[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
Recent advances in information and communications technology (ICT) and sensor technology for monitoring water quality
Water quality control and management in water resources are important for providing clean
and safe water to the public. Due to their large area, collection, analysis, and management …
and safe water to the public. Due to their large area, collection, analysis, and management …
[HTML][HTML] A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery
Remote sensing is useful for detecting and quantifying cyanobacteria blooms for managing
water systems. In particular, airborne hyperspectral remote sensing has an advantage in …
water systems. In particular, airborne hyperspectral remote sensing has an advantage in …
Satellites for long-term monitoring of inland US lakes: The MERIS time series and application for chlorophyll-a
Lakes and other surface fresh waterbodies provide drinking water, recreational and
economic opportunities, food, and other critical support for humans, aquatic life, and …
economic opportunities, food, and other critical support for humans, aquatic life, and …
Measurement of cyanobacterial bloom magnitude using satellite remote sensing
Cyanobacterial harmful algal blooms (cyanoHABs) are a serious environmental, water
quality and public health issue worldwide because of their ability to form dense biomass and …
quality and public health issue worldwide because of their ability to form dense biomass and …
Improved prediction of harmful algal blooms in four Major South Korea's Rivers using deep learning models
S Lee, D Lee - International journal of environmental research and …, 2018 - mdpi.com
Harmful algal blooms are an annual phenomenon that cause environmental damage,
economic losses, and disease outbreaks. A fundamental solution to this problem is still …
economic losses, and disease outbreaks. A fundamental solution to this problem is still …
[HTML][HTML] Improved red-edge chlorophyll-a detection for Sentinel 2
Abstract Chlorophyll-a (chl-a) concentration is an indicator of algal biomass. The Sentinel 2
platform offers greatly improved spatial resolution over other satellite platforms designed for …
platform offers greatly improved spatial resolution over other satellite platforms designed for …
Exploring the potential value of satellite remote sensing to monitor chlorophyll-a for US lakes and reservoirs
M Papenfus, B Schaeffer, AI Pollard, K Loftin - … Monitoring and Assessment, 2020 - Springer
Assessment of chlorophyll-a, an algal pigment, typically measured by field and laboratory in
situ analyses, is used to estimate algal abundance and trophic status in lakes and …
situ analyses, is used to estimate algal abundance and trophic status in lakes and …
Considerations in harmful algal bloom research and monitoring: perspectives from a consensus-building workshop and technology testing
BA Stauffer, HA Bowers, E Buckley… - Frontiers in Marine …, 2019 - frontiersin.org
Recurrent blooms of harmful algae and cyanobacteria (HABs) plague many coastal and
inland waters throughout the United States and have significant socioeconomic impacts to …
inland waters throughout the United States and have significant socioeconomic impacts to …