Ecopia AI Launches New Agricultural Land Use Data Layers

Ecopia announces the availability of new agricultural land use vector data, bringing a new level of detail to the 3D Nationwide Land Cover dataset. These planimetric vector data layers will enable government agencies to perform more in-depth geospatial analytics related to water usage, tax assessment, land development, runoff calculations, and other detailed analysis workflows.

Launched in 2022, 3D Nationwide Land Cover provides 14 high-precision 2D data layers classifying different land use types, as well as height-attributed (3D) feature classes for buildings, trees, and bridges. These standard data layers, derived from high-resolution geospatial imagery sourced from Ecopia’s global partner network, currently power a variety of mapping and analytics use cases across the United States, including stormwater management, public safety, natural hazard mitigation, and urban/community planning.

With the launch of this additional land use data, organizations will have the choice of further classifying ‘grass’ and ‘agriculture’ features into more specialized layers; Ecopia’s AI-based mapping systems can now classify ‘grass’ as either ‘developed open space’ or ‘wild grass,’ while ‘agriculture’ features can now be differentiated as either ‘pasture’ or ‘cultivated crops.