Regional Upscaling of Chlorophyll-A Retrieval from Small Eutrophic Lakes Via Sentinel-2-Reference-Cited by-同舟云学术

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Regional Upscaling of Chlorophyll-A Retrieval from Small Eutrophic Lakes Via Sentinel-2

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:

Chegoonian Amir M.¹,Leavitt Peter R.²,Zolfaghari Kiana¹,Davies John-Mark³,Baulch Helen M.³,Duguay Claude R.¹

Affiliation:

1. University of Waterloo,Department of Geography & Environmental Management,Waterloo,Ontario,Canada

2. University of Regina,Institute of Environmental Change and Society,Regina,Saskatchewan,Canada

3. University of Saskatchewan,School of Environment and Sustainability,Saskatoon,Saskatchewan,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883793.pdf?arnumber=9883793

Reference19 articles.

1. ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters

2. Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake

3. Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI

4. Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives

Cited by 2 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. Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Improved Water Chlorophyll-A Retrieval Method Based On Mixture Density Networks Using In-Situ Hyperspectral Remote Sensing Data;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

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