Jeroen Grift

Jeroen Grift is a Researcher in the Department of Earth Observation Science, specializing in geospatial methodologies for cadastral boundary delineation and agricultural monitoring.

• Earth Observation
• Remote Sensing
• Geographic Information Systems (GIS)
• Land Administration
• Spatial Data Analysis
• Geospatial Artificial Intelligence (AI)

Grift's recent work focuses on creating benchmark datasets like CadastreVision and AI4SmallFarms. These resources leverage multi-resolution earth observation imagery and deep learning algorithms to address challenges in cadastral mapping and crop field delineation. His research emphasizes improving spatial resolution, accuracy, and automation in geospatial data analysis, with applications for land rights and smallholder farming systems in Southeast Asia.