1 Introduction
Remote-sensing data has become enormously important for a wide range of applications in many different fields of Earth's observation thanks to the technological evolution of optical sensors over the last years. As recent sensors can cover large areas of the Earth's surface, producing images with unprecedented spectral and spatial resolution, the need for efficient coding techniques to improve the capabilities of storage and transmissions emerges naturally. While there are some scenarios where only lossless coding is acceptable, there are other applications where lossy coding is indispensable because only a limited amount of data can be transmitted. Techniques allowing progressive lossy-to-lossless coding are thus gaining importance in remote-sensing as they provide similar rate-distortion performance to pure lossy methods at low bitrates, and also a competitive coding performance in the lossless regime.