Science Inventory

Refine Your Search

Search Again

or try advanced search

Search Within

Search Results

Search Criteria:

Records with

  • Keyword = remote sensing OR satellite AND harmful algal blooms.
  (Sorted by Revision Date)
Records 26 to 50 of 1213

Water quality from space: examples of satellite remote sensing for monitoring applications
(PRESENTATION) [Presented : Dec 20, 2023]
In an age of changing climate and overexploited resources, our work to understand water quality is more important than ever. Satellite remote sensing has emerged as a useful water quality monitoring tool, offering a cost-effective means of supplementing traditional in situ sampli...
Assessing fuel storage tank fugitive emissions using lower-cost sensors and triggered canisters: the Greensboro Storage Tank Assessment with Remote sensing Technologies (G-START) Project
(PRESENTATION) [Presented : Nov 16, 2023]
Above ground storage tanks/terminals provide an essential link in the transportation of fuel between national infrastructure (e.g., pipelines) and local distribution points (e.g., gas stations). As part of normal operations, volatile components of refined gasoline/fuels (includin...
Forecasting freshwater cyanobacterial harmful algal blooms for Sentinel-3 satellite resolved U.S. lakes and reservoirs
(JOURNAL) [Published : Jan 01, 2024]
This forecasting approach may be useful for water managers and associated public health managers to predict near-term future high-risk cyanobacterial harmful algal blooms (cyanoHAB) occurrence. Freshwater cyanoHABs may grow to excessive concentrations and cause human, animal, and...
Assessing the suitability of lakes and reservoirs for recreation using Landsat 8
(JOURNAL) [Published : Oct 21, 2023]
Water clarity has long been used as a visual indicator of the condition of water quality. The clarity of waters is generally valued for esthetic and recreational purposes. Water clarity is often assessed using a Secchi disk attached to a measured line and lowered to a depth where...
Advances in Remote Sensing of Inland Water Quality
(PRESENTATION) [Presented : Oct 13, 2023]
Satellite technologies for water quality monitoring have made great advances in the last decade. An overview of satellite technical trade-offs are provided. We also cover the value of information and avoided cost frameworks using satellite data from the Cyanobacteria Assessment N...
Rapid assessment of Dreissena population in Lake Erie using underwater videography
(JOURNAL) [Published : May 01, 2021]
Dreissenid bivalves (Dreissena polymorpha and D. rostriformis bugensis) are considered the most aggressive freshwater invaders inflicting profound ecological and economic impacts on the waterbodies that they colonize. Severity of these impacts depends on dreissenid popu...
Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery
(JOURNAL) [Published : Sep 26, 2023]
Mapping the seagrass distribution and density in the underwater landscape can improve global Blue Carbon estimates. However, atmospheric absorption and scattering introduce errors in space-based sensors’ retrieval of sea surface reflectance, affecting seagrass presence, den...
Remote Sensing Opportunities for APNEP Monitoring
(PRESENTATION) [Presented : Sep 14, 2023]
The purpose of this report is to present information to the Division of Water Resources at the NC Department of Environmental Natural Resources (NCDENR) and the Albemarle-Pamlico National Estuary Partnership on the potential of using satellite information to identify time periods...
CyAN potential satellite monitoring of drinking water sources
(PRESENTATION) [Presented : Sep 19, 2023]
CyAN is a multi-agency project to develop an early warning indicator system to detect algal blooms in U.S. freshwater systems. This research supports federal, state, tribal, and local partners in their monitoring efforts to assess water quality to protect aquatic and human health...
Assessing potential of the Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) for water quality monitoring across the coastal United States
(JOURNAL) [Published : Nov 01, 2023]
The Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) will provide unique high temporal frequency observations of the United States coastal waters to quantify processes that vary on short temporal and spatial scales. The frequency and coverage of observations from ...
Nationwide lake classification to predict harmful algal blooms (HABs) via machine learning models
(PRESENTATION) [Presented : May 01, 2023]
Detecting and managing HABs is of high importance, with efforts moving forward for both acute management through recreational advisories and long-term management to protect designated uses. While remote sensing technology has enabled quantification of HABs at frequencies and spat...
Multiplying the impact of field data through models to identify lakes at-risk for cyanobacteria blooms
(PRESENTATION) [Presented : Aug 11, 2023]
Loss of water access due to toxin-producing cyanobacteria is a growing concern for the public and water managers across the United States. There is limited field data on cyanobacteria but predicting which waterbodies will be affected is critical for targeting monitoring and ...
