Deep learning project for crop classification using multi-temporal Sentinel-2 satellite imagery and the MCTNet architecture. The project integrates climate, soil, and topographic covariates to improve agricultural mapping and classification performance.
moncefy/MCTNet-satellite-crop-classification: Deep learning project for crop classification using multi-temporal Sentinel-2 satellite imagery and the MCTNet architecture. The project integrates climate, soil, and topographic covariates to improve agricultural mapping and classification performance.
