Monthly Archives: October 2017

The SAR Journal Webpage and Community

I just discovered this amazing Synthetic Aperture Radar (SAR) website and magazine site, so aptly named as www.syntheticapertureradar.com. The website and content in it is quite amazing, and being a SAR aficionado, I have immediately signed up for their newsletter. I wish someone sends me an invite to the “Community” also, it seems to be only by invitation šŸ™‚

In their own words, the website managers “represent the worldwide airborne and spaceborne SAR community worldwide. We are operated, moderated and maintained by members of the SAR community.”

So take a look at the SAR Journal website and sign up for the newsletter:

www.syntheticapertureradar.com

 

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GLaSS and EOMORES Inland Water Remote Sensing Projects

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Phander Lake in District Ghizer, Gilgit-Baltistan, Pakistan. Photo credits: Auhor

The EU collaborative project GlaSS (Global Lakes Sentinel Services) developed tools, algorithms and applications for the monitoring of global lakes and reservoirs using the CopernicusĀ Sentinel-2 (S2) optical and Sentinel-3 (S3) satellite data, and also USGS Landsat 8 data. The great thing about this project is that the results and developed data processing methodology have been made available online as training material in a very detailed and systematic manner. I have gone through them briefly, and they are readily usable in undergraduate or graduate level courses in remote sensing, especially water & hydrology remote sensing focussed courses. There are 10 lessons in total. Take a look at the GlaSS training material here:

http://www.glass-project.eu/training-material/

The GlaSS project has lead to variousĀ news reports and scientific publications. The project was finished few months ago, and in fact seems to have transitioned into theĀ EU H2020 EOMORESĀ (Earth Observation-Based Services For Monitoring And Reporting Of Ecological Status) project, which claims to be a project “aiming to develop commercial services for monitoring the quality of inland and coastal water bodies, using data from Earth Observation satellites and in situ sensors to measure, model and forecast water quality parameters.” The EOMORES project has just started few months ago, and we look forward to seeing what results it brings us in the future.