*Editorial* **Editorial to Special Issue "Remote Sensing Data Compression"**

**Benoit Vozel 1, Vladimir Lukin 2,\* and Joan Serra-Sagristà <sup>3</sup>**


**Abstract:** A huge amount of remote sensing data is acquired each day, which is transferred to image processing centers and/or to customers. Due to different limitations, compression has to be applied on-board and/or on-the-ground. This Special Issue collects 15 papers dealing with remote sensing data compression, introducing solutions for both lossless and lossy compression, analyzing the impact of compression on different processes, investigating the suitability of neural networks for compression, and researching on low complexity hardware and software approaches to deliver competitive coding performance.

**Keywords:** remote sensing data compression; lossless compression; lossy compression; compression impact; neural networks; computational complexity

**Citation:** Vozel, B.; Lukin, V.; Serra-Sagristà, J. Editorial to Special Issue "Remote Sensing Data Compression". *Remote Sens.* **2021**, *13*, 3727. https://doi.org/10.3390/ rs13183727

Received: 28 August 2021 Accepted: 16 September 2021 Published: 17 September 2021

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