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Global Change Master Directory (GCMD)
Advanced Land Image Assessment Systems (ALIAS)
Entry ID: NASA_ALIAS


Summary
Abstract: The Advanced Land Image Assessment Systems (ALIAS) supports radiometric and geometric image processing for the Advanced Land Imager (ALI) instrument on board NASA's Earth Observing-1 (EO-1) satellite. ALIAS consists of two processing subsystems for radiometric and geometric processing of the ALI's multispectral imagery. The radiometric processing subsystem characterizes and corrects, where possible, radiometric qualities including: detector operability; gain; bias; coherent, impulse and random noise; signal-to-noise ratios (SNR); saturation levels; striping and banding; and the stability of detector performance. The geometric processing subsystem and analysis capabilities support sensor alignment calibrations; sensor chip assembly (SCA)-to-SCA alignments and related issues; geodetic accuracy assessments; modulation transfer function (MTF) characterizations; and perform image-to-image characterizations. The ALIAS also characterizes and corrects band-to-band registration, and performs systematic, precision and terrain correction of ALI images. The ALIAS can geometrically correct and automatically mosaic the SCA image strips into a seamless, map-projected image. The ALIAS was developed through collaboration between NASA and the U.S. Geological Survey (USGS).

[Summary provided by NASA.]

Related URL
Link: DOWNLOAD SOFTWARE
Description: Download the Advanced Land Image Assessment Systems (ALIAS) software.


Link: VIEW RELATED INFORMATION > USER'S GUIDE
Description: Documentation on the Advanced Land Image Assessment Systems (ALIAS).

ISO Topic Category
GEOSCIENTIFIC INFORMATION
IMAGERY/BASE MAPS/EARTH COVER


Platform
EO-1 >Earth Observing 1    [Information]
LANDSAT-7    [Information]


Instrument
ALI >Advanced Land Imager    [Information]
ETM+ >Enhanced Thematic Mapper Plus    [Information]


Access Constraints
This software is released under the terms and conditions of the NASA Open Source Agreement (NOSA).


Keywords
Open Source
Image Processing
Radiometric processing
Geometric processing


Personnel
TYLER B. STEVENS
Role: SERF AUTHOR
Phone: 301-851-8113
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
5700 Rivertech Court
City: Riverdale
Province or State: MD
Postal Code: 20737
Country: USA


JOSEPH M. HOWARD
Role: TECHNICAL CONTACT
Email: Joseph.M.Howard at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA


Extended Metadata Properties
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Creation and Review Dates
SERF Creation Date: 2007-11-01
SERF Last Revision Date: 2018-04-25



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