Raster data analysis

Raster data analysis involves examining grid-based data that represent geographic information, such as satellite images or aerial photos. Each cell in the grid, called a pixel, contains a value indicating a specific attribute like elevation, temperature, or land cover. By analyzing these pixel values collectively, we can identify patterns, measure changes over time, or classify areas based on their characteristics. This approach is useful for tasks like environmental monitoring, land use planning, and resource management, providing a detailed and spatially explicit way to study and interpret the physical world.