Open Access
E3S Web Conf.
Volume 158, 2020
2019 7th International Conference on Environment Pollution and Prevention (ICEPP 2019)
Article Number 05001
Number of page(s) 6
Section Environmental Detection
Published online 23 March 2020
  1. Gitelson, A.A.. The peak near 700 nm on reflectance spectra of algae and water: Relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing, 13, 3367−3373 (1992). [Google Scholar]
  2. Huang W., Mukherjee D., Chen S Assessment of Hurricane Ivan impact on chlorophyll-a in Pensacola Bay by MODIS 25m remote sensing. Marine Pollution Bulletin 62(62):490-498 (2011). [Google Scholar]
  3. Afanasyev YD, Nezlin NP, Kostianoy AG Patterns of seasonal dynamics of remotely sensed chlorophyll and physical environment in the Newfoundland region. Remote Sensing of Environment 76(76):268-282 (2001). [Google Scholar]
  4. Bresciani M., Stroppiana D., Odermatt D., Morabito G., Giardino C Assessing remotely sensed chlorophyll-a for the implementation of the Water Framework Directive in European perialpine lakes. Sci. Total Environ. 409(409):3083-3091 (2011). [Google Scholar]
  5. Cannizzaro JP, Carder KL Estimating chlorophyll a concentrations from remote-sensing reflectance in optically shallow waters. Remote Sensing of Environment 101(101):13-24 (2006). [Google Scholar]
  6. Le C., Hu C., Cannizzaro J., English D., Muller-Karger F., Lee Z. Evaluation of chlorophyll-a remote sensing algorithms for an optically complex estuary. Remote Sensing of Environment 129(129):75-89 (2013). [Google Scholar]
  7. Li F., Xu J., Ma R., Duan H., Zhang B. Chlorophyll-a retrieval in inland waters based on a regional three-band model. Journal of Remote Sensing 15(15):1156-1170 (2011). [Google Scholar]
  8. Liu M., Liu X., Wu M., Li L., Xiu L. Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model. Computers & Geosciences 37(37):1642-1652 (2011). [Google Scholar]
  9. Mishra S., Mishra DR. Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters. Remote Sensing of Environment 117(117):394-406 (2012). [Google Scholar]
  10. Spyrakos E., González Vilas L., Torres Palenzuela JM, Barton ED. Remote sensing chlorophyll a of optically complex waters (rias Baixas, NW Spain): Application of a regionally specific chlorophyll a algorithm for MERIS full resolution data during an upwelling cycle. Remote Sensing of Environment 115(115):2471-2485 (2011). [Google Scholar]
  11. Wang MH, Shi W., Tang JW. Water property monitoring and assessment for China’s inland Lake Taihu from MODIS-Aqua measurements. Remote Sensing of Environment 115(115):841-854 (2011). [Google Scholar]
  12. Zhu AX, Yang L., Li B., Qin C., Pei T., Liu B. Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma 155(3-4):164-174 (2010). [Google Scholar]

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