A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data.
Esmaeil AbdaliMohammad Javad Valadan ZoejAlireza Taheri DehkordiEbrahim GhaderpourPublished in: Remote. Sens. (2024)
Keyphrases
- remote sensing data
- machine learning models
- remote sensing
- google earth
- multispectral
- satellite images
- remote sensing images
- machine learning approaches
- spam filtering
- machine learning algorithms
- land cover
- hyperspectral images
- machine learning
- feature selection
- remotely sensed
- pattern recognition
- feature extraction
- training set
- supervised classification
- geographic information
- learning algorithm
- neural network
- machine learning methods
- hyperspectral
- feature space
- classification models
- learning models
- training data