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Description edit
The difficulties inherent in assessing the accuracy of large-area spatial data sets, their subsequent analysis by GIS, and their importance to landscape characterization make the development of methods for robust accuracy assessment a critical challenge. In December 2002, the U.S. EPA... read more
Ridiculously Simplified Synopsis edit
Characters/People edit
- S.v.stehman: Add a description of this character.
- R.g.congalton
- Shao
- Gopal
- L.yang
- J.d.wickham
- Chen
- Brown
- Woodcock
- K.green
- Vogelmann
- Lowell
- Lewis
- Campbell
- Jensen
- R.l.czaplewski
- Juncus R.
- Leblanc
- Anderson
- R.v.o’neill
- Hammond
- J.m.
- Zhu
- Ramsey
- Steele
- Panicum H.
- Cressie
- J.h.smith
- Rosenfield
- J.r.
- R.congalton
Setting & Locations edit
- Australia
- New York
- Washington
- Brazil
- Arizona
- Kappa
- United States
- Rondônia
- Hertford
- Pointe Mouillee
- Amazonia
- Mexico
- Michigan
- G.m.
- Canberra
- Verbyla
- Rondonia
- Guindon
- Maryland
- Study Area
- Machadinho
- Bethesda
- London
- California
- North Carolina
- Sydenstricker-neto
- Benediktsson
- Tucson
- San Pedro River
- New Jersey
- Ontario
- Virginia
- Sonora
First Sentence edit
The need for assessing the accuracy of a map generated from any remotely sensed data has become universally recognized as an integral project component.
Classification edit
- Library of Congress: Add the Library of Congress Classification.
- Dewey: 621.3678
Subjects edit
- Books › Professional & Technical › Engineering › Computer Technology › Remote Sensing
- Books › Professional & Technical › Engineering › Civil › Environmental
- Books › Professional & Technical › Professional Science › Earth Sciences › Geography
- Books › Professional & Technical › Professional Science › Earth Sciences › Environmental Science
- Books › Science › Earth Sciences › Geophysics
- Books › Science › Earth Sciences › Geography
- Books › Science › Earth Sciences › Environmental Science
- Books › Science › Mathematics
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