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Record Search Query: [Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='ATMOSPHERE', Science_Term='ATMOSPHERIC PRESSURE']

PyNGL - A Python Interface for Scientific Visualization and Data Analysis
 Entry ID: UCAR_PyNGL

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Summary
Abstract: PyNGL, a python package for scientific visualization and data analysis and PyNIO, a Python package supporting access to a variety of data formats using an interface modelled on netCDF.
Related URL
Link: GET SERVICE > GET SOFTWARE PACKAGE
Description: Download PyNGL.
Service Citation
Originators: National Center for Atmospheric Research
Title: PyNGL - A Python Interface for Scientific Visualization and Data Analysis
Provider: National Center for Atmospheric Research
URL: http://www.pyngl.ucar.edu/
Service Keywords
DATA ANALYSIS AND VISUALIZATION >STATISTICAL APPLICATIONS Parameter Definition
DATA ANALYSIS AND VISUALIZATION >VISUALIZATION/IMAGE PROCESSING Parameter Definition

Science Keywords
AGRICULTURE >AGRICULTURAL AQUATIC SCIENCES Parameter Definition
AGRICULTURE >AGRICULTURAL CHEMICALS Parameter Definition
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ISO Topic Category
FARMING
BIOTA
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Project
ESIP >Earth Science Information Partners Program Supplemental Info
Access Constraints Users must request an account from the Earth System Grid (ESG) website to download PyNGL.
Ancillary Keywords
Visualization
Scientific Data
NetCDF

Service Provider
UCAR/NCAR/CISL/VETS > Visualization and Enabling Technologies Section, Computational and Information Systems Laboratory, National Center for Atmospheric Research, UCAR Supplemental Info
Service Organization URL: http://www.vets.ucar.edu/

Service Provider Personnel
Name: UCAR VISUALIZATION AND ENABLING TECHNOLOGIES
Email: vets at ucar.edu
Distribution Media
Distribution_Media: Online
Fees: No fees
Personnel
TYLER B. STEVENS
Role: SERF AUTHOR
Phone: (301) 614-6898
Fax: 301-614-5268
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
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Publications/References
Refer to the USDA SMEX04 Web site (http://hydrolab.arsusda.gov/smex04/) for in-depth information on the science mission and goal of the SMEX project. For more information about the AVIRIS instrument, visit the AVIRIS Web site (http://aviris.jpl.nasa.gov/).

Cheng, Y.-B., S. L. Ustin, D. Riaño, and V. C. Vanderbilt. 2008. Water Content Estimation from Hyperspectral Images and MODIS Indexes in Southeastern Arizona. Remote Sensing of Environment 112: 363-374.

Gao, B.-C., and A. F. H. Goetz. 1995. Retrieval of Equivalent Water Thickness and Information Related to Biochemical Components of Vegetation Canopies from AVIRIS Data. Remote Sensing of Environment 52: 155−162.
Creation and Review Dates
SERF Creation Date: 2007-12-05
SERF Last Revision Date: 2012-02-15
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