[PDF][PDF] Comprehensive Review on Application of Machine Learning Algorithms for Water Quality Parameter Estimation Using Remote Sensing Data.

N Wagle, TD Acharya, DH Lee - Sensors & Materials, 2020 - sensors.myu-group.co.jp
Water is an integral aspect of the world necessary for living creatures to thrive. Owing to
unplanned urbanization, rapid industrialization, and uncontrollable human intervention …

Combining pixel-and object-based machine learning for identification of water-body types from urban high-resolution remote-sensing imagery

X Huang, C **e, X Fang, L Zhang - IEEE Journal of Selected …, 2015 - ieeexplore.ieee.org
Water is one of the vital components for the ecological environment, which plays an
important role in human survival and socioeconomic development. Water resources in urban …

Multi scale feature extraction network with machine learning algorithms for water body extraction from remote sensing images

R Nagaraj, LS Kumar - International Journal of Remote Sensing, 2022 - Taylor & Francis
ABSTRACT Water Body Extraction (WBE) is a challenging task in remote sensing, owing to
the complexity of recognizing surface body objects with rich texture, spatial, spectral …

Optimal band selection for airborne hyperspectral imagery to retrieve a wide range of cyanobacterial pigment concentration using a data-driven approach

W Jang, Y Park, JC Pyo, S Park, J Kim, JH Kim… - Remote Sensing, 2022 - mdpi.com
Understanding the concentration and distribution of cyanobacteria blooms is an important
aspect of managing water quality problems and protecting aquatic ecosystems. Airborne …

An Approach for Monitoring Chlorophyll-A and Turbidity Levels in Saduperi and Kaveripakkam Lakes Located in and Around Vellore Region, Tamil Nadu, India, Using …

M Raghul, P Porchelvan - Journal of the Indian Society of Remote …, 2024 - Springer
The paper examines the levels of Chlorophyll-a and turbidity in lake water, which are
essential indicators of freshwater ecosystem health. These parameters, indicative of algal …

Research on water body extraction from Gaofen-3 imagery based on polarimetric decomposition and machine learning

X Qin, J Yang, P Li, W Sun - IGARSS 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The quick and accurate extraction of water bodies from images is imperative for land
resources management, ecological protection, and flood disaster prevention. However, the …