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 …

[HTML][HTML] A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and …

D Blondeau-Patissier, JFR Gower, AG Dekker… - Progress in …, 2014 - Elsevier
The need for more effective environmental monitoring of the open and coastal ocean has
recently led to notable advances in satellite ocean color technology and algorithm research …

Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms

S Tian, H Guo, W Xu, X Zhu, B Wang, Q Zeng… - … Science and Pollution …, 2023 - Springer
Remote sensing has long been an effective method for water quality monitoring because of
its advantages such as high coverage and low consumption. For non-optically active …

Ocean water quality monitoring using remote sensing techniques: A review

F Mohseni, F Saba, SM Mirmazloumi, M Amani… - Marine environmental …, 2022 - Elsevier
Abstract Ocean Water Quality (OWQ) monitoring provides insights into the quality of water in
marine and near-shore environments. OWQ measurements can contain the physical …

Barriers to adopting satellite remote sensing for water quality management

BA Schaeffer, KG Schaeffer, D Keith… - … Journal of Remote …, 2013 - Taylor & Francis
Sustainable practices require a long-term commitment to creating solutions to
environmental, social, and economic issues. The most direct way to ensure that …

Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive

H Guo, S Tian, JJ Huang, X Zhu, B Wang… - ISPRS Journal of …, 2022 - Elsevier
Remote sensing provides full-coverage and dynamic water quality monitoring with high
efficiency and low consumption. Deep learning (DL) has been progressively used in water …

Using self-organizing map for coastal water quality classification: Towards a better understanding of patterns and processes

T Li, G Sun, C Yang, K Liang, S Ma, L Huang - Science of the Total …, 2018 - Elsevier
Self-organizing map (SOM) was used to explore the spatial characteristics of water quality in
the middle and southern Fujian coastal area. Nineteen water quality variables (temperature …

Enhanced Southern Ocean marine productivity due to fertilization by giant icebergs

LPAM Duprat, GR Bigg, DJ Wilton - Nature Geoscience, 2016 - nature.com
Primary productivity is enhanced within a few kilometres of icebergs in the Weddell Sea,
owing to the input of terrigeneous nutrients and trace elements during iceberg melting …

Coastal marine eutrophication assessment: a review on data analysis

D Kitsiou, M Karydis - Environment international, 2011 - Elsevier
A wide variety of data analysis techniques have been applied for quantitative assessment of
coastal marine eutrophication. Indicators for assessing eutrophication and frequency …

[HTML][HTML] Retrieval of water quality from UAV-borne hyperspectral imagery: A comparative study of machine learning algorithms

Q Lu, W Si, L Wei, Z Li, Z Xia, S Ye, Y Xia - Remote Sensing, 2021 - mdpi.com
The rapidly increasing world population and human activities accelerate the crisis of the
limited freshwater resources. Water quality must be monitored for the sustainability of …