Water pollution has become one of the most serious issues threatening water environments,
water as a resource and human health. The most urgent and effective measures rely on …

Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …

Remotely sensed data can reinforce the abilities of water resources researchers and
decision makers to monitor waterbodies more effectively. Remote sensing techniques have …

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 …

Algorithms based on reflectance band ratios have been developed for the remote estimation
of chlorophyll a, chlorophyll b, chlorophyll a+ b, and total carotenoid content of Eucalyptus …

Determination of subsurface spectral irradiance reflectance by use of a hand-held
spectroradiometer and then estimation of chlorophyll a (Chl-a) concentration facilitate …

Retrieval of aquatic biogeochemical variables, such as the near-surface concentration of
chlorophyll-a (Chl a) in inland and coastal waters via remote observations, has long been …

Reservoirs are artificial environments built by humans, and the impacts of these
environments are not completely known. Retention time and high nutrient availability in the …

Unmanned aircraft systems (UASs) are proposed as a useful alternative to manned aircraft
for some aerial wildlife surveys. We described the components and current capabilities of a …

We compared 10 established and 2 new satellite reflectance algorithms for estimating
chlorophyll-a (Chl-a) in a temperate reservoir in southwest Ohio using coincident …