gedi_tutorials

GEDI L3 and L4 Tutorials

https://github.com/ornldaac/gedi_tutorials

Science Score: 62.0%

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
    2 of 3 committers (66.7%) from academic institutions
  • Institutional organization owner
    Organization ornldaac has institutional domain (daac.ornl.gov)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary

Keywords

aboveground-biomass altimetry canopy-metrics gedi lidar nasa-data
Last synced: 7 months ago · JSON representation ·

Repository

GEDI L3 and L4 Tutorials

Basic Info
Statistics
  • Stars: 126
  • Watchers: 8
  • Forks: 52
  • Open Issues: 0
  • Releases: 1
Topics
aboveground-biomass altimetry canopy-metrics gedi lidar nasa-data
Created over 4 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog License Citation

README.md

GEDI Science Data Tutorials

Overview

These tutorials demonstrate how to discover, access, and use GEDI science data products archived at the ORNL DAAC. GEDI L3, L4A, L4B, and L4C data products are available in various data tools and services.

GEDI L4A Footprint Level Aboveground Biomass Density

Jupyter Notebooks

  1. Search and download GEDI L4A dataset: search and download GEDI L4A granules over an area of interest to a local machine
  2. Subset GEDI L4A footprints: subset downloaded GEDI L4A granules to an area of interest
  3. Explore GEDI L4A data structure: explore data structure, variables, and quality flags of the GEDI L4A dataset.
  4. Direct S3 Access GEDI L4A from the NASA EarthData Cloud: retrieve the GEDI L4A dataset from NASA Earthdata Cloud using direct S3 access. Open in SageMaker Studio Lab
  5. Access GEDI L4A dataset with NASA OPeNDAP in the Cloud: access selected variables for the GEDI L4A dataset within an area of interest using OPeNDAP Hyrax
  6. Access GEDI L4A dataset with NASA Harmony API: direct access and subset the GEDI L4A variables using NASA Harmony API
  7. Reproduce L4A AGBD estimates from GEDI L2A RH metrics: reconstruct L4A AGBD estimates using L2A relative height (RH) metrics
  8. Apply correction to AGBD estimates for selected L4A shots, Version 2: apply AGBD correction to Version 1 (V001) GEDI L4A shots affected with the algorithm setting group 10 issue
  9. On-Cloud Data Retrieval and Analysis: Aboveground biomass from GEDI, ICESat-2 and Field Data: directly access and retrieve the GEDI dataset, ICESat-2 and Field Data in the cloud

Python Scripts

  1. Search and download GEDI L4A dataset: downloads GEDI L4A granules to a local directory based on GeoJSON polygon
  2. Subset GEDI L4A footprints: subsets the downloaded GEDI L4A granules by a GeoJSON polygon file
  3. Subset GEDI L4A with NASA OPeNDAP in the Cloud: accesses the GEDI L4A dataset using NASA's OPeNDAP Hyrax

GEDI L4B Gridded Aboveground Biomass Density

Jupyter Notebooks

  1. Access GEDI L4B Dataset with OGC Web Services: visualize and access the GEDI L4B dataset using the OGC WMS and WCS services

{include} citation.md

Owner

  • Name: ORNL DAAC
  • Login: ornldaac
  • Kind: organization
  • Location: Oak Ridge, TN, USA

The ORNL DAAC archives and delivers terrestrial ecology data as part of the NASA Earth Observing System Data and Information System (EOSDIS).

Citation (citation.md)

# Cite Tutorial

To cite the tutorial in your publications, please use the following Zenodo reference:

```{only} html
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.xxx.svg)](https://doi.org/10.5281/zenodo.xxx)
```

A full list of contributors is available [here](https://github.com/ornldaac/gedi_tutorials/graphs/contributors).

GitHub Events

Total
  • Watch event: 17
  • Push event: 5
  • Fork event: 3
Last Year
  • Watch event: 17
  • Push event: 5
  • Fork event: 3

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 83
  • Total Committers: 3
  • Avg Commits per committer: 27.667
  • Development Distribution Score (DDS): 0.024
Past Year
  • Commits: 7
  • Committers: 1
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Shrestha, Rupesh s****r@o****v 81
Bruce Wilson u****a@g****m 1
Shrestha r****s@m****v 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 11
  • Total pull requests: 0
  • Average time to close issues: 13 days
  • Average time to close pull requests: N/A
  • Total issue authors: 10
  • Total pull request authors: 0
  • Average comments per issue: 4.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • btudor01 (2)
  • jpswinski (1)
  • Prakash-Basnet (1)
  • shamik394 (1)
  • ddy1912 (1)
  • boswellp (1)
  • sbanchero (1)
  • jaimebayes (1)
  • smita2021 (1)
  • Yanhao29 (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
proxy.golang.org: github.com/ornldaac/gedi_tutorials
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 7 months ago

Dependencies

requirements.txt pypi
  • IPython *
  • contextily *
  • folium *
  • geopandas *
  • h5py *
  • harmony-py *
  • matplotlib *
  • matplotlib_scalebar *
  • netCDF4 *
  • numpy *
  • owslib *
  • pandas *
  • pydap *
  • rasterio *
  • rasterstats *
  • requests *
  • s3fs *
  • scipy *
  • seaborn *
  • shapely *
  • tabulate *