An Optimal Two Bands Ratio Model to Monitor Chlorophyll-a in Urban Lake Using Landsat 8 Data

Qi Chen; Mutao Huang; Kaiyuan Bai; Xiaojuan Li

doi:10.1051/e3sconf/202014302003

All issues

Volume 143 (2020)

E3S Web Conf., 143 (2020) 02003

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		02003
Number of page(s)		5
Section		Environmental Science and Energy Engineering
DOI		https://doi.org/10.1051/e3sconf/202014302003
Published online		24 January 2020

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[1] V. Klemas, “Remote sensing of emergent and submerged wetlands: an overview,” International INT. J. REMOTE SENS. 34 (2013) [Google Scholar]

[2] R. P. Bukata, “Satellite Monitoring of Inland and Coastal Water Quality,” Crc Taylor & Francis, (2005) [CrossRef] [Google Scholar]

[3] S. C. J. Palmer, T. Kutser, and P. D. Hunter, “Remote sensing of inland waters: Challenges, progress and future directions,” Remote Sens. Environ. 157 (2015) [Google Scholar]

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

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

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

[7] C. Jiang, W. N. Zhu, Y. Q. Tian, and Y. Qian, “Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water: Case Study of Lake Huron,” IEEE T GEOSCI. REMOTE. 55 (2017) [Google Scholar]

[8] Alcântara et al., “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]

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

[10] S. Deyong, H. Chuanmin, Q. Zhongfeng, and S. Kun, “Estimating phycocyanin pigment concentration in productive inland waters using Landsat measurements: a case study in Lake Dianchi,” Optics Express 23 (2015) [Google Scholar]

[11] I. Ogashawara, L. Lin, and M. J. M. Madriñán, Slope algorithm to map algal blooms in inland waters for Landsat 8/Operational Land Imager images, J. APPL. REMOTE SENS. 11 (2016) [Google Scholar]

[12] A. P. H. Association and A. W. W. Association, Standard methods for the examination of water and wastewater. American public health association, (1989) [Google Scholar]

[13] W. Qian, W. Yi, R. Niu, and P. Ling, “Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China,” Remote Sens. 9 (2017) [Google Scholar]