Genetic Algorithm – Back Propagation (GA-BP) Neural Network for Chlorophyll-a Concentration Inversion Using Landsat 8 OLI Data

Qi Chen; Mutao Huang; Ronghui Wang

doi:10.1051/e3sconf/202014302002

All issues

Volume 143 (2020)

E3S Web Conf., 143 (2020) 02002

References

Open Access

Issue		E3S Web Conf. Volume 143, 2020 2^nd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2019)


Article Number		02002
Number of page(s)		5
Section		Environmental Science and Energy Engineering
DOI		https://doi.org/10.1051/e3sconf/202014302002
Published online		24 January 2020

Alcântara, Enner, Bernardo, Nariane, Rodrigues, Thanan, Watanabe, & Fernanda. Modeling the spatio-temporal dissolved organic carbon concentration in Barra Bonita reservoir using OLI/Landsat-8 images. Model. Earth Syst. Environ. 3 (2017) [PubMed] [Google Scholar]
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[1] Alcântara, Enner, Bernardo, Nariane, Rodrigues, Thanan, Watanabe, & Fernanda. Modeling the spatio-temporal dissolved organic carbon concentration in Barra Bonita reservoir using OLI/Landsat-8 images. Model. Earth Syst. Environ. 3 (2017) [PubMed] [Google Scholar]

[2] Concha, J.A., & Schott, J.R. Retrieval of color producing agents in Case 2 waters using Landsat 8. Remote Sens. Environ. 185 (2016) [Google Scholar]

[3] Dörnhöfer, K., & Oppelt, N. Remote sensing for lake research and monitoring – Recent advances. Ecol. Indic. 64 (2016) [Google Scholar]

[4] Hanson, P.C., Weathers, K.C., & Kratz, T.K. Networked lake science: how the Global Lake Ecological Observatory Network (GLEON) works to understand, predict, and communicate lake ecosystem response to global change. Inland Waters 6 (2016) [Google Scholar]

[5] Lee, Z., Shang, S., Lin, Q., Jing, Y., & Gong, L. A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements. Remote Sens. Environ. 177 (2016) [Google Scholar]

[6] Li, Y., Zhang, Y., Shi, K., Zhou, Y., Zhang, Y., Liu, X., & Guo, Y. Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors. Environ Sci Pollut Res Int. 25 (2018) [Google Scholar]

[7] Pahlevan, N., Lee, Z., Wei, J., Schaaf, C.B., Schott, J.R., & Berk, A. On-orbit radiometric characterization of OLI (Landsat-8) for applications in aquatic remote sensing. Remote Sens. Environ. 154 (2014) [Google Scholar]

[8] Tan, W., Liu, P., Yi, L., Shao, Y., & Feng, S. A 30-Year Assessment of Phytoplankton Blooms in Erhai Lake Using Landsat Imagery: 1987 to 2016. Remote Sens. 9 (2017) [Google Scholar]