Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques.
Salman A. H. SelmyDmitry KucherGintautas MozgerisAli R. A. MoursyRaimundo Jimenez-BallestaOlga D. KucherMohamed E. FadlAbdel-rahman A. MustafaPublished in: Remote. Sens. (2023)
Keyphrases
- land cover
- hybrid model
- geographic information systems
- remote sensing
- multispectral
- remote sensing images
- change detection
- land cover classification
- artificial neural networks
- satellite images
- cellular automata
- spatial relationships
- remote sensing data
- urban growth
- supervised classification
- spatial data
- image analysis
- urban areas
- support vector regression
- support vector machine svm
- spatial databases
- data modeling
- data sets
- data mining
- support vector
- database management
- computer vision
- road network
- pattern recognition
- image regions
- databases
- infrared
- k nearest neighbor
- image data