A system for forecasting macroeconomic trends using geospatial data and a machine learning model. The system may include a server computing device in communication with a user computing device via a network, the server computing device comprising a processor and a memory, the memory storing computer-executable instructions which are executed by the processor to: obtain images from a satellite imagery catalog; determine Normalized-Difference Built-Up Index (NDBI) values of one or more zones between various bands of the images; determine an average of the NDBI values for each zone; seasonally adjust the average NDBI values; obtain economic data from external sources; generate a stationarity dataset based on the adjusted NDBI values and the economic data; generate a statistical relationship model based on the stationarity dataset and economic activity of each zone; and forecast a macroeconomic trend based on the statistical relationship model and the current satellite imagery data.
展开▼
