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Innovations in Systems and Software Engineering

The reprocessing will encompass updates to the algorithm, the approach for identifying mixed land-water pixels, and the land mask. Improvements have been made to the geotiff data files so metadata is now contained in the geotiff files, and the format is compatible with ArcGIS. Figure 2. Example of how CyAN divides the satellite images into smaller files.

The numbered tiles each represent a spatial area that will be made into a separate file. The data file name will use the row and column number to identify the tile location.

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The Environmental Component of the CyAN project focuses on the evaluation of the existing satellite data to document changes in land-cover composition, land-use activities, chlorophyll a , and cyanobacteria concentrations. Fiscal Year Update: Methods to quantify the frequency, extent and magnitude of cyanobacteria in satellite resolvable lakes across the U. Random forest models have been used to generate landscape variable importance metrics and a Classification and Regression Tree CART algorithm to visualize the important associations between the top drivers and cyanobacteria.

Fiscal Year Update: An approach for identifying lakes that can be resolved by any satellite given different pixel resolutions has been defined, and a method to quantify the frequency of bloom occurrence in recreational and surface drinking water sites has been developed. A method for examining temporal changes in cyanobacteria harmful algal bloom spatial extent for state level assessment, transferable to different spatial areas was also developed.

Remote sensing of cyanobacteria blooms offers a unique opportunity to estimate human exposure to cyanotoxins over specific geographic areas.

The health of those communities with a past history of cyanobacteria blooms detected via satellite may be evaluated retrospectively by the analysis of existing health records. Fiscal Year Update: The CyAN team has analyzed health data from a prospective epidemiology study at a Great Lakes Beach, along with retrospective satellite imagery of the near shore water during the study period. We estimated participant exposure during the study period and evaluated health effects after exposure to water during remotely sensed blooms.

Fiscal Year Update: Analysis of a study of human health effects associated with exposure to recreational water at a Great Lakes beach is underway. Across the U. However, monitoring can be expensive, takes time, and results are often not available in enough time for management decisions.

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Automated detection of events based on remote sensing has the potential to improve the quality and timing of HAB-related data delivery to those who need it. The costs associated with monitoring algal blooms, and the economic value of early bloom event detection using remote sensing data are being identified. Fiscal Year Update: CyAN is working with the Valuables Consortium to estimate the value of the socioeconomic benefits of having satellite imagery available for detecting algal blooms.

As part of this analysis, the value added of in situ sampling is compared to the expenditures required to store, manage, and make satellite-derived data available.

Cyanobacteria Assessment Network (CyAN) | Water Research | US EPA

Fiscal Year Update: CyAN quantified the benefits of using remote sensing and field-based monitoring data to detect chlorophyll a as a general indicator of harmful algal blooms. This effort investigates the spatial and temporal coverage of both satellite and field based observations across US lakes and potential costs and trade-offs. This work examines the extent of chlorophyll a observations across the CONUS for both the Landsat OLI and Sentinel 3 OLCI satellites and makes comparisons with the spatial and temporal extent of existing national programs collecting in-situ field observations of chlorophyll a.

Satellite data that is accessible to scientists is not typically processed and delivered to the public in a manner that demonstrates its practical value to daily life. The second platform is the EnviroAtlas for longer-term trend analysis. Fiscal Year Update: The mobile app continued beta testing with collaborators, such as validating against 25 state health advisories issued in across seven states.

CyAN continues to work with several states, localities, and various organizations such as California Water Board, Army Corps of Engineers, and non-profits. We have also evaluated a new color bar for use with imagery in response to requests from numerous collaborators. The standard rainbow has been recognized as having several deficiencies.

Figure 3. Selection of a location in the My Location tab allows the user to visualize the thumbnail archive of Sentinel-3 satellite imagery. The first session was an introduction to SeaDAS for state and federal stakeholders, the second was an introduction to the RSTools toolkit for ArcGIS and basics of the products being produced through the project. A smaller-scale training was held for collaborators asked to beta test the CyAN mobile application.

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RSTools allows calculation of all composites and extraction of time series data for point and shape polygons by any agency using ArcGIS. It is currently available to any state regulatory agency or health department for beta testing see "Project Contacts" below. Disclaimer: Any mention of trade names, manufacturers, or products does not imply an endorsement by EPA.

EPA and its employees do not endorse any commercial products, services, or enterprises. For comments or questions, contact us about the CyAN Project. Contact Us to ask a question, provide feedback, or report a problem.

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