Ensemble of Pruned Bagged Mixture Density Networks for Improved Water Quality Retrieval Using Sentinel-2 and Landsat-8 Remote Sensing Data-Reference-Cited by-同舟云学术

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Ensemble of Pruned Bagged Mixture Density Networks for Improved Water Quality Retrieval Using Sentinel-2 and Landsat-8 Remote Sensing Data

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Taheri Dehkordi Alireza¹^ORCID,Hashemi Hossein²^ORCID,Naghibi Amir²^ORCID,Mehran Ali³^ORCID

Affiliation:

1. Department of Building and Environmental Technology, Faculty of Engineering (LTH), Division of Water Resources Engineering, Lund University, Lund, Sweden

2. Department of Building and Environmental Technology, Faculty of Engineering (LTH), and the Centre for Advanced Middle Eastern Studies (CMES), Division of Water Resources Engineering, Lund University, Lund, Sweden

3. Department of Civil and Environmental Engineering, San Jose State University, San Jose, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10620296.pdf?arnumber=10620296

Reference22 articles.

1. A review of remote sensing applications for water security: Quantity, quality, and extremes

2. Long Term Trend Analysis of River Flow and Climate in Northern Canada

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

4. Overview of the Application of Remote Sensing in Effective Monitoring of Water Quality Parameters

5. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods

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