A review of remote sensing for water quality retrieval: progress and challenges
H Yang, J Kong, H Hu, Y Du, M Gao, F Chen - Remote Sensing, 2022 - mdpi.com
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 …
water as a resource and human health. The most urgent and effective measures rely on …
Remote sensing big data for water environment monitoring: current status, challenges, and future prospects
J Chen, S Chen, R Fu, D Li, H Jiang, C Wang… - Earth's …, 2022 - Wiley Online Library
Accurate water extraction and quantitative estimation of water quality are two key and
challenging issues for remote sensing of water environment. Recent advances in remote …
challenging issues for remote sensing of water environment. Recent advances in remote …
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3
Constructing multi-source satellite-derived water quality (WQ) products in inland and
nearshore coastal waters from the past, present, and future missions is a long-standing …
nearshore coastal waters from the past, present, and future missions is a long-standing …
[HTML][HTML] Remote estimates of suspended particulate matter in global lakes using machine learning models
Suspended particulate matter (SPM) in lakes exerts strong impact on light propagation,
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …
Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications
Remote sensing approaches to measuring inland water quality date back nearly 50 years to
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …
Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm
Lake eutrophication has attracted the attention of the government and general public.
Chlorophyll-a (Chl-a) is a key indicator of algal biomass and eutrophication. Many efforts …
Chlorophyll-a (Chl-a) is a key indicator of algal biomass and eutrophication. Many efforts …
Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery
Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral
resolutions, and provides an opportunity for accurate and efficient inland water qauality …
resolutions, and provides an opportunity for accurate and efficient inland water qauality …
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations
The eutrophication problems in lakes on the Yangtze Plain of China have attracted global
concern. However, a comprehensive assessment of the eutrophication status and its …
concern. However, a comprehensive assessment of the eutrophication status and its …
Multi-sensor and multi-platform retrieval of water chlorophyll a concentration in karst wetlands using transfer learning frameworks with ASD, UAV, and Planet …
China has one of the widest distributions of carbonate rocks in the world. Karst wetland is a
special and important ecosystem of carbonate rock regions. Chlorophyll-a (Chla) …
special and important ecosystem of carbonate rock regions. Chlorophyll-a (Chla) …
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters
N Pahlevan, B Smith, C Binding, D Gurlin, L Li… - Remote Sensing of …, 2021 - Elsevier
Following more than two decades of research and developments made possible through
various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that …
various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that …