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Record #195238:

A spatially stratified, multi-stage cluster sampling design for assessing accuracy of the Alaska (USA) National Land Cover Database (NLCD) / Stephen V. Stehman, David J. Selkowitrz.

Title: A spatially stratified, multi-stage cluster sampling design for assessing accuracy of the Alaska (USA) National Land Cover Database (NLCD) / Stephen V. Stehman, David J. Selkowitrz.
Author(s): Stehman, Stephen V.
Selkowitrz, David J.
Date: 2010.
In: International Journal of Remote Sensing. (2010.), Vol. 31(7-8) (2010)
Abstract: Describes development of accuracy assessment sampling design that accommodates "in-progress" change in target sample size without sacrificing other desirable design criteria. Sampling design constructed to assess accuracy of National Land Cover Database for Alaska achieves these desirable criteria. Spatial stratification provides flexibility to accommodate change in sample size and cluster sampling contributes to cost-effectiveness of design.
Notes:

International Journal of Remote Sensing. Vol. 31(7-8) :1877-1896 (2010).

Keywords: 528.9 -- Cartography.
531.72 -- Calculation of land area.
528.93 -- Cartography, topographical.
53.087.23 -- Remote sensing.
574.4 -- Ecology, terrestrial.
581.52 -- Habitat, plants.
581.524.4 -- Zonation, botany.
A -- Geophysical sciences (general).
(*3) -- Arctic regions.
(*49) -- Alaska.
SPRI record no.: 195238

MARCXML

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100 1# ‡aStehman, Stephen V.
245 12 ‡aA spatially stratified, multi-stage cluster sampling design for assessing accuracy of the Alaska (USA) National Land Cover Database (NLCD) /‡cStephen V. Stehman, David J. Selkowitrz.
260 ## ‡a[S.l.] :‡b[s.n.],‡c2010.
300 ## ‡ap. 1877-1896 :‡bill., diag., tables, maps.
500 ## ‡aInternational Journal of Remote Sensing. Vol. 31(7-8) :1877-1896 (2010).
520 3# ‡aDescribes development of accuracy assessment sampling design that accommodates "in-progress" change in target sample size without sacrificing other desirable design criteria. Sampling design constructed to assess accuracy of National Land Cover Database for Alaska achieves these desirable criteria. Spatial stratification provides flexibility to accommodate change in sample size and cluster sampling contributes to cost-effectiveness of design.
530 ## ‡aAlso issued online ‡uurn:doi:10.1080/01431160902927945‡uhttps://dx.doi.org/10.1080/01431160902927945
650 07 ‡a528.9 -- Cartography.‡2udc
650 07 ‡a531.72 -- Calculation of land area.‡2udc
650 07 ‡a528.93 -- Cartography, topographical.‡2udc
650 07 ‡a53.087.23 -- Remote sensing.‡2udc
650 07 ‡a574.4 -- Ecology, terrestrial.‡2udc
650 07 ‡a581.52 -- Habitat, plants.‡2udc
650 07 ‡a581.524.4 -- Zonation, botany.‡2udc
650 07 ‡aA -- Geophysical sciences (general).‡2local
651 #7 ‡a(*3) -- Arctic regions.‡2udc
651 #7 ‡a(*49) -- Alaska.‡2udc
700 1# ‡aSelkowitrz, David J.
773 0# ‡7nnas ‡tInternational Journal of Remote Sensing. ‡gVol. 31(7-8) (2010) ‡wSPRI-1038
916 ## ‡a2011/06/17 -- JW
917 ## ‡aUnenhanced record from Muscat, imported 2019
948 3# ‡a20231202 ‡bJW