Geospatial-AI

Mapping the presence or abundance of an animal or plant species is a non-trivial challenge.  It often involves elaborate field surveys with strict data collection protocols and usually deep un

Crop mapping plays an important role in agronomic planning and management both for farmers and policymakers. Satellite remote sensing sensors have become efficient tools for mapping croplands.

As a result of hardware miniaturization and ubiquitous internet access, there is a wealth of user- and sensor-generated geographic content available, from social media activity to private weather s

A workflow is considered to be a combination of data and (software) operations.

Impervious surfaces are the Earth’s surfaces covered with mainly anthropogenic and artificial structures, such as built-up areas, roads and streets, and parking lots.

Interest in the formal representation of citizen science comes from portals, platforms, and catalogues of citizen science projects; scientists using citizen science data for their research; and fun

When infrastructure companies refurbish asphalt, a road-marking inventory needs to be created in advance to allow for accurate road marking replacement.

For a skyscraper to be stable, it must be built on a strong foundation. However, several factors such as persistent use, aging and deterioration, etc.

Unmanned Aerial Vehicles (UAVs) provide excellent opportunities for more efficient and detailed infrastructure monitoring.

Land use classification of urban area is one of the most important applications of remote sensing images. Urban management is generally in demand to account the dynamics of land uses.