A Novel Approach Based on Machine Learning and Public Engagement to Predict Water-Scarcity Risk in Urban Areas.
Sadeq Khaleefah HanoonAhmad Fikri AbdullahHelmi Z. M. ShafriAimrun WayayokPublished in: ISPRS Int. J. Geo Inf. (2022)
Keyphrases
- urban areas
- machine learning
- aerial images
- high resolution satellite images
- rural areas
- satellite images
- geographic information systems
- travel time
- urban planning
- pattern recognition
- remote sensing images
- traffic congestion
- high resolution aerial images
- data analysis
- computer vision
- data mining
- remote sensing
- databases