A review of remote sensing applications for water security: Quantity, quality, and extremes

I Chawla, L Karthikeyan, AK Mishra - Journal of Hydrology, 2020 - Elsevier
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 …

The re-eutrophication of Lake Erie: Harmful algal blooms and hypoxia

SB Watson, C Miller, G Arhonditsis, GL Boyer… - Harmful algae, 2016 - Elsevier
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 …

Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions

CB Mouw, S Greb, D Aurin, PM DiGiacomo… - Remote sensing of …, 2015 - Elsevier
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 …

Measurement of cyanobacterial bloom magnitude using satellite remote sensing

S Mishra, RP Stumpf, BA Schaeffer, PJ Werdell… - Scientific reports, 2019 - nature.com
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 …

Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges

K Shi, Y Zhang, B Qin, B Zhou - Science Bulletin, 2019 - Elsevier
Timely monitoring, detection and quantification of cyanobacterial blooms are especially
important for controlling public health risks and understanding aquatic ecosystem dynamics …

Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria

RP Stumpf, TW Davis, TT Wynne, JL Graham, KA Loftin… - Harmful algae, 2016 - Elsevier
Using satellite imagery to quantify the spatial patterns of cyanobacterial toxins has several
challenges. These challenges include the need for surrogate pigments–since cyanotoxins …

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 …

Status, causes and controls of cyanobacterial blooms in Lake Erie

MM Steffen, BS Belisle, SB Watson, GL Boyer… - Journal of Great Lakes …, 2014 - Elsevier
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 …

A new approach to monitor water quality in the Menor sea (Spain) using satellite data and machine learning methods

D Gómez, P Salvador, J Sanz, JL Casanova - Environmental Pollution, 2021 - Elsevier
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 …

Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data

S Mishra, RP Stumpf, B Schaeffer, PJ Werdell… - Science of The Total …, 2021 - Elsevier
Widespread occurrence of cyanobacterial harmful algal blooms (CyanoHABs) and the
associated health effects from potential cyanotoxin exposure has led to a need for …