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Parameters Describing Earth Observing Remote Sensing SystemsThe Earth science community needs to generate consistent and standard definitions for spatial, spectral, radiometric, and geometric properties describing passive electro-optical Earth observing sensors and their products. The parameters used to describe sensors and to describe their products are often confused. In some cases, parameters for a sensor and for its products are identical; in other cases, these parameters vary widely. Sensor parameters are bound by the fundamental performance of a system, while product parameters describe what is available to the end user. Products are often resampled, edge sharpened, pan-sharpened, or compressed, and can differ drastically from the intrinsic data acquired by the sensor. Because detailed sensor performance information may not be readily available to an international science community, standardization of product parameters is of primary performance. Spatial product parameters described include Modulation Transfer Function (MTF), point spread function, line spread function, edge response, stray light, edge sharpening, aliasing, ringing, and compression effects. Spectral product parameters discussed include full width half maximum, ripple, slope edge, and out-of-band rejection. Radiometric product properties discussed include relative and absolute radiometry, noise equivalent spectral radiance, noise equivalent temperature diffenence, and signal-to-noise ratio. Geometric product properties discussed include geopositional accuracy expressed as CE90, LE90, and root mean square error. Correlated properties discussed include such parameters as band-to-band registration, which is both a spectral and a spatial property. In addition, the proliferation of staring and pushbroom sensor architectures requires new parameters to describe artifacts that are different from traditional cross-track system artifacts. A better understanding of how various system parameters affect product performance is also needed to better ascertain the utility of existing datasets and products as well as to specify the performance of new sensors and products. Examples of simulations performed for the Landsat Data Continuity Mission illustrate how various parameters affect system and product performance. Specific examples include the effects of ground sample distance, MTF, and band-to-band registration on various products.
Document ID
20040008397
Acquisition Source
Stennis Space Center
Document Type
Conference Paper
Authors
Zanoni, Vicki
(NASA Stennis Space Center Stennis Space Center, MS, United States)
Ryan, Robert E.
(Lockheed Martin Space Operations Bay Saint Louis, MS, United States)
Pagnutti, Mary
(Lockheed Martin Space Operations Bay Saint Louis, MS, United States)
Davis, Bruce
(NASA Stennis Space Center Stennis Space Center, MS, United States)
Markham, Brian
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Storey, Jim
(Science Applications International Corp. Greenbelt, MD, United States)
Date Acquired
August 21, 2013
Publication Date
September 26, 2003
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
SE-2003-09-00084-SSC
Meeting Information
Meeting: ISPRS Commission 1/Working Group 2 International Workshop on Radiometric and Geometric Calibration
Location: Gulfport, MS
Country: United States
Start Date: December 2, 2003
End Date: December 5, 2003
Funding Number(s)
CONTRACT_GRANT: NAS13-650
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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