C-HARM: Predicting Harmful Algal Blooms with Satellite Data
Mar 14, 2023 · The California-Harmful Algae Risk Mapping (C-HARM) Harmful Algal Bloom (HAB) products predict the occurrences of harmful species of Pseudo-nitzschia and the toxin they produce, domoic acid, using sophisticated circulation models, satellite remote-sensing data, and statistical models.
Enhancing Algal Bloom Level Monitoring with CYGNSS and …
Oct 21, 2024 · To accurately monitor and predict algal blooms, this paper uses Sentinel-3 OLCI (Ocean and Land Color Instrument) data to retrieve chl_a concentration and proposes a machine learning (ML) model for bloom monitoring using CYGNSS reflectivity and meteorological data.
2024 Lake Erie Harmful Algal Bloom Seasonal Assessment
2 days ago · The 2024 western Lake Erie cyanobacterial bloom had a severity index (SI) of 6.6, which is moderately severe, and more intense than 2023 (SI of 5.3). The SI captures the amount of biomass over the peak 30-days of the bloom, calculated using satellite imagery. Bloom severity was slightly above the seasonal forecast issued on June
Frontiers | Modulation of growth, microcystin production, and algal ...
Feb 29, 2024 · Harmful algal blooms (HABs) in natural waters are of escalating global concern due to their detrimental impact on environmental health. Emerging evidence indicates that algae-bacteria symbionts can affect HAB features, though …
HAB Forecast – California HABMAP
The California-Harmful Algae Risk Mapping (C-HARM) Model generates predictions of harmful algal bloom (HAB) conditions through a combination of 1) sophisticated circulation models that predict the ocean physics, 2) satellite remote-sensing data of the ocean “color” and chlorophyll patterns, and 3) statistical models for predicting bloom and ...
Coastal phytoplankton blooms expand and intensify in the 21st …
Mar 1, 2023 · Here we map daily marine coastal algal blooms between 2003 and 2020 using global satellite observations at 1-km spatial resolution. We found that algal blooms occurred in 126 out of the 153...
Harmful algal blooms in inland waters - Nature
Aug 27, 2024 · Harmful algal blooms can produce toxins that pose threats to aquatic ecosystems and human health. In this Review, we outline the global trends in harmful algal bloom occurrence and explore...
A three-step machine learning approach for algal bloom …
Aug 1, 2023 · A three-step approach was designed to identify algal blooms. •. The three steps can abate the influence of the complex environment. •. Some machine learning models were evaluated for each step. •. It was used to report the real-time status of algal blooms along Lake Chaohu. Abstract.
A refined deep-learning-based algorithm for harmful-algal-bloom …
Apr 5, 2024 · To address this issue, a refined deep-learning algorithm termed HAB-Ne was developed for the recognition of HABs in GF-1 Wide Field of View (WFV) images using Noctiluca scintillans algal bloom as an example.
Global mapping reveals increase in lacustrine algal blooms over …
Feb 3, 2022 · Here we establish a global bloom database, using 2.91 million Landsat satellite images from 1982 to 2019 to characterize algal blooms in 248,243 freshwater lakes, representing 57.1% of the...