Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing data.
Deep Prakash SarkarB. Uma ShankarBikash Ranjan ParidaPublished in: Ecol. Informatics (2022)
Keyphrases
- remote sensing data
- machine learning
- land cover
- remote sensing
- multispectral
- remote sensing images
- supervised classification
- hyperspectral
- earth observation
- pattern recognition
- remotely sensed data
- change detection
- data mining
- land cover classification
- hyperspectral images
- satellite images
- decision trees
- feature selection
- software development
- supervised learning
- data analysis
- unsupervised learning
- natural language processing
- active learning
- learning algorithm
- watershed segmentation
- remotely sensed images
- databases
- model selection
- computer vision
- image segmentation
- training data
- text classification