High-resolution satellite analysis, multi-modal fusion (optical, SAR, LiDAR) and deep learning for feature extraction.
Rapid damage assessment for earthquakes, floods and landslides with actionable analytics for response teams.
Forest fire monitoring, biomass estimation and carbon trading support using advanced remote sensing workflows.
Centroid-based patch extraction + UNet — 93.2% accuracy on 25cm orthophotos.
It involves analyzing continuous spectral bands to identify and map minerals based on their unique spectral signatures
Automated ENVI GSF task integrated into processing pipelines for fast results.
Hands-on training for students and professionals in satellite image analysis.
Discussing strategies for carbon estimation and reporting using geospatial data.