Geomaster

Key Workflows

• Remote sensing data processing and classification
• Spatial machine learning for predictive mapping
• Terrain analysis and hydrological modeling
• Marine spatial analysis
• Atmospheric science applications
• Urban and agricultural monitoring
• Change detection analysis

Best Practices

The documentation emphasizes:

• Always check coordinate reference system (CRS) before spatial operations
• Use projected CRS for area and distance calculations
• Implement spatial indexing for performance (10-100x faster queries)
• Use Dask for large raster datasets
• Leverage COGs and STAC for cloud-native access
• Validate results with ground truth data
• Consider computational resources for large-scale processing

Performance Optimization

Key techniques for achieving significant speed improvements:

• Spatial indexing on vector data
• Chunking and lazy loading of large rasters
• Parallel processing with Dask
• Cloud-optimized formats (COGs, Parquet)
• Appropriate CRS selection for efficient computation