Seasonality of inundation in geographically isolated wetlands across the United States
(JOURNAL) [Published : Apr 19, 2022]
Inundation area is a major control on the ecosystem services provisioned by geographically isolated wetlands. Despite its importance, there has not been any comprehensive study to map out the seasonal inundation characteristics of geographically isolated wetlands over the contine...
Mapping headwater streams and inland wetlands: status and future directions
(PRESENTATION) [Presented : Jun 08, 2023]
Headwater streams and inland wetlands are vulnerable waters that provide essential functions supporting healthy watersheds and downstream waters. The size, abundance, and hydrological variability of these systems make mapping their extent and characterizing their temporal dynamic...
Monitoring water quality of inland lakes using remote sensing. Part 2: Cyanobacteria Assessment Netork (CyAN)
(PRESENTATION) [Presented : Jul 20, 2023]
CyAN is a multi-agency project to develop an early warning indicator system to detect algal blooms in U.S. freshwater systems. This research supports federal, state, tribal, and local partners in their monitoring efforts to assess water quality to protect aquatic and human health...
Recent changes in cyanobacteria algal bloom magnitude in large lakes across the contiguous United States
(JOURNAL) [Published : Nov 01, 2023]
Cyanobacterial blooms in inland lakes produce large quantities of biomass that impact drinking water systems, recreation, and tourism and may produce toxins that can adversely affect public health. This study analyzed nine years of satellite-derived bloom records and co...
Forecasting Cyanobacteria Harmful Algal Blooms Utilizing Spatio-Temporal Integrated Nested Laplace Approximation within the Contiguous United States.
(PRESENTATION) [Presented : Apr 27, 2023]
Cyanobacterial harmful algal blooms (cyanoHABs) are detrimental not only to human and ecosystem health, but also to local economies that rely on surface water for consumption, tourism, and recreation. Previous work has been done to predict cyanoHABs in Florida at the lake and sta...
Development and Applications of Rapid Streamflow Duration Assessment Methods
(PRESENTATION) [Presented : Apr 28, 2023]
Resource managers, regulators, and regulated entities need rapid, reach-scale methods to classify streamflow duration to implement and comply with many federal, state and local programs. The U.S. Environmental Protection Agency is working cooperatively with the U.S. Army Corps of...
Satellite uses for water quality
(PRESENTATION) [Presented : Mar 16, 2023]
Satellites can be used for water quality monitoring and provide social economic benefits such as early warnings related to health and cost savings. Here, we overview satellite applications for oil spill events, seagrass habitat, and harmful algal blooms. This review covers a rang...
CyAN: Cyanobacteria Assessment Network
(PRESENTATION) [Presented : Oct 07, 2022]
The Cyanobacteria Assessment Network (CyAN) is a collaboration between EPA, NASA, NOAA, and USGS seeking to develop and mainstream remotely sensed satellite data products for cyanobacteria monitoring. Mobile and web apps allow lake managers and the public to view near-real-time d...
Pilot Study to Assess the Health Effects from Cyanobacteria Exposure using Electronic Health Record Data: Classifying Exposure
(PRESENTATION) [Presented : Oct 28, 2022]
The objective of this pilot study is to evaluate whether electronic health record (EHR) systems can be used to study respiratory effects associated with exposure to aerosolized cyanobacterial toxin exposure. We aimed to evaluate if whether we can detect an increase in healthcare ...
Earth Observations from Space
(PRESENTATION) [Presented : Aug 23, 2022]
N/A
Tracking Nutrient Trends to Emerging Harmful Algal Blooms via the Estuary Data Mapper
(PRESENTATION) [Presented : Jul 19, 2023]
Over half the U.S. population lives in coastal areas, including estuarine shorelines. Estuary Data Mapper (EDM; www.epa.gov/edm) continues to provide the infrastructure to support nationwide application of EPA data and tools for coastal environmental decision-making, including in...
Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning
(JOURNAL) [Published : Nov 20, 2023]
Harmful algal blooms of cyanobacteria (CyanoHAB) have emerged as a serious environmental concern in large and small water bodies including many inland lakes. The growth dynamics of CyanoHAB can be chaotic at very short timescales but predictable at coarser timescal...
Using satellite imagery and national surveys to identify lakes at risk for toxic cyanobacteria blooms in the U.S.
(PRESENTATION) [Presented : Jul 19, 2023]
Harmful algal blooms caused by cyanobacteria are a threat to global water resources and human health. Satellite remote sensing has vastly expanded spatial and temporal data on lake cyanobacteria, yet there is still acute need for tools that identify which waterbodies are at-risk ...