Estimation of Chlorophyll-a From Oceanographic Properties - An Indirect Approach-Reference-Cited by-同舟云学术

Estimation of Chlorophyll-a From Oceanographic Properties - An Indirect Approach

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Prakash Tiwari Surya¹^ORCID,Adhikary Subhrangshu²^ORCID,Banerjee Saikat³^ORCID

Affiliation:

1. Center for Environment and Marine Studies, Research Institute King Fahd University of Petroleum and Minerals (KFUPM),Dhahran,Kingdom of Saudi Arabia,31261

2. Dr. B.C. Roy Engineering College,Dept. of Computer Science and Engineering,Durgapur,West Bengal,India,713206

3. WINGBOTICS,Department of Remote sensing Director,Kolkata,West Bengal,India,700086

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883294.pdf?arnumber=9883294

Reference13 articles.

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3. Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm

4. Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval

5. Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing

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