Supporting the Earth science community in building innovative, applied technologies through funding and community input.
Watch a Short Video to Learn More About the ESIP Lab
Annual small grant Dollars to the community
ESIP Partner Organizations
Public, private, and academic partners create a broad, robust, technology development environment.
A network of Lab alumni creates collabroation and funding opportunities.
$10,000 grant funding over 6 months. $5,000 grant funding at the ESIP Summer Meeting.
Active promotion and outreach exposes Lab-funded projects to the Earth science community.
We Are Part of a Thriving Community of Earth Science Data and Software Specialists
The ESIP Lab is a single program within the Earth Science Information Partners. ESIP is a non-profit 501(c)(3) scientific and education membership organization. Currently, ESIP receives funding from NASA, NOAA and USGS to provide a platform to support the community with neutral space for virtual and face-to-face workshops, technical meetings, and conferences to support community-driven collaborations around shared Earth science data and information issues.
Check out the ESIP Community telecon calendar
WunderWeather & Python, Lightning talks @AGU, Google SOC, and more!Highlights from your favorite Virtual Earth Science Lab. ESIP Lab September UpdateHighlights from your favorite Earth science virtual lab! View this email in your Browser | esipfed.org/lab NOTE:...read more
☀ New Lab Funded Projects, Software List, LandTrendr, and Phi Week.Highlights from your favorite Virtual Earth Science Lab. ESIP Lab August UpdateHighlights from your favorite Earth science virtual lab! View this email in your Browser | esipfed.org/lab NOTE FROM THE...read more
AWS talk and blog post, XrVis, Lab-relevant AGU sessions, and Climata!Highlights from your favorite Virtual Earth Science Lab. Highlights from your favorite Earth science virtual lab! July 10, 2019View this email in your Browser | esipfed.org/lab NOTE FROM THE LAB...read more
A web-based, cloud-computing framework for hydrologic modeling …
A system to compose and execute full-stack deep learning workflows …
An automatic approach to building a dynamic knowledge graph for Earth science …
Monitoring Ocean Waves
An approach to gauge ocean wave height, period and direction from imagery …
cubesats & Snow
Using machine learning and planet imagery to create map snow covered area …
ESIP Lab funding transitioned a published hydrologic model from “research grade” science to a cloud-based operation.- Eric Sproles - Montana State University