Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /

01

Bibliographic Details
Main Authors: Mowrer, H. Todd, Congalton, Russell G.
Format:
Language:eng
Published: Chelsea, Mich. : Ann Arbor Press, 2000
Subjects:
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author Mowrer, H. Todd
Congalton, Russell G.
author_facet Mowrer, H. Todd
Congalton, Russell G.
author_sort Mowrer, H. Todd
collection OCEAN
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institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T00:13:37Z
publishDate 2000
publisher Chelsea, Mich. : Ann Arbor Press,
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spelling KOHA-OAI-TEST:2346952020-12-19T17:07:06ZQuantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing / Mowrer, H. Todd Congalton, Russell G. Chelsea, Mich. : Ann Arbor Press,2000eng01PSZJBLGeographic information systemsRemote sensingSpatial analysis (Statistics)Natural resourcesURN:ISBN:1575041316 (HB)
spellingShingle Geographic information systems
Remote sensing
Spatial analysis (Statistics)
Natural resources
Mowrer, H. Todd
Congalton, Russell G.
Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /
title Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /
title_full Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /
title_fullStr Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /
title_full_unstemmed Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /
title_short Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing /
title_sort quantifying spatial uncertainty in natural resources theory and applications for gis and remote sensing
topic Geographic information systems
Remote sensing
Spatial analysis (Statistics)
Natural resources
work_keys_str_mv AT mowrerhtodd quantifyingspatialuncertaintyinnaturalresourcestheoryandapplicationsforgisandremotesensing
AT congaltonrussellg quantifyingspatialuncertaintyinnaturalresourcestheoryandapplicationsforgisandremotesensing