A deep learning method for cyanobacterial harmful algae blooms prediction in Taihu Lake, China-Reference-Cited by-同舟云学术

A deep learning method for cyanobacterial harmful algae blooms prediction in Taihu Lake, China

Published:2022-03 Issue: Volume:113 Page:102189
ISSN:1568-9883
Container-title:Harmful Algae
language:en
Short-container-title:Harmful Algae

Author:

Cao Hongye,Han Ling,Li Liangzhi

Publisher

Elsevier BV

Subject

Plant Science,Aquatic Science

Reference61 articles.

1. A methodological approach towards evaluating structural damage severity using 1D CNNs;Almutairi;Structures,2021

2. Google earth engine cloud computing platform for remote sensing big data applications: a comprehensive review;Amani;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2020

3. LGN-CNN: a biologically inspired CNN architecture;Bertoni;Neural Netw.,2022

4. Remote detection of cyanobacteria blooms in an optically shallow subtropical lagoonal estuary using MODIS data;Cannizzaro;Remote Sens. Environ.,2019

5. A risk assessment method for remote sensing of cyanobacterial blooms in inland waters;Chen;Sci. Total Environ.,2020

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