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A review of remote sensing applications for water security: Quantity, quality, and extremes
Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …
and climate change, it is imperative to assess the security of these resources. Over the past …
The re-eutrophication of Lake Erie: Harmful algal blooms and hypoxia
Lake Erie supplies drinking water to more than 11 million consumers, processes millions of
gallons of wastewater, provides important species habitat and supports a substantial …
gallons of wastewater, provides important species habitat and supports a substantial …
Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions
Aquatic color radiometry remote sensing of coastal and inland water bodies is of great
interest to a wide variety of research, management, and commercial entities as well as the …
interest to a wide variety of research, management, and commercial entities as well as the …
Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges
Timely monitoring, detection and quantification of cyanobacterial blooms are especially
important for controlling public health risks and understanding aquatic ecosystem dynamics …
important for controlling public health risks and understanding aquatic ecosystem dynamics …
Using satellite imagery to quantify the spatial patterns of cyanobacterial toxins has several
challenges. These challenges include the need for surrogate pigments–since cyanotoxins …
challenges. These challenges include the need for surrogate pigments–since cyanotoxins …
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 …
An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters
TS Moore, MD Dowell, S Bradt, AR Verdu - Remote sensing of environment, 2014 - Elsevier
Bio-optical models are based on relationships between the spectral remote sensing
reflectance and optical properties of in-water constituents. The wavelength range where this …
reflectance and optical properties of in-water constituents. The wavelength range where this …
Status, causes and controls of cyanobacterial blooms in Lake Erie
Abstract The Laurentian Great Lakes are among the most prominent sources of fresh water
in the world. Lake Erie's infamous cyanobacterial blooms have, however, threatened the …
in the world. Lake Erie's infamous cyanobacterial blooms have, however, threatened the …
A machine learning and remote sensing‐based model for algae pigment and dissolved oxygen retrieval on a small inland lake
Excessive algae growth can lead to negative consequences for ecosystem function,
economic opportunity, and human and animal health. Due to the cost‐effectiveness and …
economic opportunity, and human and animal health. Due to the cost‐effectiveness and …
A new approach to monitor water quality in the Menor sea (Spain) using satellite data and machine learning methods
The Menor sea is a coastal lagoon declared by the European Union as a sensitive area to
eutrophication due to human activities. To control the deterioration of its water quality, it is …
eutrophication due to human activities. To control the deterioration of its water quality, it is …