Data Access
EMIT reflectance data and products are distributed by the LP DAAC.
Data can be accessed via:
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NASA's CMR API (earthaccess uses this)
Resources
To support users the EMIT team and LP DAAC have collaborated to create a set of tutorials and workshops which we have presented both online and in person at various conferences.
Here is our playlist of virtual workshops, which includes introductory and advanced videos on working with EMIT data and Mapping Methane.
Workbooks from our conference workshops can be found here LP DAAC webbook, including a Mapping Minerals workshop presented at IGARSS 2024, that we will update and present as online workshop by August 2025.
EMIT Data Reasources: LPDAAC
The EMIT-Data-Resources repository provides guides, Jupyter notebooks, and tools for accessing and analyzing NASA's EMIT mission data. It includes tutorials on finding and downloading EMIT data using EarthData Search, NASA's CMR API, and direct S3 access. Additional resources cover processing Level 2B Mineralogy data and using Python libraries like earthaccess. Users can also access past workshop materials, report issues, and request enhancements.
VITALS: LPDAAC + JPL
The VITALS webbook offers resources for working with Visible to Short-Wave Infrared (VSWIR) and Thermal Infrared (TIR) data from NASA's EMIT and ECOSTRESS missions. It includes five Python Jupyter notebooks that guide users in finding concurrent scenes between the two sensors, exploring EMIT reflectance and ECOSTRESS land surface temperature, estimating canopy water content, analyzing land cover in the Dangermond Preserve, and studying Santa Barbara vineyards.
APPEARS: LPDAAC
The AppEEARS-Data-Resources repository provides tutorials for using NASA's Application for Extracting and Exploring Analysis Ready Samples (AppEEARS), a tool for accessing geospatial data. It includes Python and R notebooks on submitting and downloading sample requests via the AppEEARS API and accessing outputs from AWS. Tutorials also show how to download visualize EMIT spectra from areas of interest without downloading full scenes.
HyperCoast: EMIT Science Team
HyperCoast is a Python package for visualizing and analyzing imaging spectroscopy data in coastal environments. It streamlines exploration of data from missions, including EMIT, AVIRIS, PACE, and more, using tools like Leafmap and PyVista. With interactive features for spectral analysis, 3D visualization, and NASA data search via earthaccess.