A dive into underwater solar cells
Our oceans are vast, mostly unexplored and difficult to monitor. Large-scale implementation
of a fully autonomous 'Internet of Underwater Things' would transform how we collect and …
of a fully autonomous 'Internet of Underwater Things' would transform how we collect and …
Estimation of chlorophyll-a concentration and the trophic state of the Barra Bonita hydroelectric reservoir using OLI/Landsat-8 images
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 …
environments are not completely known. Retention time and high nutrient availability in the …
Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters
S Mudiyanselage, A Abd-Elrahman… - GIScience & Remote …, 2022 - Taylor & Francis
This study examines the use of the Multi-Spectral Instrument (MSI) in Sentinel-2 satellite in
combination with regression-based random forest models to estimate bathymetry along the …
combination with regression-based random forest models to estimate bathymetry along the …
A harmonized image processing workflow using Sentinel-2/MSI and Landsat-8/OLI for mapping water clarity in optically variable lake systems
This study demonstrates the applicability of harmonizing Sentinel-2 MultiSpectral Imager
(MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the …
(MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the …
Satellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales
Cyanobacterial blooms can have negative effects on human health and local ecosystems.
Field monitoring of cyanobacterial blooms can be costly, but satellite remote sensing has …
Field monitoring of cyanobacterial blooms can be costly, but satellite remote sensing has …
[HTML][HTML] Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales
Previous studies indicate that cyanobacterial harmful algal bloom (cyanoHAB) frequency,
extent, and magnitude have increased globally over the past few decades. However, little …
extent, and magnitude have increased globally over the past few decades. However, little …
A remote sensing and machine learning-based approach to forecast the onset of harmful algal bloom
In the last few decades, harmful algal blooms (HABs, also known as “red tides”) have
become one of the most detrimental natural phenomena in Florida's coastal areas. Karenia …
become one of the most detrimental natural phenomena in Florida's coastal areas. Karenia …
Assessing cyanobacterial frequency and abundance at surface waters near drinking water intakes across the United States
MM Coffer, BA Schaeffer, K Foreman, A Porteous… - Water research, 2021 - Elsevier
This study presents the first large-scale assessment of cyanobacterial frequency and
abundance of surface water near drinking water intakes across the United States. Public …
abundance of surface water near drinking water intakes across the United States. Public …
Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA
CJ Legleiter, LR Harrison - Water Resources Research, 2019 - Wiley Online Library
Remote sensing has become an increasingly viable tool for characterizing fluvial systems. In
this study, we used field measurements with a 1.6‐km reach of the upper Sacramento River …
this study, we used field measurements with a 1.6‐km reach of the upper Sacramento River …
[PDF][PDF] Efficiency limits of underwater solar cells
Operation of underwater vehicles and autonomous systems is currently limited by the lack of
long-lasting power sources. These systems could potentially be powered using underwater …
long-lasting power sources. These systems could potentially be powered using underwater …