![]() Tell us a little bit about where this idea came from and how we've been building to this moment. ![]() Start with some history, because SCR has been a very long term goal for you. Greg, John, Grant, welcome to Eyes on Earth. And we have Grant Mah, who is the USGS mission engineer for SCR. And he's also spearheaded efforts to compile a compendium of land remote sensing satellites, which is now updated annually. We also have EROS contractor John Christopherson, who's worked alongside Stensaas to help make that goal a reality. He's been working toward the goal of an SCR mission for decades. With us today to talk about that is Greg Stensaas of the USGS. Now, the idea here is to create a baseline that will make it easier for satellite data sets to be used together by remote sensing scientists. On today's show, we're talking about the international partnership that's behind a new mission, which takes the concept of cross-sensor calibration to the next level the satellite cross calibration radiometer, or SCR, as we're going to refer to it, it's going to launch this decade carrying an instrument that will serve as a standard reference for many satellites that they can use to bring themselves closer to the same level of calibration as Landsat. Landsat data are considered the gold standard for calibration, and plenty of newer satellites bootstrap their own data to Landsat to improve reliability. That's why specialists with the EROS Calibration and Validation Center of Excellence, or ECCOE, and the USGS representatives on the Joint Agency Commercial Imagery Evaluation, or JACIE, spend so much time cataloging, comparing and quality checking the measurements taken by the hundreds of commercial and civilian satellites that currently orbit the Earth. Subtle differences between the measurements taken by satellites make it difficult to do apples to apples comparisons of land change, even for satellites as similar as Landsat and the European Space Agency's Sentinel-2A and 2-B. But all that data doesn't always play well together. In the years that followed, more satellites launched to serve similar purposes. When the first Landsat satellite launched 50 years ago, it was the only game in town in terms of civilian land remote sensing. I'm your host for this episode, John Hult. We're a podcast that focuses on our ever-changing planet and on the people here at EROS and across the globe who use remote sensing to monitor and study the health of Earth. Hello everyone, and welcome to another episode of Eyes on Earth. We're hitting 50 years on the Landsat program and we'll continue to see huge advancements, but that Landsat record will always continue. It'll change our decision making for our government agencies. If you are planning to land a major feature, please raise an issue to discuss it first.We're going to see things that we never dreamed of in the next five years in terms of remote sensing data use. Improving the visual appearance of the preferences pane.Controls for configuring each Space independently (the official APIs to do.Ability to display imagery from interesting places around the world.Contributions would be especially appreciated for: I'll do my best to review them and include them where possible. If you want to contribute a feature or a bug fix to SE, that'd be great. Alex Forey for Retina compatible icons.Justin Hileman for work on the image effects.Many thanks to the following folks for their contributions to Satellite Eyes: You might need to fiddle the project (and the LaunchAtLogin subproject) to use your own team and certificates, but please don’t commit these changes. The version we use is locked using Ruby’s Bundler. To build for Debug, make sure you’ve got a working Cocoapods installation. It's not very well documented, sorry, but it's not a big codebase, so I'm sure you'll work it out. Satellite Eyes (SE) is an Xcode 8.1 compatible project, targeting 10.8 upwards. Satellite Eyes is a small OS X application that sits in your system tray (next to the clock) and automatically updates your desktop wallpaper to the satellite or map view overhead.
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