Big Data for Remote Sensing: Challenges and Opportunities

 Big Data for Remote Sensing: Challenges and Opportunities

 Every day a large number of Earth observation (EO) spaceborne and airborne sensors from many different countries provide a massive amount of remotely sensed data. Those data are used for different applications, such as natural hazard monitoring, global climate change, urban planning etc. The applications are data driven and mostly interdisci-plinary. Based on this it can truly be stated that we are now living in the age of big remote sensing data. Furthermore, these data are becoming an economic asset and a new important resource in many applications.