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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

Details

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

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