Raster data, such as satellite imagery, is a widely used geospatial data. Domain scientists in various fields, including agriculture, marine studies, climate monitoring, and urban development, heavily rely on raster data. As the volume of publicly accessible raster data grows, users need more efficient data exploration solutions.
In this talk, I will introduce geographical data science applications that require extensive raster data. I will also discuss the challenges associated with big raster data processing and introduce a distributed approach to effectively processing large scale spatial datasets behind all diverse applications.