Don’t spend your time installing software,
spend it processing data!

We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing.

SARbian is free for use in research, education or operational work.

The air quality monitoring system for Sentinel 5p set launch for October 13th @0927GMT (1127CEST) Sentinel 5p (p stands for […]

My first co-author (Bajić, D., Adžić, D., Dekić, R.) Remote Sensing Analysis Originally Published in Herald Spatial-temporal analysis of the […]

Perhaps our general understanding of backscatter from forests is not complete. The Matchstick Model may not be perfect for all scenarios, but it does raise some questions about the assumptions we typically make when looking at backscatter from forests. Certainly I now view forest backscatter differently to how I did fifteen years ago.

Cloud cover is recognized as a source of significant loss of information and data quality by many scientific studies. The existence of clouds hinders the extraction of meaningful information because they are a considerable source of uncertainty with regard to the application of any algorithm aiming at the retrieval of land surface parameters. In order to overcome the problem of cloud cover in Earth observation data, the reconstruction of areas beneath clouds can be regarded as a fundamental research topic, especially concerning the visible and infrared regions of the electromagnetic spectrum.