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this course has been rescheduled for May 2026. Given this era of the fourth industrial revolution (hereafter, referred to as 4IR) the technological developments we see around us in most industries (such as mining, agriculture, engineering and geospatial science) rely on big data acquisition, processing and analysis in-order to produce end-user products, through cloud computing and automated systems. In particular the processing and analysis of big data often require the use or adoption of certain advanced algorithms such as artificial intelligence and machine learning. This remote sensing data analysis course cover the physical principles of satellite and drone remote sensing and remote sensor data processing using machine learning methods in Google Earth Engine, with specific focus on land use land cover, agricultural and rangeland applications. The machine learning methods that will be used include for example, neural networks and tree-based models for classification and regression analysis, followed performance evaluation of the models.
The short course in Aerial surveying (UAV) for 3-D surface modelling and detailed mapping aims to provide you with hands-on experience in the field of Geographic Information Systems (GIS) and Remote Sensing. Professionals will witness live demonstrations of aerial surveying utilising Unmanned Aerial Vehicles (UAVs) to capture ultra-high-resolution imagery of your study area. The course will take you from field operations to the lab, where you will transform this imagery into a range of valuable geographic information products. These products include orthophotos, point clouds, digital elevation models (DEMs), digital surface models (DSMs), and detailed maps, all derived from high-spatial-resolution orthomosaic images.
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