LPDAAC-Data-Resource

This repository is a place to find data user resources that demonstrate how to use NASA Land Processes Distributed Active Archive Center (LP DAAC) tools, services, and data.
https://github.com/nasa/LPDAAC-Data-Resources

Category: Sustainable Development
Sub Category: Education

Keywords

lpdaac

Keywords from Contributors

emit gedi ecostress

Last synced: about 2 hours ago
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Repository metadata

This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.

Host: GitHub
URL: https://github.com/nasa/LPDAAC-Data-Resources
Owner: nasa
License: apache-2.0
Created: 2022-12-30T15:28:56.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2025-04-17T21:01:00.000Z (10 days ago)
Last Synced: 2025-04-23T10:41:49.925Z (4 days ago)
Topics: lpdaac
Language: Jupyter Notebook
Homepage: https://lpdaac.usgs.gov
Size: 30.7 MB
Stars: 34
Watchers: 10
Forks: 16
Open Issues: 1
Releases: 0
Metadata Files:
- Readme: README.md
- Changelog: CHANGE_LOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff

README.md

NASA Land Processes Distributed Active Archive Center (LP DAAC) Data Resources

This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.

Content include in this repository are listed below.

Resource	Type	Summary
LP DAAC Data Access Guide	Markdown	Provides an overview of available data access methods and services that can be used to find and access LP DAAC data
data_discovery_CMR_API_requests.ipynb	Jupyter Notebook	Demonstrates how to search for Earthdata data collections and granules using CMR API and `Request` Python package
earthaccess_introduction.ipynb	Jupyter Notebook	Demonstrates how to search for Earthdata data collections and granules using CMR API and `earthaccess` Python package
Data_Discovery_CMR_API_Bulk_Query.ipynb	Jupyter Notebook	Demonstrates how to search and extract data URLs for an entire collection using Python's `asyncio` package
create_netrc_file.md	Markdown	Demonstrates how to create a .netrc file in your home directory
bulk_download_using_curl.md	Markdown	Demonstrates how to bulk download LP DAAC data using Curl from command line
bulk_download_using_wget.md	Markdown	Demonstrates how to bulk download LP DAAC data using Wget from command line
DAACDataDownload.py	Python script	Demonstrates how to download LP DAAC data using a command line executable script
Land Product Guide	Markdown	Cheat sheet including a high level overview of tools, resources, and URLs available for land data collections (including Landsat data)

The other guides, tutorials, how-tos and scripts can be accessed in our mission specific repositories.

Resource Repository	Summary	Services and Tools
AppEEARS Data Resources	How to use the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS)	Tutorials, AppEEARS API, Direct S3 Access
EMIT Data	How to find, access, and work with EMIT data (Earth Surface Mineral Dust Source Investigation)	Tutorials, Scripts, Direct S3 Access
GEDI Data	How to find, access, and work with GEDI data (Global Ecosystem Dynamics Investigation)	Tutorials
HLS Data	How to find, access, and work with HLS data (Harmonized Landsat Sentinel-2)	Tutorials, Scripts, Direct S3 Access
ECOSTRESS Data	How to find, access, and work with ECOSTRESS data (The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station)	Tutorials, Scripts, Direct S3 Access
VITALS	How to find and work with EMIT and ECOSTRESS data together	Tutorials

Citation (CITATION.cff)

cff-version: 1.2.0
title: LPDAAC Data Resources
message: >-
  If you use this collection of resources in your research
  we would appreciate an appropriate citation.
type: software
authors:
  - 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: 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: 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'
  - 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: 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'
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 archived by NASA's Land
  Processes Distributed Active Archive Center (LPDAAC).
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: 10
Delete event: 15
Push event: 23
Pull request review event: 1
Pull request review comment event: 1
Pull request event: 18
Fork event: 5
Create event: 8

Last Year

Watch event: 10
Delete event: 15
Push event: 23
Pull request review event: 1
Pull request review comment event: 1
Pull request event: 18
Fork event: 5
Create event: 8

Committers metadata

Last synced: 6 days ago

Total Commits: 131
Total Committers: 7
Avg Commits per committer: 18.714
Development Distribution Score (DDS): 0.382

Commits in past year: 31
Committers in past year: 4
Avg Commits per committer in past year: 7.75
Development Distribution Score (DDS) in past year: 0.516

Name	Email	Commits
Mahsa Jami	8****0	81
Erik Bolch	e**h@c**v	20
Bri	1****d	16
Aaron Friesz	a**z@g**m	6
Aaron Friesz	a**z@c**v	6
cpkrehbiel	3****l	1
TKantz	1****z	1

Committer domains:

contractor.usgs.gov: 2

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 3
Total pull requests: 42
Average time to close issues: 5 months
Average time to close pull requests: 22 days
Total issue authors: 1
Total pull request authors: 5
Average comments per issue: 6.0
Average comments per pull request: 0.1
Merged pull request: 41
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 28
Past year average time to close issues: N/A
Past year average time to close pull requests: about 1 month
Past year issue authors: 0
Past year pull request authors: 3
Past year average comments per issue: 0
Past year average comments per pull request: 0.14
Past year merged pull request: 27
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/nasa/LPDAAC-Data-Resources

Top Issue Authors

paugalles (3)

Top Pull Request Authors

mjami00 (20)
ebolch (10)
amfriesz (7)
BriannaLind (4)
cpkrehbiel (1)

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Dependencies

_import/environment.yml pypi

markdown *
pqdm *

Score: 5.5012582105447265

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