EMIT-Data-Resources
Built to help scientists understand how dust affects climate, the EMIT can also pinpoint emissions of the potent greenhouse gas.
https://github.com/nasa/EMIT-Data-Resources
Category: Emissions
Sub Category: Emission Observation and Modeling
Keywords
emit lpdaac
Keywords from Contributors
ecostress gedi hyperspectral
Last synced: about 19 hours ago
JSON representation
Repository metadata
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
- Host: GitHub
- URL: https://github.com/nasa/EMIT-Data-Resources
- Owner: nasa
- License: apache-2.0
- Created: 2022-12-30T15:30:07.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-22T20:08:37.000Z (3 months ago)
- Last Synced: 2025-04-26T14:03:01.130Z (2 days ago)
- Topics: emit, lpdaac
- Language: HTML
- Homepage:
- Size: 103 MB
- Stars: 153
- Watchers: 16
- Forks: 94
- Open Issues: 4
- Releases: 3
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGE_LOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
README.md
EMIT-Data-Resources
Welcome to the EMIT-Data-Resources repository. This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission. In the interest of open science this repository has been made public but is still under active development. All notebooks and scripts should be functional, however, changes or additions may be made. Make sure to consult the CHANGE_LOG.md for the most recent changes to the repository. Contributions from all parties are welcome.
EMIT Background
The EMIT Project delivers space-based measurements of surface mineralogy of the Earth’s arid dust source regions. These measurements are used to initialize the compositional makeup of dust sources in Earth System Models (ESMs). The dust cycle, which describe the generation, lofting, transport, and deposition of mineral dust, plays an important role in ESMs. Dust composition is presently the largest uncertainty factor in quantifying the magnitude of aerosol direct radiative forcing. By understanding the composition of mineral dust sources, EMIT aims to constrain the sign and magnitude of dust-related radiative forcing at regional and global scales. During its one-year mission on the International Space Station (ISS), EMIT will make measurements over the sunlit Earth’s dust source regions that fall within ±52° latitude. EMIT will schedule up to five visits (three on average) of each arid target region and only acquisitions not dominated by cloud cover will be downlinked. EMIT-based maps of the relative abundance of source minerals will advance the understanding of the current and future impacts of mineral dust in the Earth system.
EMIT Data Products are distributed by the LP DAAC. Learn more about EMIT data products from EMIT Product Pages and search for and download EMIT data products using NASA EarthData Search
Prerequisites/Setup Instructions
This repository requires that users set up a compatible Python environment and download the EMIT granules used. See the setup_instuctions.md
file in the ./setup/
folder.
Repository Contents
Below are the resources available for EMIT Data.
Name | Type | Summary |
---|---|---|
Getting EMIT Data using EarthData Search | Markdown Guide | A thorough walkthrough for using EarthData Search to find and download EMIT data |
Streaming NASA Earthdata Cloud-Optimized GeoTIFFs using QGIS | Markdown Guide | A walkthrough to set up QGIS to stream cloud-optimized geotiff files from NASA Earthdata |
Exploring EMIT L2A Reflectance | Jupyter Notebook | Explore EMIT L2A Reflectance data using interactive plots |
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 |
Finding_EMIT_L2B_Data | Jupyter Notebook | Use the earthaccess Python library to find EMIT L2B Mineral Identification Band Depth and Uncertainty data |
Working with EMIT L2B Mineralogy | Jupyter Notebook | Work with the EMIT L2B Mineral Identification Band Depth and Uncertainty Data and aggregate individual spectral library constituents into the EMIT-10 minerals and estimate abundance |
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-west2 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 |
Helpful Links
-
LP DAAC EMIT Product Pages - Learn more about available EMIT products
-
VISIONS Open Data Portal - Learn about current and forecasted EMIT coverage
-
EMIT on Earth Data Search - Download EMIT Data from NASA
-
EMIT Github Repository - Main EMIT Repository
-
EMIT Utilities Github Repository - General convenience utilities for working with EMIT data
-
EMIT on Slack - Join the EMIT slack community!
Contact Info
Email: [email protected]
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://lpdaac.usgs.gov/
Date last modified: 08-01-2024
¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.
