Machine Learning Analysis of CYGNSS Data for Chlorophyll Concentration Monitoring in Algal Blooms-Reference-Cited by-同舟云学术

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Machine Learning Analysis of CYGNSS Data for Chlorophyll Concentration Monitoring in Algal Blooms

Published:2024-07-07 Issue: Volume: Page:1025-1028
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Jia Yan¹,Liu Quan¹,Yu Heng¹,Lv Yan²,Wu Zhen¹,Jin Shuanggen³,Peinetti Fabio⁴,Savi Patrizia⁴

Affiliation:

1. Nanjing University of Posts and Telecommunications,Nanjing,China,210023

2. Nanjing University of Information Science and Technology,Nanjing,China,210044

3. Henan Polytechnic University,School of Surveying and Land Information Engineering,Jiaozuo,China,454003

4. Politecnico di Torino,Department of Electronic and Telecommunication,Torino,Italy,10129

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642292.pdf?arnumber=10642292

Reference14 articles.

1. Toward in situ detection of algae species

2. Weather Variability, Sunspots, and the Blooms of Cyanobacteria

3. New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection

4. A New Paradigm in Earth Environmental Monitoring with the CYGNSS Small Satellite Constellation

5. Flash Flood Detection From CYGNSS Data Using the RUSBoost Algorithm

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