Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China

Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China

Monitoring the water pollution level in real time is the most critical issue for protecting the water quality of water reservoirs. Due to the restrictions on flight areas of Unmanned Arial Vehicles (UAV), four sensitive regions with the area of 1–2 km2 were first selected in this study based on the...

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Bibliographic Details
Main Authors: Huijie, X. (Author), Lidan, X. (Author), Meilin, W. (Author), Qun'ou, J. (Author), Siyang, S. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Adaptive boosting
Bayesian networks
Beijing [China]
China
Concentration change
Concentration retrieval
Decision tree regression
Decision trees
Dimensionality reduction
Landsat
Learning systems
machine learning
Machine learning algorithm
Miyun Reservoir
Miyun reservoir , China
Neural networks
nitrogen
Nitrogen
reaction kinetics
real time
Remote sensing
remotely operated vehicle
Reservoir management
Reservoirs (water)
Retrieval model
River pollution
Rural areas
Scientific references
Spatial distribution
Spatial heterogeneity
Support vector machines
Support vector regression
Total nitrogen concentration
UAV hyper spectral remote sensing data
Unmanned aerial vehicles (UAV)
water pollution
Water pollution levels
water quality
Water quality
Water quality monitoring
Water quality parameter
Online Access:View Fulltext in Publisher

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