Citation (CITATION.cff)
cff-version: 1.2.0 title: EMIT Data Resources message: >- If you use this collection of resources in your research we would appreciate an appropriate citation. type: software authors: - given-names: Erik A family-names: Bolch affiliation: >- KBR, Inc., Contractor to the U.S. Geological Survey, Earth Resources Observation and Science Center, National Aeronautics and Space Administration Land Processes Distributed Active Archive Center orcid: 'https://orcid.org/0000-0003-2470-4048' - given-names: Aaron M family-names: Friesz affiliation: >- KBR, Inc., Contractor to the U.S. Geological Survey, Earth Resources Observation and Science Center, National Aeronautics and Space Administration Land Processes Distributed Active Archive Center orcid: 'https://orcid.org/0000-0003-4096-3824' - given-names: Mahsa family-names: Jami affiliation: >- KBR, Inc., Contractor to the U.S. Geological Survey, Earth Resources Observation and Science Center, National Aeronautics and Space Administration Land Processes Distributed Active Archive Center orcid: 'https://orcid.org/0000-0002-3594-3004' - given-names: Brianna M family-names: Lind affiliation: >- KBR, Inc., Contractor to the U.S. Geological Survey, Earth Resources Observation and Science Center, National Aeronautics and Space Administration Land Processes Distributed Active Archive Center orcid: 'https://orcid.org/0000-0002-5306-9963' - given-names: Philip G family-names: Brodrick affiliation: >- Jet Propulsion Laboratory, California Institute of Technology orcid: 'https://orcid.org/0000-0001-9497-7661' - given-names: K Dana family-names: Chadwick affiliation: >- Jet Propulsion Laboratory, California Institute of Technology orcid: 'https://orcid.org/0000-0002-5633-4865' - given-names: Cole K family-names: Krehbiel affiliation: >- National Aeronautics and Space Administration Land Processes Distributed Active Archive Center, U.S. Geological Survey, Earth Resources Observation and Science Center orcid: 'https://orcid.org/0000-0003-2645-3449' repository-code: 'https://github.com/nasa/EMIT-Data-Resources' abstract: >- This repository contains guides and Jupyter Notebooks to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission. license: Apache-2.0
Owner metadata
- Name: NASA
- Login: nasa
- Email: [email protected]
- Kind: organization
- Description: ReadOpen Data initiative here: https://www.nasa.gov/open/ & Instructions here: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
- Website: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
- Location: United States of America
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/848102?v=4
- Repositories: 495
- Last ynced at: 2024-04-08T17:07:01.517Z
- Profile URL: https://github.com/nasa
GitHub Events
Total
- Watch event: 24
- Delete event: 7
- Push event: 6
- Pull request review event: 2
- Pull request event: 10
- Fork event: 16
- Create event: 6
Last Year
- Watch event: 24
- Delete event: 7
- Push event: 6
- Pull request review event: 2
- Pull request event: 10
- Fork event: 16
- Create event: 6
Committers metadata
Last synced: 7 days ago
Total Commits: 240
Total Committers: 10
Avg Commits per committer: 24.0
Development Distribution Score (DDS): 0.158
Commits in past year: 79
Committers in past year: 4
Avg Commits per committer in past year: 19.75
Development Distribution Score (DDS) in past year: 0.089
Name | Commits | |
---|---|---|
Erik Bolch | e****h@c****v | 202 |
Bri | 1****d | 18 |
Phil Brodrick | p****k@g****m | 7 |
Aaron Friesz | a****z@g****m | 4 |
Mahsa Jami | 8****0 | 2 |
nbgitpuller | n****r@n****k | 2 |
Friesz | a****z@c****v | 2 |
TKantz | 1****z | 1 |
K. Dana Chadwick | d****k@j****v | 1 |
Alex Leith | a****h@g****m | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 22
Total pull requests: 48
Average time to close issues: 9 days
Average time to close pull requests: 3 days
Total issue authors: 12
Total pull request authors: 5
Average comments per issue: 2.0
Average comments per pull request: 0.38
Merged pull request: 45
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 9
Past year average time to close issues: 7 days
Past year average time to close pull requests: 3 days
Past year issue authors: 2
Past year pull request authors: 2
Past year average comments per issue: 3.5
Past year average comments per pull request: 0.33
Past year merged pull request: 8
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- BriannaLind (5)
- zxdawn (3)
- piyushrpt (2)
- c-vollrath (2)
- GMoncrieff (2)
- kleinlevente (2)
- 1kaiser (1)
- mvonpohle (1)
- MaurizioNaletto-code (1)
- giswqs (1)
- cpkrehbiel (1)
- roconnor1995 (1)
Top Pull Request Authors
- ebolch (40)
- BriannaLind (3)
- pgbrodrick (2)
- alexgleith (2)
- kdchadwick (1)
Top Issue Labels
- question (3)
- enhancement (2)
- help wanted (1)
Top Pull Request Labels
Score: 7.358830898342354