Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models

Water3.40
Volume: 10, Issue: 8, Pages: 1020 - 1020
Published: Aug 2, 2018
Abstract
Harmful algal blooms have negatively affected the aquaculture industry and aquatic ecosystems globally. Remote sensing using satellite sensor systems has been applied on large spatial scales with high temporal resolutions for effective monitoring of harmful algal blooms in coastal waters. However, oceanic color satellites have limitations, such as low spatial resolution of sensor systems and the optical complexity of coastal waters. In this...
Paper Details
Title
Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models
Published Date
Aug 2, 2018
Journal
Volume
10
Issue
8
Pages
1020 - 1020
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.