Improving forest field inventories by using remote sensing data in novel sampling designs

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Canadian Journal of Forest Research, Vol. 43, Iss. 11, 2013-01 ,pp. : 1015-1022

NRC Research Press

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New regression estimators in forest inventories with two-phase sampling and partially exhaustive information: a design-based Monte Carlo approach with applications to small-area estimation

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Canadian Journal of Forest Research, Vol. 43, Iss. 11, 2013-01 ,pp. : 1023-1031

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Geostatistical modeling of riparian forest microclimate and its implications for sampling

By Eskelson Bianca N.I.   Anderson Paul. D.   Hagar Joan C.   Temesgen Hailemariam  

Canadian Journal of Forest Research, Vol. 41, Iss. 5, 2011-05 ,pp. : 974-985

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Comparison of estimators in one-phase two-stage Poisson sampling in forest inventories

By Massey Alexander  

Canadian Journal of Forest Research, Vol. 42, Iss. 10, 2012-10 ,pp. : 1865-1871

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Angle count sampling reliability as ground truth for area-based LiDAR applications in forest inventories

By Scrinzi Gianfranco   Clementel Fabrizio   Floris Antonio  

Canadian Journal of Forest Research, Vol. 45, Iss. 4, 2015-01 ,pp. : 506-514

NRC Research Press

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