A Genetic Algorithm-Optimized Neural Network for Chlorophyll a Estimation Using MODIS Satellite Data in Coastal Water: Application to the Sinpho Bay of DPR Korea-Reference-Cited by-同舟云学术

A Genetic Algorithm-Optimized Neural Network for Chlorophyll a Estimation Using MODIS Satellite Data in Coastal Water: Application to the Sinpho Bay of DPR Korea

Published:2023-06-20 Issue:7 Volume:51 Page:1541-1551
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Ri Tong-Chol,Jo Jong-Song

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12524-023-01719-8.pdf

Reference50 articles.

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4. Brusca, R. C., Álvarez-Borrego, S., Hastings, P. A., & Findley, L. T. (2017). Colorado River flow and biological productivity in the Northern Gulf of California, Mexico. Earth-Science Reviews, 164, 1–30. https://doi.org/10.1016/j.earscirev.2016.10.012

5. Chen, J., & Quan, W. (2013). An improved algorithm for retrieving chlorophyll-a from the yellow river estuary using MODIS imagery. Environmental Monitoring and Assessment, 185, 2243–2255. https://doi.org/10.1007/s10661-012-2705-y

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