Harmonized Chlorophyll-a Retrievals in Inland Lakes From Landsat-8/9 and Sentinel 2A/B Virtual Constellation Through Machine Learning-Reference-Cited by-同舟云学术

Harmonized Chlorophyll-a Retrievals in Inland Lakes From Landsat-8/9 and Sentinel 2A/B Virtual Constellation Through Machine Learning

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cao Zhigang¹^ORCID,Ma Ronghua¹^ORCID,Liu Miao²,Duan Hongtao¹^ORCID,Xiao Qing³,Xue Kun¹^ORCID,Shen Ming¹

Affiliation:

1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China

2. Jiangsu Provincial Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Science, Nanjing, China

3. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

Natural Science Foundation of Jiangsu Province

Open Fund of State Key Laboratory of Remote Sensing Science

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09893836.pdf?arnumber=9893836

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3. Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images: A case study using China's three largest freshwater lakes

4. Ocean optics protocols for satellite ocean color sensor validation, Revision 4. Volume III: Radiometric measurements and data analysis protocols;mueller,2003

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