lpdaac-data-resources

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

https://github.com/nasa/lpdaac-data-resources

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    3 of 9 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.9%) to scientific vocabulary

Keywords

lpdaac

Keywords from Contributors

emit
Last synced: 7 months ago · JSON representation ·

Repository

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

Basic Info
Statistics
  • Stars: 42
  • Watchers: 12
  • Forks: 20
  • Open Issues: 0
  • Releases: 0
Topics
lpdaac
Created over 3 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

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 | | datadiscoveryCMRAPIrequests.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| | findingdatacmr-stac_api.ipynb | Jupyter Notebook | Demonstrates how to search for Earthdata data collections and granules using CMR-STAC API and pystac_client Python package| | DataDiscoveryCMRAPIBulk_Query.ipynb | Jupyter Notebook | Demonstrates how to search and extract data URLs for an entire collection using Python's asyncio package| | glance_access.ipynb | Jupyter Notebook | Demonstrates how to search for process and visualize GLanCE30 Land Cover Data using Python| | createnetrcfile.md | Markdown | Demonstrates how to create a .netrc file in your home directory | | bulkdownloadusing_curl.md | Markdown | Demonstrates how to bulk download LP DAAC data using Curl from command line | | bulkdownloadusing_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 | |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| |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| |MODIS-VIIRS Data|How to find, access, and work with MODIS and VIIRS data|Tutorials| |VITALS|How to find and work with EMIT and ECOSTRESS data together |Tutorials|

Contact Info

Email: LPDAAC@usgs.gov
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://www.earthdata.nasa.gov/centers/lp-daac

¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.

Owner

  • Name: NASA
  • Login: nasa
  • Kind: organization
  • Email: nasa-data@lists.arc.nasa.gov
  • Location: United States of America

ReadOpen Data initiative here: https://www.nasa.gov/open/ & Instructions here: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md

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

GitHub Events

Total
  • Watch event: 16
  • Delete event: 18
  • Push event: 46
  • Pull request review event: 1
  • Pull request review comment event: 1
  • Pull request event: 23
  • Fork event: 9
  • Create event: 11
Last Year
  • Watch event: 16
  • Delete event: 18
  • Push event: 46
  • Pull request review event: 1
  • Pull request review comment event: 1
  • Pull request event: 23
  • Fork event: 9
  • Create event: 11

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 142
  • Total Committers: 9
  • Avg Commits per committer: 15.778
  • Development Distribution Score (DDS): 0.423
Past Year
  • Commits: 38
  • Committers: 6
  • Avg Commits per committer: 6.333
  • Development Distribution Score (DDS): 0.579
Top Committers
Name Email Commits
Mahsa Jami 8****0 82
Erik Bolch e****h@c****v 26
Bri 1****d 16
Aaron Friesz a****z@g****m 6
Aaron Friesz a****z@c****v 6
NRoberts n****s@c****v 3
nathan-roberts2 n****s@u****m 1
cpkrehbiel 3****l 1
TKantz 1****z 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 38
  • Average time to close issues: 5 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 1
  • Total pull request authors: 6
  • Average comments per issue: 6.0
  • Average comments per pull request: 0.11
  • Merged pull requests: 37
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 23
  • Average time to close issues: N/A
  • Average time to close pull requests: 17 days
  • Issue authors: 0
  • Pull request authors: 4
  • Average comments per issue: 0
  • Average comments per pull request: 0.17
  • Merged pull requests: 22
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • mjami00 (19)
  • ebolch (13)
  • amfriesz (9)
  • BriannaLind (4)
  • cpkrehbiel (1)
  • nathan-roberts2 (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

_import/environment.yml pypi
  • markdown *
  • pqdm *