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ESIP Lab Update: Highlights from your favorite Earth science virtual lab!
May 15, 2019
View this email in your Browser | esipfed.org/lab
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REMINDERS: Want a sneak peek at the schedule for the 2019 ESIP Summer Meeting? Check out our draft schedule here! Also, there is less than a month left for Earth Bird Registration – save $100 and register today. In case you missed the IT&I Tech Dive the SpatioTemporal Asset Catalog (STAC), you can find it here.
Annie Bryant Burgess, Director, ESIP Lab
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Through this Request for Proposals (RFP), the Earth Science Information Partners (ESIP) Lab will provide seed funding for projects that lie in the realm of good ideas ready to be tried out. Projects should last 6 – 8 months.
We have identified the following topics as areas of need in the Earth science community, and for this RFP, project proposals that address these areas will be given priority.
- Proof-of-concept for emerging technologies.
- Modernization of Earth science workflows using community recommended best practices — the use of open source software and cloud computing are encouraged.
- Extension of open source software critical to collecting, distributing, or analyzing Earth science data.
- Development or use of Open Data Cubes, particularly with a focus on delivering data and information to end-user communities.
Although this RFP will give priority to proposals addressing the bulleted topics above, other high-quality proposals will also be given consideration.
Find the complete RFP here.
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 Kelsey Jordahl is the Director of the Data Pipeline team at Planet. Planet operates the largest private constellation of satellites in the world, including over 150 earth observation satellites, and processes terabytes of data every day. Prior to joining Planet in 2015, he worked as a scientific software developer, working with clients in finance, energy, government and academia and teaching the Python programming language to scientists and engineers. He has also taught physics at Marymount Manhattan College and done research in marine geophysics. He holds a Ph.D. from the MIT-Woods Hole Oceanographic Institution Joint Program in Oceanography and a B.S. in Physics from Eckerd College. He lives in Spokane, Washington.
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 August 5-7th, 2019
USGS Campus, Menlo Park, CAThis is a workshop dedicated to discussing interoperability between commercial data sources of imagery and public datasets. In particular, we will be presenting different approaches to data harmonization with an emphasis on determining standard approaches and practical recommendations on standards for Analytics Ready Data (ARD). The workshop is open to technical staff in commercial EO data providers, government agencies like USGS, NASA, and ESA – as well as data analytics providers, researchers and NGOs.
Space is limited, please use this form to apply.
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 There have been several important advances that now make it possible to render big gridded data from many different sources with a common Python-based toolset in the browser. The first is the CF conventions that allow non-ambiguous identification of coordinate and data variables, the second is xarray which represents the CF data model in Python, and the third is the pyviz collection of tools, that allows rendering of massive gridded data, widgets to control data selection, and tools to specify layouts of widgets and data displays in the browser.
We are happy to have Harman Deep Singh working with ESIP to build a dashboard using panel that allows the user to specify an intake catalog containing CF-compliant datasets that can be loaded into xarray. Learn more about the project here.
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Lab Fellow Ben Roberts-Pierel highlights his favorite data exploration tools
This month I am going to make a departure from my usual focus on cryospheric sciences and briefly look at a cool platform that many of you are likely familiar with, the Google’s Earth Engine (GEE) platform. For those who are not familiar, it is a ‘planetary scale,’ cloud-based parallel computing platform that both hosts large quantities of earth sciences data and allows for analyses via a Javascript API. Although Earth Engine has been publicly accessible for some years now, if you wanted to access another researcher’s work on GEE you had to create an account and know a little bit about Javascript, running code, and interacting with data to see their results. With the introduction of Google Earth Engine Apps the developers at Google have made it possible to access another person’s work without creating an account, knowing the first thing about programming or ever having to touch any of the background data. This is a significant development for anybody working with external user groups or trying to work on interdisciplinary projects with other people outside the earth or data sciences. It is now possible for those working with earth science data to build in all the background analysis, visualization and usability functionality and then make this available to the public.
Link to a few examples here.
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