Norman Kerle

Papers

Total Citations

204

H-Index

About

Norman Kerle is a leading figure in the application of geospatial and remote sensing technologies for disaster risk reduction and structural damage assessment. His research centers on the development and validation of advanced methods for detecting, characterizing, and quantifying damage to the built environment, particularly following earthquakes and other natural hazards. Kerle’s major contributions include pioneering the use of unmanned aerial vehicles (UAVs) for rapid post-disaster structural mapping, as demonstrated in his highly cited 2019 review, which has garnered over 200 citations and serves as a foundational reference in the field. He has also advanced object-based image analysis (OBIA) and machine learning techniques to automate damage detection from both satellite and aerial imagery. His work has been instrumental in bridging the gap between remote sensing science and practical humanitarian response, with his research cited over 3,000 times. Kerle’s notable achievements include leading the development of the first standardized protocols for UAV-based damage assessment and contributing to major international disaster response efforts.