Land use and land cover are fundamental components of geospatial intelligence, providing critical information about the Earth’s surface for various applications, including urban planning, agriculture, natural resource management, and environmental monitoring. 

Land Use: Land use focuses on how people utilize the land, indicating the purpose and activities taking place in specific areas, such as residential, commercial, industrial, agricultural, or recreational land use. Land use data help assess human-environment interactions, resource allocation, and urban growth patterns. SPATIALTY.AI combine imagery analysis with geographic information system (GIS) data to categorize and monitor land use changes over time. This supports urban planning, infrastructure development, and decision-making related to sustainable land management.

Land cover: Land cover refers to the physical characteristics of the Earth’s surface, including natural features (e.g., forests, water bodies, and wetlands) and human-made features (e.g., urban areas, roads, and agriculture). Land cover data are essential for understanding the composition and distribution of different surface features. analysts use remote sensing technology, such as satellite imagery and aerial photography, to classify and map land cover types. This information aids in habitat assessment, disaster response, and land use planning.