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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 |
LDR 01778naa#a2200000#a#4500 001 SPRI-195238 005 20231202212211.0 007 ta 008 231202s2010####xx#ab#|##|###|0||#0|eng#d 035 ## ‡aSPRI-195238 040 ## ‡aUkCU-P‡beng‡eaacr 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