Evaluation and comparison of JPSS VIIRS neural network retrievals of harmful algal blooms with other retrieval algorithms, validated against in-situ radiometric and sample measurements in the West Florida Shelf, and examination of impacts of atmospheric corrections, temporal variations and complex in-shore waters-Reference-Cited by-同舟云学术

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Evaluation and comparison of JPSS VIIRS neural network retrievals of harmful algal blooms with other retrieval algorithms, validated against in-situ radiometric and sample measurements in the West Florida Shelf, and examination of impacts of atmospheric corrections, temporal variations and complex in-shore waters

Published:2018-10-05 Issue: Volume: Page:
ISSN:
Container-title:Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018
language:
Short-container-title:

Author:

Ondrusek Michael E.,Ahmed Samir,El-Habashi Ahmed,Lovko Vincent

Publisher

SPIE

Reference39 articles.

1. Satellite Retrievals of Karenia brevis Harmful Algal Blooms in the West Florida Shelf Using Neural Networks and Comparisons with Other Techniques

2. Satellite retrievals of Karenia brevis harmful algal blooms in the West Florida shelf using neural networks and impacts of temporal variabilities

3. Red tide detection and tracing using MODIS fluorescence data: A regional example in SW Florida coastal waters

4. Novel optical techniques for detecting and classifying toxic dinoflagellate Karenia brevis blooms using satellite imagery

5. An evaluation of remote sensing techniques for enhanced detection of the toxic dinoflagellate, Karenia brevis

Cited by 1 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. Analyses of satellite ocean color retrievals show advantage of neural network approaches and algorithms that avoid deep blue bands;Journal of Applied Remote Sensing;2019-05-02

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