Coastal Water Quality Retrieval Based on Random Forest Coupled with Whale Optimization Algorithm using Sentinel-2 Data from Google Earth Engine-Reference-Cited by-同舟云学术

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Coastal Water Quality Retrieval Based on Random Forest Coupled with Whale Optimization Algorithm using Sentinel-2 Data from Google Earth Engine

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
language:
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Author:

Ghasemi Hani¹,Dehkordi Alireza Taheri²,Jafari Mohsen³,Zoej Mohammad Javad Valadan²

Affiliation:

1. K. N. Toosi University of Technology,Department of Civil Engineering,Tehran,Iran

2. K. N. Toosi University of Technology,Department of Photogrammetry and Remote Sensing,Tehran,Iran

3. Shiraz University,Department of Civil and Environmental Engineering,Shiraz,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402599/10402616/10402692.pdf?arnumber=10402692

Reference14 articles.

1. Monitoring Long-Term Spatiotemporal Changes in Iran Surface Waters Using Landsat Imagery

2. A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques

3. A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges

4. Lake Turbidity Mapping Using an OWTs-bp Based Framework and Sentinel-2 Imagery

5. Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity

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