Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study.
Valeriy ShevchenkoDaria TaniushkinaAleksandr LukashevichAleksander BulkinRoland GrinisKirill KovalevVeronika NarozhnaiaNazar SotiriadiAlexander KrenkeYury MaximovPublished in: CoRR (2023)
Keyphrases
- climate change
- machine learning
- case study
- land cover
- land cover change
- land use change
- global climate change
- remote sensing
- supervised classification
- climate data
- multispectral
- computer simulation
- fossil fuels
- active learning
- supervised learning
- pattern recognition
- learning algorithm
- information systems
- greenhouse gases
- low cost
- remote sensing images
- critical infrastructure
- computer vision
- data mining
- real world