Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study.
Valeriy ShevchenkoAleksandr LukashevichDaria TaniushkinaAlexander BulkinRoland GrinisKirill KovalevVeronika NarozhnaiaNazar SotiriadiAlexander KrenkeYury MaximovPublished in: IEEE Access (2024)
Keyphrases
- climate change
- machine learning
- case study
- land cover change
- land cover
- land use change
- change detection
- computer simulation
- remote sensing
- supervised classification
- climate data
- global climate change
- multispectral
- data analysis
- greenhouse gases
- data mining
- remote sensing images
- pattern recognition
- computational intelligence
- satellite images
- information systems
- computer vision
- learning algorithm
- fossil fuels
- supervised learning
- decision making