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 …
[HTML][HTML] Satellite retrievals of water quality for diverse inland waters from Sentinel-2 images: An example from Zhejiang Province, China
Due to its advantages of high spatiotemporal resolution, long-term stable observation, and
historical retrospective data, satellite remote sensing has extensive application in the …
historical retrospective data, satellite remote sensing has extensive application in the …
Potential impacts of climate change on water resources in the Kunhar River Basin, Pakistan
Pakistan is one of the most highly water-stressed countries in the world and its water
resources are greatly vulnerable to changing climatic conditions. The present study …
resources are greatly vulnerable to changing climatic conditions. The present study …
Impact of rapid urbanization on the threshold effect in the relationship between impervious surfaces and water quality in shanghai, China
Z Wang, S Zhang, Y Peng, C Wu, Y Lv, K Xiao… - Environmental …, 2020 - Elsevier
The threshold effect in the relationship between impervious surfaces and water quality has
been a focus in past decades, but little attention has been paid to how the threshold effect …
been a focus in past decades, but little attention has been paid to how the threshold effect …
Impacts of future climate change on river discharge based on hydrological inference: A case study of the Grand River Watershed in Ontario, Canada
Over the recent years, climate change impacts have been increasingly studied at the
watershed scale. However, the impact assessment is strongly dependent upon the …
watershed scale. However, the impact assessment is strongly dependent upon the …
Assessment of parameter uncertainty in hydrological model using a Markov-Chain-Monte-Carlo-based multilevel-factorial-analysis method
Without a realistic assessment of parameter uncertainty, decision makers may encounter
difficulties in accurately describing hydrologic processes and assessing relationships …
difficulties in accurately describing hydrologic processes and assessing relationships …
[HTML][HTML] Ensemble projections of regional climatic changes over Ontario, Canada
In this study, high-resolution climate projections over Ontario, Canada, are developed
through an ensemble modeling approach to provide reliable and ready-to-use climate …
through an ensemble modeling approach to provide reliable and ready-to-use climate …
Urban sprawl and covid-19 impact analysis by integrating deep learning with google earth engine
Timely information on land use, vegetation coverage, and air and water quality, are crucial
for monitoring and managing territories, especially for areas in which there is dynamic urban …
for monitoring and managing territories, especially for areas in which there is dynamic urban …
A two-stage fuzzy chance-constrained water management model
In this study, an inexact two-stage fuzzy gradient chance-constrained programming
(ITSFGP) method is developed and applied to the water resources management in the …
(ITSFGP) method is developed and applied to the water resources management in the …