Remotely assessing and monitoring coastal and inland water quality in China: Progress, challenges and outlook

Y Xiong, Y Ran, S Zhao, H Zhao… - Critical reviews in …, 2020 - Taylor & Francis
China faces increasingly serious water scarcity due to the uneven distribution of available
water resources, rapid economic development, and water pollution. The current war on …

A machine learning approach to estimate surface ocean pCO2 from satellite measurements

S Chen, C Hu, BB Barnes, R Wanninkhof… - Remote Sensing of …, 2019 - Elsevier
Surface seawater partial pressure of CO 2 (pCO 2) is a critical parameter in the
quantification of air-sea CO 2 flux, which further plays an important role in quantifying the …

Classification of algal bloom species from remote sensing data using an extreme gradient boosted decision tree model

JG Ghatkar, RK Singh… - International Journal of …, 2019 - Taylor & Francis
Coastal and open ocean regions throughout the world are now subject to an array of toxic,
harmful, or more intense algal blooms with an increasing trend of incidence over large …

Remote analysis of the chlorophyll-a concentration using Sentinel-2 MSI images in a semiarid environment in Northeastern Brazil

TRBT Aranha, JM Martinez, EP Souza, MUG Barros… - Water, 2022 - mdpi.com
In this paper, the authors use remote-sensing images to monitor the water quality of
reservoirs located in the semiarid region of Northeast Brazil. Sentinel-2 MSI TOA Level 1C …

Long-term water quality assessment in coastal and inland waters: An ensemble machine-learning approach using satellite data

M Karthick, P Shanmugam, GS Kumar - Marine Pollution Bulletin, 2024 - Elsevier
Accurate estimation of coastal and in-land water quality parameters is important for
managing water resources and meeting the demand of sustainable development goals. The …

Fuzzy-based global water quality assessment and water quality cells identification using satellite data

J Dilipkumar, P Shanmugam - Marine Pollution Bulletin, 2023 - Elsevier
The water environmental impact assessment and management programs increasingly rely
on accurate and quantitative estimates of water quality parameters through remote sensing …

[PDF][PDF] Research progress in the retrieval algorithms for chlorophyll-a, a key element of water quality monitoring by remote sensing

J Luo, L Qin, P Mao, Y Xiong, W Zhao, H Gao… - Remote Sensing …, 2021 - rsta.ac.cn
Chlorophyll-a concentration is an important proxy for defining the tropic status of various
bodies of water. Using remote sensing technology to retrieve chlorophyll-a concentration is …

Spatial Variability of In Situ Above-Water Reflectance in Coastal Dynamic Waters: Implications for Satellite Match-Up Analysis

HJ Nasiha, Z Wang, F Giannini… - Frontiers in Remote …, 2022 - frontiersin.org
The validation of ocean color satellite retrievals generally relies on analyzing match-ups
between in situ measurements and satellite retrievals. These analyses focus on the quality …

UV-NIR approach with non-zero water-leaving radiance approximation for atmospheric correction of satellite imagery in inland and coastal zones

RK Singh, P Shanmugam, X He, T Schroeder - Optics Express, 2019 - opg.optica.org
In the atmospheric correction process of the satellite ocean color data, the removal of the
aerosol scattering contribution over the coastal and inland water bodies has been a major …

Novel method for reconstruction of hyperspectral resolution images from multispectral data for complex coastal and inland waters

S Banerjee, P Shanmugam - Advances in Space Research, 2021 - Elsevier
Hyperspectral resolution image products of a synthetic sensor featuring the high spatial
resolution of the space-borne sensor can offer cost-effective means for enhancing our …