Published: Sept. 22, 2023
The Earth Surface Mineral Dust Source Investigation (EMIT) instrument aboard the International Space Station (ISS) measures visible to short-wave infrared (VSWIR) wavelengths of the surface mineralogy of arid dust source regions via imaging spectroscopy. The data collected by the EMIT instrument is can be used to map relative abundance of source minerals to advance our understanding of the current and future role of mineral dust in the radiative forcing (warming or cooling) of the atmosphere. For more information, visit the (EMIT website).
The EMIT Data Resources GitHub repository provides guides, short how-tos, and tutorials to help users access and work with EMIT data. In the interest of open science, this repository has been made public and is open to contributions. The repository is actively maintained by the LP DAAC. All resources should be functional; however, changes or additions may be made. We encourage users to periodically check the repository for resource updates.
Below are data use resources available for EMIT.
| Name | Type | Summary |
|---|---|---|
| Getting EMIT Data using EarthData Search | Markdown Guide | A thorough walkthrough for using EarthData Search to find and download EMIT data |
| Visualizing Methane Plume Timeseries | Jupyter Notebook | Find EMIT L2B CH4 Plume Data and build a timeseries of CH4 plume complexes |
| Generating Methane Spectral Fingerprint | Jupyter Notebook | Extract Radiance Spectra and build an in-plume/out-of-plume ratio to compare with CH4 absorption coefficient |
| Exploring EMIT L2A Reflectance | Jupyter Notebook | Explore EMIT L2A Reflectance data using interactive plots |
| How to find and access EMIT data | Jupyter Notebook | Use the earthaccess Python library to find and download or stream EMIT data |
| How to Convert to ENVI Format | Jupyter Notebook | Convert from downloaded netCDF4 (.nc) format to .envi format |
| How to Orthorectify | Jupyter Notebook | Use the geometry lookup table (GLT) included with the EMIT netCDF4 file to project on a geospatial grid (EPSG:4326) |
| How to Extract Point Data | Jupyter Notebook | Extract spectra using lat/lon coordinates from a .csv and build a dataframe/.csv output |
| How to Extract Area Data | Jupyter Notebook | Extract an area defined by a .geojson or shapefile |
| How to use EMIT Quality Data | Jupyter Notebook | Build a mask using an EMIT L2A Mask file and apply it to an L2A Reflectance file |
| How to use Direct S3 Access with EMIT | Jupyter Notebook | Use S3 from inside AWS us-west-2 to access EMIT Data |
| How to find EMIT Data using NASA's CMR API | Jupyter Notebook | Use NASA's CMR API to programmatically find EMIT Data |