Satellite Data Analysis with Google Earth Engine and Graph Databases
Analyze Japanese train station data in GEE, Memgraph, and Gemini Explore
Satellite imagery has become an invaluable tool for monitoring our changing planet, from tracking the effects of climate change to managing natural resources and detecting land use patterns. Google Earth Engine (GEE) is a powerful platform that allows researchers and developers to analyze and visualize this data on a global scale (1, 2, 3, 4, and 5). However, with the growing volume of data being produced, it can be a challenge to effectively store and manage the results of these analyses. Graph databases offer a promising solution, allowing users to store and query complex relationships between different data points in a way that traditional relational databases cannot (1, 2, 3, 4, 5, and 6).
In this short article, I will explore the benefits of combining graph databases and GEE, and how they can enable new insights and discoveries in fields ranging from ecology to urban planning. This project focuses on the train stations in Hokkaido, Japan (北海道). Data from ekidata.jp are complemented by the population and elevation data from GEE. These data are then stored and analyzed in Memgraph and Gemini Explore. Memgraph can visualize the nodes on top of Leaflet maps, while Gemini Explore’s…
