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Spatial degradation of satellite dataConsideration is given to a technique for spatially degrading high-resolution satellite data to produce comparable data sets over a range of coarser resolutions. Landsat MSS data is used to produce seven spatial resolution data sets by applying a spatial filter designed to simulate sensor response. Also, spatial degradation of coarse resolution data to provide data compression for the production of global-scale data sets is examined. NOAA AVHRR Global Area Coverage data is compared to other sampling procedures. It is found that sampling procedures that incorporate averaging result in decreased variance, while sampling procedures adopting single-value selection have higher variances and produce data values comparable with those from the original data.
Document ID
19900024144
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Justice, C. O.
(Maryland, University College Park, United States)
Markham, B. L.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Townshend, J. R. G.
(Reading, University United Kingdom)
Kennard, R. L.
(Science Applications Research Lanham, MD, United States)
Date Acquired
August 14, 2013
Publication Date
September 1, 1989
Publication Information
Publication: International Journal of Remote Sensing
Volume: 10
ISSN: 0143-1161
Subject Category
Earth Resources And Remote Sensing
Accession Number
90A11199
Funding Number(s)
CONTRACT_GRANT: NERC-F60/G6/12
CONTRACT_GRANT: NAG5-942
Distribution Limits
Public
Copyright
Other

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