UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble Machine Learning Algorithms - A Case Study of the Zhanghe River, China.
Yi XiaoYahui GuoGuodong YinXuan ZhangYu ShiFanghua HaoYongshuo FuPublished in: Remote. Sens. (2022)
Keyphrases
- water quality
- machine learning algorithms
- multispectral
- learning algorithm
- random forests
- benchmark data sets
- remote sensing
- remote sensing images
- satellite images
- machine learning methods
- machine learning
- multispectral images
- multi band
- learning problems
- decision trees
- image data
- water treatment
- hyperspectral
- spatial resolution
- machine learning approaches
- image analysis
- measured data
- multispectral satellite images
- water resources
- remote sensing data
- land cover
- ensemble methods
- feature selection
- hyperspectral images
- urban areas
- monitoring system
- machine learning models
- spectral bands
- spectral characteristics
- training set
- water level
- training data
- color images
- multispectral imaging
- satellite data
- feature extraction
- spectral images
- data sets
- computer vision
- standard machine learning algorithms