Kingsley Chika CHUKWU

Kingsley Chika CHUKWU is a dedicated professional with a profound passion for Remote Sensing, Geospatial Science, Surveying, Geoinformatics, Data Science, and Open Data Development. With a keen interest in utilizing data for various applications such as environmental monitoring, natural resource management, disaster risk reduction, agriculture, food security, and urban planning, Kingsley strives to make a positive impact through his work.
With a wealth of experience in the field, Kingsley specializes in developing advanced methods for Geospatial Analysis and data-driven decision-making. He is passionate in integrating cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) to construct theories that elucidate the complexities of the geographical world.
Kingsley has proficiency in a diverse range of areas, including Remote Sensing, Geospatial Science, Data Science, Artificial Intelligence, Python programming, Surveying, Geoinformation, Digital Mapping, Machine Learning, ArcGIS, QGIS, and Google Earth Engine cloud computing. Also, his expertise extends to specialized domains such as Synthetic Aperture Radar (SAR) and Environmental Information Systems.

His academic background includes a Diploma in Surveying and Geoinformatics from Akanu Ibiam Federal Polytechnic Unwana, Ebonyi State, Nigeria, a Bachelor of Science in Geoinformatics and Surveying from the University of Nigeria, Nsukka, Enugu State Nigeria and he is currently pursuing his Masters of Science in Environmental Information System from the University of Lay Adventist of Kigali, Rwanda.

Kingsley's dedication to his field and his commitment to leveraging technology for positive change make him a valuable asset in any endeavor he undertakes.


Session

09-08
11:30
10min
Analyzing the Spatial Distribution of Fuel Stations in Harare, Zimbabwe: Leveraging OpenStreetMap for Disaster Preparedness, Mitigation and Recovery
Kingsley Chika CHUKWU

Whether they are man-made or natural, disasters pose serious risks to communities all over the world. A comprehensive evaluation of gasoline station infrastructure is necessary to ensure public safety and reduce fire dangers. This research, which focuses on Harare, Zimbabwe, uses Geographic Information Systems (GIS) to examine building patterns and access building footprints, road networks, and public facilities using the OpenStreetMap Database. Fuel station mapping and dataset overlaying allow to define fire risk levels that are susceptible to fire hazards and identify danger zones. This study supports risk management, public safety, disaster preparedness, and mitigation initiatives in Harare, Zimbabwe.

Tsavo Hall