Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco - Mexico.
Freddy Hernan Villota-GonzalezBelkis Sulbaran-RangelFlorentina Zurita-MartínezKelly Joel Gurubel-TunVirgilio Zúñiga GrajedaPublished in: Remote. Sens. (2023)
Keyphrases
- remote sensing
- water quality
- machine learning models
- satellite data
- change detection
- spam filtering
- satellite images
- remote sensing images
- multispectral
- machine learning approaches
- high resolution
- machine learning algorithms
- climate change
- water treatment
- remote sensing data
- image processing
- remote sensing imagery
- hyperspectral
- image analysis
- earth observation
- land cover
- digital image analysis
- high spatial resolution
- satellite imagery
- measured data
- machine learning
- hyperspectral images
- automatic image registration
- geographical information systems
- predictive model
- learning models
- quality assessment
- artificial neural networks
- pattern recognition
- hyperspectral remote sensing
- remote sensed images
- multi spectral images
- remotely sensed data