Name: ORNL DAAC
Type: Organization
Bio: The ORNL DAAC archives and delivers terrestrial ecology data as part of the NASA Earth Observing System Data and Information System (EOSDIS).
Location: Oak Ridge, TN, USA
Blog: https://daac.ornl.gov
ORNL DAAC's Projects
Python: Work with hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns
R tutorial for visualizing airborne, in-situ CO2 from netCDF
Understanding AVIRIS-NG data in ENVI format with rotated grid
Utility for creating metadata curl scripts by querying https://cmr.earthdata.nasa.gov.
test thredds server for consistent results
Content from the NASA Earthdata webinar presented by ORNL DAAC in September 2019.
A dump space for info sharing with users.
OPeNDAP Access in Python to Derive Climate Normals and Anomalies of Daymet netCDF4 Yearly Data
Notebooks for Programmatic Access to Daymet V4 Data and Geospatial Analysis in Python and ArcGIS Pro
Automating the download of multiple locations for the Daymet Single Pixel Tool
Daymet netCDF file manipulation (read, write, plot, season analysis) in Python
Delta-X Applications Workshop
2024 Delta-X Applications Workshop
GEDI L3 and L4 Tutorials
A metadata extraction tool originally developed for use at the ORNL DAAC
How To: Create a Subscription in Earthdata Search
Code for REST web service to provide specific metadata for a time and place
MODIS Subsetting Tools and Services at ORNL DAAC
Examples for incorporating MODIS-VIIRS Web Service subsets into your Python workflows
Submit a batch of MODIS Global Subset Tool orders via the MODIS Web Service
Access data from the MODIS web service and perform quality filtering in Python
Access data from MODIS web service and perform quality filtering in R
How to open and work with NetCDF data in R
Opening and visualizing a netCDF file in Python
This is python 3 code for translating LaRC ICARTTs to CF compliant netCDFs for EVS missions.
Client for CMR APIs