Um modelo empírico para estimativa do Total de Sólidos em Suspensão empregando o sensor OLI na costa de Caravelas, Bahia, Brasil
DOI:
https://doi.org/10.21138/GF.674Keywords:
Parque Nacional Marinho de Abrolhos, Landsat 8, recifes de coral, cor do océano, impactosAbstract
Este estudo visa contribuir com o entendimento da dinâmica do Total de Sólidos em Suspensão (TSS) na costa de Caravelas, Extremo Sul da Bahia, Brasil. Imagens obtidas pelo sensor OLI (Landsat 8) em 29/12/2014 e 30/01/2015 foram usadas na criação de um modelo empírico preditivo do TSS superficial, elaborado por regressão linear ajustada por mínimos quadrados. Os resultados mostraram um bom ajuste para o dia 29/12/2014 (RMSE = 5,89; RE = 19,2 %; R2 = 0,89; N = 14) e um ajuste razoável para a imagem de 30/01/2015 (RMSE = 13,33; RE = 57 %; R2 = 0,5; N = 6). O modelo mostrou-se consistente. Porém, o monitoramento dos impactos decorrentes das atividades dragagem seria mais efetivo após nova saída de campo delineada para considerar a variabilidade regional do TSS, incluindo a pluma gerada pela dragagem.References
Andrade A.C.S. Evolução quaternária da planície Costeira de Caravelas – extremo Sul do Estado da Bahia. 2000, 162 p. Tese de Doutorado, Instituto de Geociências da Universidade Federal da Bahia, 2000
Andrade ACS & Dominguez JML. 2002. Informações Geológico Geomorfológicas como Subsídios à Análise Ambiental: o Exemplo da Planície Costeira de Caravelas – Bahia. Boletim Paranaense de Geociências,51: 9–17, 2002.
Batty, M.; Mesev, T. V.; Longley, P.; RS-GIS: Spatial Distributions from Remote Imagery. In: Longley, P and Batty, M, (eds.) Spatial Analysis: GIS in a Modelling Environment. Cambridge, UK. P. 123 – 148. 1996.
Banco Nacional de Dados OCeanográficos - BNDO. Disponível em: < http://www.mar.mil.br/dhn/chm/oceanografia/acesso_dados_produtos.html > Acessado em 30/11/2016.
Dominguez J.M.L. et al. Sandy beaches of the eastern/ northeastern coast of Brazil: geographic variability and coastal erosion. In: SIMPÓSIO BRASILEIRO SOBRE PRAIAS ARENOSAS: Morfodin., Ecol., Riscos e Gestão, Itajaí, 2000.
Eastman, J.R Idrisi Manual, Clark University, Worcester. 2006.
Garaba, S. P. Zielinski, O. An assessment of water quality monitoring tools in an estuarine system, Remote Sensing Applications: Society and Environment. V. 2, P. 1-10. 2015.
Green, E. P., Mumby, P.J., Edwards, A. J., Clarck, C. D., (Ed. A. J. Edwards). Remote Sensing Handbook for Tropical Coastal Management. Coastal Management Sourcebooks 3, UNESCO, Paris. P. 316. 2000.
Gordon, H. R.; Morel, A. Remote assessment of ocean color for interpretation of satellite visible imagery: a review. In: BARBER, RT; MOOERS, N.K.; BOWMAN, M. J.; ZEITZSCHEL, B. (Ed.) . Lecture notes on coastal and estuarine studies. New York: Springer- Verlag, 1983.
Hongyan, X; Yuanzhi, Z. Total suspended matter observation in the Pearl River estuary from in situ and MERIS data. Springer Science+Business Media B.V. 2010
IOCCG (2000). Remote Sensing of Ocean Colour in Coastal, and Other Optically-Complex, Waters. Sathyendranath, S. (ed.), Reports of the International Ocean-Colour Coordinating Group, No. 3, IOCCG, Dartmouth, Canada.
INMET - INSTITUTO NACIONAL DE METEOROLOGIA. Disponível em: < http://www.inmet.gov.br/portal/ >. Acessado em 05/11/2016.
