Im, G.; Lee, D.; Lee, S.; Lee, J.; Lee, S.; Park, J.; Heo, T.-Y.
Estimating Chlorophyll-a Concentration from Hyperspectral Data Using Various Machine Learning Techniques: A Case Study at Paldang Dam, South Korea. Water 2022, 14, 4080.
https://doi.org/10.3390/w14244080
AMA Style
Im G, Lee D, Lee S, Lee J, Lee S, Park J, Heo T-Y.
Estimating Chlorophyll-a Concentration from Hyperspectral Data Using Various Machine Learning Techniques: A Case Study at Paldang Dam, South Korea. Water. 2022; 14(24):4080.
https://doi.org/10.3390/w14244080
Chicago/Turabian Style
Im, GwangMuk, Dohyun Lee, Sanghun Lee, Jongsu Lee, Sungjong Lee, Jungsu Park, and Tae-Young Heo.
2022. "Estimating Chlorophyll-a Concentration from Hyperspectral Data Using Various Machine Learning Techniques: A Case Study at Paldang Dam, South Korea" Water 14, no. 24: 4080.
https://doi.org/10.3390/w14244080
APA Style
Im, G., Lee, D., Lee, S., Lee, J., Lee, S., Park, J., & Heo, T.-Y.
(2022). Estimating Chlorophyll-a Concentration from Hyperspectral Data Using Various Machine Learning Techniques: A Case Study at Paldang Dam, South Korea. Water, 14(24), 4080.
https://doi.org/10.3390/w14244080