Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research
M Ashphaq, PK Srivastava, D Mitra - Journal of Ocean Engineering and …, 2021 - Elsevier
The number of civilian, commercial and military applications are dependant on accurate
knowledge of bathymetry of coastal regions. Conventionally, hydrographic surveying …
knowledge of bathymetry of coastal regions. Conventionally, hydrographic surveying …
Living up to the hype of hyperspectral aquatic remote sensing: science, resources and outlook
Intensifying pressure on global aquatic resources and services due to population growth
and climate change is inspiring new surveying technologies to provide science-based …
and climate change is inspiring new surveying technologies to provide science-based …
AquaSat: A data set to enable remote sensing of water quality for inland waters
Satellite estimates of inland water quality have the potential to vastly expand our ability to
observe and monitor the dynamics of large water bodies. For almost 50 years, we have been …
observe and monitor the dynamics of large water bodies. For almost 50 years, we have been …
[HTML][HTML] Validation and comparison of water quality products in baltic lakes using sentinel-2 msi and sentinel-3 OLCI data
Inland waters, including lakes, are one of the key points of the carbon cycle. Using remote
sensing data in lake monitoring has advantages in both temporal and spatial coverage over …
sensing data in lake monitoring has advantages in both temporal and spatial coverage over …
[HTML][HTML] Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: a review
N Gnann, B Baschek, TA Ternes - Water Research, 2022 - Elsevier
Detection and identification of macroplastic debris in aquatic environments is crucial to
understand and counter the growing emergence and current developments in distribution …
understand and counter the growing emergence and current developments in distribution …
[HTML][HTML] Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods
Abstract Dissolved Organic Carbon (DOC) in inland waters plays an essential role in the
global carbon cycle and has significant public health effects. Machine learning (ML) together …
global carbon cycle and has significant public health effects. Machine learning (ML) together …
A review of carbon monitoring in wet carbon systems using remote sensing
Carbon monitoring is critical for the reporting and verification of carbon stocks and change.
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
Water quality assessment of the Ganges River during COVID-19 lockdown
Ganges River water quality was assessed to record the changes due to the nation-wide
pandemic lockdown. Satellite-based (Sentinel-2) water quality analysis before and during …
pandemic lockdown. Satellite-based (Sentinel-2) water quality analysis before and during …
[HTML][HTML] Deep learning detection of types of water-bodies using optical variables and ensembling
Water features are one of the most crucial environmental elements for strengthening climate-
change adaptation. Remote sensing (RS) technologies driven by artificial intelligence (AI) …
change adaptation. Remote sensing (RS) technologies driven by artificial intelligence (AI) …
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
Recent advances in remote sensing techniques provide a new horizon for monitoring the
spatiotemporal variations of harmful algal blooms (HABs) using hyperspectral data in inland …
spatiotemporal variations of harmful algal blooms (HABs) using hyperspectral data in inland …