Jaelani, L. M.; Kurniadin, N. Empirical Algorithm Modeling for Estimating Total Suspended Solid Concentration Using In-situ Data and Atmospheric Corrected Landsat 8, Case Study: Gili Iyang’s Waters. The 2nd Internasional Seminar on Science and Technology (ISST) for Sustainable Infrastructure Empowering Research and Technology for Sustainable Infrastructure – 2nd August 2016
Jaelani, L. M.; Limehuwey, R.; Kurniadin, N.; Pamungkas, A.; Koennhardono, E. S.; Sulisetyono, A. Estimation of TSS and Chl-a Concentration from Landsat 8-OLI: The Effect of Atmosphere and Retrieval Algorithm. The Journal for Technology and Science. V. 27. N. 1. 2016
Laili, N.; Arafah L. M.; Jaelani, L. M.; Subehi, L.; Koenhadono, E. S.; Sulisetyono, A. Developement of water quality parameter retrieval algorithms for estimation total suspended solids and chlorophill-a concentration using landsat-8 imagery at poteran island water. SPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-2/W2, 2015 Joint International Geoinformation Conference 2015, 28–30 October 2015, Kuala Lumpur, Malaysia
Leão, Z. M. N. Threats to coral reefs environments. In: Corals of southern Bahia. Ed. Hetzel B. and Castro, C.B. Nova Fronteira, Rio de Janeiro, 1994
McFeeters, S.K. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, v.17, n.7, p.1425-1432, 1996.
Mielke, C.; Boesche, N. K.; Rogass, C.; Kaufmann, H.; Gauuert, C.; WIT, M. Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion/OLI and EnMAP/Sentinel-2. Remote Sens. V. 6 (2014) 6790-6816
Morel, A. In-water and remote measurements of ocean colour. Boundary Layer Meteorology. V.18, p. 177-201, 1980
Nascimento D. M. C.; Dominguez J. M. L. 2005. O mapa de vulnerabilidade ambiental como subsídio à gestão da zona costeira: o exemplo da planície costeira de Belmonte-BA. In: Congresso Brasileiro de Cartografia, 22, Anais, p.1-6.
National Oceanic and Atmospheric Administration - NOAA. Disponível em: < https://tidesandcurrents.noaa.gov/curr_pred.html > Acessado em: 30/11/2016
Nelson S. A. C.; Spence Cheruvelil, K.; Soranno, P. A. Satellite remote sensing of freshwater macrophytes and the influence of water clarity. Aquatic Botany, V. 85, N. 4, P. 289-298. 2006
Pereira, M. D., Siegle, E., Miranda, L. B., Schettini, C. A. F., 2010. Hidrodinâmica e transporte de material particulado em suspensão sazonal em um estuário dominado por maré: estuário de Caravelas (BA), Revista Brasileira de Geofísica 28(3), 427-444.
Richter, R. Atmosferic correction algorithm for flat terrain: ATCOR2. Geosystems, 208 p. (2000).
Schettini, C. A. F.; Miranda, L. B. Circulation and suspended particulate matter transport in a tidally dominated estuary: Caravelas estuary, Bahia, Brazil. Brazilian Journal of Oceanography, v.58, n.1, p.1-11, 2010
Slonecker, E. T.; Jones, D. K.; Pellerin, B. A. The new landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM). Marine Pollution Bulletin, V.107, P. 518-52, 2016
USGS 2016. Landsat 8 (L8) Data Users Handbook Version 2.0, March, 2016. Department of the Interior - U.S. Geological Survey – NASA. Disponível em: < https://landsat.usgs.gov/landsat-8-l8-data-users-handbook >. Acesso em 05/11/2016.
Volpe, V; Marani, M.; Silvestre; S. Remote sensing retrieval of suspended sediment concentration in shallow waters. Remote Sensing of Environment, V. 115, P. 44-54. 2011.
Wagenmakers, E. J.; Farrell, S. AIC model selection using Akaike weights. Psychonomic Bulletin & Review. V. 11, N. 1, P. 192-196. 2004.
Zhang, X.; Tang, D.; Li, Z. Zhang, F. The effects of wind and rainfall on suspended sediment concentration related to the 2004 Indian Ocean tsunami, Marine Pollution Bulletin, V. 58, N. 9, P. 1367-1373. 2009.
Zhang, Y.; Zhang, Y.; Shi, K.; Zha, Y.; Zhou, Y.; Liu, M. A Landsat 8 OLI-Based, Semianalytical Model for Estimating the Total Suspended Matter Concentration in the Slightly Turbid Xin’anjiang Reservoir (China). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, V. 9. N. 1. P. 398-413. 2016.
Downloads
Published
How to Cite
Issue
Section
License
©The authors of the articles and other contributions published in GeoFocus keep intact the intellectual property rights over them. The authors and the publisher authorize the total or partial reproduction of the contents of the journal in the following terms:
1) Express mention of the author and the reference of the original publication.
2) Do not perform a commercial or lucrative use of them. Otherwise, you should contact the authors to make the appropriate arrangements.
3) Authors preserve their property rights and give to the journal the rights of the first publication of the work, registered with the Licencia Creative Commons Atribución-NoComercial-SinDerivar 4.0 Internacional, which allows third parties to use the published data whenever the authorship of the work and first publication in this journal is mentioned.
4) It is allowed that authors disseminate electronically (e.g., in institutional repositories or on their own website) the published version of their work, as it encourages the earliest circulation and dissemination, and thus a possible increase in the citation and scope in the academic community.