Land use/land cover (LULC) based on 19 different classes of LULC (agricultural, urban, rural, green areas, forests, etc.).

Uncovering patterns of illegal dumping across Cyprus using innovative geospatial data analysis.

Classify tree species in Japanese mixed forests using UAV images and deep learning, and identify the invasive species black Locust.

Estimating the area of buildings (in square meters) in Cyprus with AI and satellite imagery.

Mapping all trees around the island of Cyprus based on their canopy with Deep Learning and Remote Sensing.

Counting African bush elephants and monitoring their wellbeing using aerial imagery and deep learning.

Detecting swimming pools across Cyprus with high precision, using deep learning and remote sensing.

Infer the normalized Digital Surface Model (nDSM) of single aerial imagery.