Commercial satellite providers produce somewhere between 100 and 200 terabytes of imagery a day ̶ a monstrous amount of information. Sentinel 2 has five years of daily refresh data. We have 40+ years of Landsat data. It’s a massive amount, particularly in the temporal dimension, where you can do longitudinal studies. Apache Spark and Raster Frames might just be the tools we need to handle this much data.
The biggest value you get from satellite images is that you can see what’s on the ground. If there is too much water vapor in front of the satellite imaging sensors, it obscures the Earth’s surface, and you might lose all value of the platform.
Remote sensing with a difference. That’s what Ellen Christopherson, CEO and founder ofclearGrid, is here to talk about. Their unique way of collecting radio frequency (RF) data makes them a valuable partner for utility and energy companies that do any type of meter readings and billings. Ellen’s background in aviation engineering gives her an edge to see how technology can deliver efficiency in this space.
The Mars Rover Project. Autonomous robots monitoring substations. How is this all relevant to the geospatial community? Scott Nowicki is happy to clarify. He explains the technology that enables robots to integrate detailed maps, orientate, and move around their environments as they go on their daily business and build detailed change detection maps for substations and facilities management. But the question is, can they and do they truly add value to operations where human presence is difficult or unnecessary?
The future of remote sensing and earth observation might be open, collaborative and involve much more end user education that you expect. DR Aliastra Graham shares his observations based on 20 years of experience in the industry.