Estimating chlorophyll-A concentration in the Caspian Sea from MODIS images using artificial neural networks
Siamak Boudaghpour, Hajar Sadat Alizadeh Moghadam, Mohammadreza Hajbabaie, Seyed Hamidreza Toliati
Environmental Engineering Research. 2020;25(4):515-521. Published online 2019 Jul 31 DOI: https://doi.org/10.4491/eer.2019.106
Citations to this article as recorded by 
Evaluating Satellite Data Products and State Monitoring Data as Substitutes for on-farm Data for Oyster Aquaculture Modeling
Suzanne Bricker, Varis Ransibrahmanakul, Katherine Okada, Erik Davenport, Renee Karrh, Ronald L. Vogel, Travis Briggs, Michelle C. Tomlinson
Journal of Shellfish Research.2025;[Epub] CrossRef
Examining the principal factors that limits the chlorophyll-a concentration across coastal waters of northern Maharashtra state using a robust Generalised Additive Model
Padmanav Pallavi, D. Parthasarathy, K. Narayanan, A.B. Inamdar, Sachin Budakoti
Regional Studies in Marine Science.2024; 77: 103693. CrossRef
Estimations for Water Quality Factors of Kumho River, South Korea, using Remote Sensing Technology
Jihun Seo, Paikho Rho, Hun Kyun Bae
Environmental Engineering Research.2022; 28(5): 220368. CrossRef
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective
Rabia Munsaf Khan, Bahram Salehi, Masoud Mahdianpari, Fariba Mohammadimanesh, Giorgos Mountrakis, Lindi J. Quackenbush
Remote Sensing.2021; 13(21): 4347. CrossRef