Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management

摘要: The ever-growing availability of Earth Observation (EO) data is demonstrating a wide range potential applications in the realm land management. On other hand, large volumes need to be handled and analysed extract meaningful information Geomatics coupled with new approaches such as Artificial Intelligence (AI) Machine Learning will play pivotal role years come. Training datasets developed use these models Volunteered Geographic Information can one promising sources for EO processing. Among various applications, agriculture may benefit from dataset AI However, several issues remain unsolved further steps should taken near future by researchers policy makers.