Low-Cost, High-Density Field Water Quality Data Enable High-Accuracy Minimalist Remote Sensing for Local Sustainability and Resilience with Sentinel-2 Multispectral Imager-Reference-Cited by-同舟云学术

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Low-Cost, High-Density Field Water Quality Data Enable High-Accuracy Minimalist Remote Sensing for Local Sustainability and Resilience with Sentinel-2 Multispectral Imager

Published:2024-07-07 Issue: Volume: Page:871-874
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Beck Richard¹,Liu Hongxing²,Shu Song³,Xu Min⁴,Su Haibin⁵,Wang Lei⁶

Affiliation:

1. U. Cincinnati

2. U. Alabama

3. Appalachian State U

4. Troy U

5. Texas A&M U

6. Louisianna State U

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642551.pdf?arnumber=10642551

Reference6 articles.

1. Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation;Zibordi,2019

2. The impact of improved signal-to-noise ratios on algorithm performance: Case studies for Landsat class instruments

3. Barriers to adopting satellite remote sensing for water quality management

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