ornldaac 14 Repositories
ornldaac/airborne
NASA Airborne Data Tutorials
Language: Jupyter Notebook - Size: 85.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 12 - Forks: 5
ornldaac/gedi_tutorials
GEDI L3 and L4 Tutorials
Language: Jupyter Notebook - Size: 36.9 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 131 - Forks: 51
ornldaac/tesvis
Resources on the ORNL DAAC's Terrestrial Ecology Subsetting & Visualization Services (TESViS) tools
Language: Jupyter Notebook - Size: 4.31 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 10 - Forks: 3
ornldaac/daymet-single-pixel-batch
Automating the download of multiple locations for the Daymet Single Pixel Tool
Language: Java - Size: 36.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 23
ornldaac/bioscape_workshop_sa
Bioscape Workshop, Capetown, South Africa
Language: Jupyter Notebook - Size: 79.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1
ornldaac/cms
NASA Carbon Monitoring System (CMS) Data Tutorial
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ornldaac/deltax_workshop_2024
2024 Delta-X Applications Workshop
Language: Jupyter Notebook - Size: 284 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 4
ornldaac/deltax_workshop_2022
Delta-X Applications Workshop
Language: Jupyter Notebook - Size: 263 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 4
ornldaac/daymet_netcdf_season-avg
Daymet netCDF file manipulation (read, write, plot, season analysis) in Python
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6
ornldaac/netCDF_data_in_R
How to open and work with NetCDF data in R
Language: HTML - Size: 8.81 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4
ornldaac/modis_restservice_qc_filter_Python
Access data from the MODIS web service and perform quality filtering in Python
Language: Jupyter Notebook - Size: 401 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 19
ornldaac/above-airborne-avirisng-python
Python: Work with hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns
Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 11
ornldaac/web_services_data_access
Accessing data through ORNL DAAC web services (MODIS, Daymet, SDAT)
Language: Jupyter Notebook - Size: 158 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 4
ornldaac/r-geospatial-webinar Fork of jessnicwelch/edwebinar_mar19
Earthdata Webinar March 2019
Language: HTML - Size: 17 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 25
ornldaac/daac-user-queries
A dump space for info sharing with users.
Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: almost 3 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
ornldaac/granulemeta
A metadata extraction tool originally developed for use at the ORNL DAAC
Language: Python - Size: 290 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
ornldaac/modis_restservice_qc_filter_R
Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 5
ornldaac/how-to-earthdata-search-subscriptions
How To: Create a Subscription in Earthdata Search
Size: 2.63 MB - Last synced at: about 3 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
ornldaac/webinar-modis-viirs-august2018
Webinar: NASA ORNL DAAC MODIS and VIIRS Data Tools and Services at your Fingertips
Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 7
ornldaac/AVIRIS-NG_ENVI-rotatedgrid
Understanding AVIRIS-NG data in ENVI format with rotated grid
Size: 1.66 MB - Last synced at: over 3 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0
ornldaac/AVIRIS-NG_PCA
Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: over 3 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1
ornldaac/uavsar_tutorials
Tutorials on UAVSAR
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: over 3 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
ornldaac/Airborne_CO2
R tutorial for visualizing airborne, in-situ CO2 from netCDF
Size: 8.43 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
ornldaac/daymet-python-opendap-xarray
Notebooks for Programmatic Access to Daymet V4 Data and Geospatial Analysis in Python and ArcGIS Pro
Language: Jupyter Notebook - Size: 5.33 MB - Last synced at: over 3 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 12
ornldaac/gridded_subset_example_script
Language: Shell - Size: 4.75 MB - Last synced at: over 3 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 7
ornldaac/modis_webservice_qc_filter_R 📦
Access data from MODIS web service and perform quality filtering in R
Language: Jupyter Notebook - Size: 296 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1
ornldaac/daymet-TDStiles-batch
Language: Jupyter Notebook - Size: 30 MB - Last synced at: over 3 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1
ornldaac/create_publication_quality_netcdf
Content from the NASA Earthdata webinar presented by ORNL DAAC in September 2019.
Language: Jupyter Notebook - Size: 556 KB - Last synced at: over 3 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 9
ornldaac/modis
MODIS Subsetting Tools and Services at ORNL DAAC
Language: Jupyter Notebook - Size: 843 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 8
ornldaac/netcdf_open_visualize_csv
Opening and visualizing a netCDF file in Python
Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 8
ornldaac/modis-viirs-rest-api-python
Examples for incorporating MODIS-VIIRS Web Service subsets into your Python workflows
Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: over 3 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
ornldaac/sif-esdr_thredds
Spatial and Temporal Subsetting of Gridded SIF Data
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: about 3 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
ornldaac/daymet-normals-anomalies-years
OPeNDAP Access in Python to Derive Climate Normals and Anomalies of Daymet netCDF4 Yearly Data
Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
ornldaac/SPET-Analysis
Language: Jupyter Notebook - Size: 623 KB - Last synced at: over 3 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
ornldaac/ornldaac_icartt_to_netcdf Fork of jjmcnelis/ornldaac_icartt_to_netcdf
This is python 3 code for translating LaRC ICARTTs to CF compliant netCDFs for EVS missions.
Language: Python - Size: 259 MB - Last synced at: over 3 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
ornldaac/identify-metadata
Code for REST web service to provide specific metadata for a time and place
Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1
ornldaac/sdat_wms_python_clumping_index
Access ORNL DAAC WMS Service using Python
Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
ornldaac/modis_global_tool_batch_order
Submit a batch of MODIS Global Subset Tool orders via the MODIS Web Service
Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 10
ornldaac/compare_downloads
test thredds server for consistent results
Language: Python - Size: 1.03 MB - Last synced at: over 3 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
ornldaac/cmr-metadata-query
Utility for creating metadata curl scripts by querying https://cmr.earthdata.nasa.gov.
Language: Python - Size: 24.4 KB - Last synced at: over 3 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
ornldaac/pyCMR Fork of nasa/pyCMR
Client for CMR APIs
Language: Python - Size: 41 KB - Last synced at: over 3 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
The ORNL DAAC archives and delivers terrestrial ecology data as part of the NASA Earth Observing System Data and Information System (EOSDIS).
- JSON API: repos.ecosyste.ms