at: Thematic axes| Annals of the XIX Brazilian Symposium on Remote Sensing| Galoá Proceedings.
SOARES FILHO, B, S. Computer-aided cartography - concepts and methods. Belo Horizonte: UFMG, 2000.
TOPP. S. N.; PAVELSKY, T. M.; JENSEN, D.; SIMARD, M.; ROSS, M. R. V. Research trends in the use of remote sensing for inland water quality science: moving towards multidisciplinary applications. Water, n.º 12, 2020.
VIEIRA, N. F.; HOELLER, S. C.; PRATES, V. The use of remote sensing as a methodological subsidy for environmental education practices: case study: Sub-basin of the Verde River in Campo Magro (PR). 2012. Available at: 2009_fafipa_pedagogo_md_maura_lucia_azevedo.pdf (diaadiaeducacao.pr.gov.br).
WANG, X.; YANG, W. Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review. Ecosystem Health Sustainability, v. 5, n.º 1, p. 476-56, 2019.
