Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
A critical and intensive review on assessment of water quality parameters through geospatial techniques
Abstract Evaluation of water quality is a priority work nowadays. In order to monitor and map,
the water quality for a wide range on different scales (spatial, temporal), the geospatial …
the water quality for a wide range on different scales (spatial, temporal), the geospatial …
Surface water quality assessment through remote sensing based on the box–cox transformation and linear regression
A methodology to estimate surface water quality using remote sensing is presented based
on Landsat satellite imagery and in situ measurements taken every six months at four …
on Landsat satellite imagery and in situ measurements taken every six months at four …
Deep learning-based water quality retrieval in an impounded lake using landsat 8 imagery: An application in Dong** lake
Attempts have been made to incorporate remote sensing techniques and in situ
observations for enhanced water quality assessments. Estimations of nonoptical indicators …
observations for enhanced water quality assessments. Estimations of nonoptical indicators …
Spatiotemporal variability of lake water quality in the context of remote sensing models
This study demonstrates a number of methods for using field sampling and observed lake
characteristics and patterns to improve techniques for development of algae remote sensing …
characteristics and patterns to improve techniques for development of algae remote sensing …
Multi-reservoir water quality map** from remote sensing using spatial regression
Regional water quality map** is the key practical issue in environmental monitoring.
Global regression models transform measured spectral image data to water quality …
Global regression models transform measured spectral image data to water quality …
LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools
Remote-sensing data are used extensively to monitor water quality parameters such as
clarity, temperature, and chlorophyll-a (chl-a) content. This is generally achieved by …
clarity, temperature, and chlorophyll-a (chl-a) content. This is generally achieved by …
Monitoring the spatial distribution of water quality of an urban stormwater pond using satellite images
Stormwater ponds play a critical role in managing urban runoff and mitigating the impact of
pollutants on receiving water bodies. This study investigates the potential of remote sensing …
pollutants on receiving water bodies. This study investigates the potential of remote sensing …
Monitoring water quality in a hypereutrophic reservoir using Landsat ETM+ and OLI sensors: how transferable are the water quality algorithms?
The launch of the Landsat 8 in February 2013 extended the life of the Landsat program to
over 40 years, increasing the value of using Landsat to monitor long-term changes in the …
over 40 years, increasing the value of using Landsat to monitor long-term changes in the …
[HTML][HTML] Análisis multiespectral para la estimación de la turbidez como indicador de la calidad del agua en embalses del estado de Chihuahua, México
J Amado-Alvarez, P Pérez-Cutillas… - Revista geográfica de …, 2019 - scielo.sa.cr
La cuenca del río Conchos, situada en el Estado de Chihuahua (México), ha sufrido un
notable deterioro por el desarrollo de las actividades humanas. El crecimiento urbano, la …
notable deterioro por el desarrollo de las actividades humanas. El crecimiento urbano, la …