Estimation of Water Quality Index for Coastal Areas in Korea Using GOCI Satellite Data Based on Machine Learning Approaches
Author:
Publisher
The Korean Society of Remote Sensing
Subject
General Medicine
Link
http://ocean.kisti.re.kr/downfile/crosscheck/ksrs/JAKO201621650896248.pdf
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Neural Network-Based Atmospheric Correction Algorithm for GOCI Imagery Over Coastal Waters;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Use of Sentinel-3 OLCI Images and Machine Learning to Assess the Ecological Quality of Italian Coastal Waters;Sensors;2023-11-18
3. High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension;Remote Sensing;2022-01-25
4. Water Quality Assessment from Medium Resolution Satellite Data Using Machine Learning Methods;Water Science and Technology Library;2022
5. Spatial Downscaling of Ocean Colour-Climate Change Initiative (OC-CCI) Forel-Ule Index Using GOCI Satellite Image and Machine Learning Technique;KOREAN J REMOTE SENS;2021
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