Using an optimized soil and water assessment tool by deep belief networks to evaluate the impact of land use and climate change on water resources.
Honghao WangMajid KhayatnezhadNaser YoussefiPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- water resources
- climate change
- assessment tool
- water supply
- deep belief networks
- land cover
- water quality
- remote sensing
- management system
- river basin
- land use change
- scientific data
- learning experience
- economic development
- unsupervised learning
- information services
- image processing
- deep learning
- restricted boltzmann machine
- learning algorithm
- measured data
- learning environment
- satellite images
- neural network
- urban areas
- supervised classification
- geographic information systems
- change detection
- multispectral
- decision support system