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 comprehensive review on water quality parameters estimation using remote sensing techniques
MH Gholizadeh, AM Melesse, L Reddi - Sensors, 2016 - mdpi.com
Remotely sensed data can reinforce the abilities of water resources researchers and
decision makers to monitor waterbodies more effectively. Remote sensing techniques have …
decision makers to monitor waterbodies more effectively. Remote sensing techniques have …
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
Abstract Landsat-8 Operational Land Imager (OLI) provides an opportunity to map
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications
Remote sensing approaches to measuring inland water quality date back nearly 50 years to
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …
A review of remote sensing applications for water security: Quantity, quality, and extremes
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 …
and climate change, it is imperative to assess the security of these resources. Over the past …
Remote sensing of inland waters: Challenges, progress and future directions
Monitoring and understanding the physical, chemical and biological status of global inland
waters are immensely important to scientists and policy makers alike. Whereas conventional …
waters are immensely important to scientists and policy makers alike. Whereas conventional …
Remote sensing estimation of water clarity for various lakes in China
Water clarity (expressed as Secchi disk depth (SDD)) reflects light transmission capacity of a
water body and influences growth of aquatic plants, aquatic organisms, and primary …
water body and influences growth of aquatic plants, aquatic organisms, and primary …
[HTML][HTML] A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
Review of constituent retrieval in optically deep and complex waters from satellite imagery
We provide a comprehensive overview of water constituent retrieval algorithms and
underlying definitions and models for optically deep and complex (ie case 2) waters using …
underlying definitions and models for optically deep and complex (ie case 2) waters using …
Remote sensing techniques to assess water quality
JC Ritchie, PV Zimba, JH Everitt - … engineering & remote …, 2003 - ingentaconnect.com
Remote sensing techniques can be used to monitor water quality parameters (ie, suspended
sediments (turbidity), chlorophyll, and temperature). Optical and thermal sensors on boats …
sediments (turbidity), chlorophyll, and temperature). Optical and thermal sensors on boats …