A dataset containing observations of 306 systematically arranged sample plots. Auxiliary information for all 306 plots is provided in the form of LiDAR canopy height metrics. For a systematic subsample of 67 out of the 306 plots, terrestrial information of the timber volume is provided from a terrestrial survey in the year 2007. Originally the inventory was carried out as a twophase inventory and has been artificially extended to a threephase inventory for demonstration purposes.
grisonsdata frame with 306 rows and 14 columns
phase_id_2p phase-membership of each observation for the twophase inventory.
The large phase is indicated by 1, the terrestrial phase by 2.
phase_id_3p phase-membership of each observation for the threephase inventory,
i.e. the largest phase (0), the large phase (1)
and terrestrial phase (2). Note: The threephase sample scheme
was artificially created for demonstration purposes of the
threephase-functions.
boundary_weights proportion of analysis-window for auxiliary information lying within the forest.
mean mean canopy height at the sample location based on the LiDAR canopy height model.
stddev standard deviation of the LiDAR canopy height model at the sample location.
max maximum value of the LiDAR canopy height model at the sample location.
q75 75%-Quantile of the LiDAR canopy height model at the sample location.
smallarea smallarea-indicator for each observation.
tvol terrestrial timber volume from field survey. Use for twophase-inventory.
tvol.3p terrestrial timber volume from field survey. Use for threephase-inventory.
Mandallaz, D., Breschan, J., & Hill, A. (2013). 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. Canadian Journal of Forest Research, 43(11), 1023-1031.
Hill, A., Breschan, J., & Mandallaz, D. (2014). Accuracy assessment of timber volume maps using forest inventory data and LiDAR canopy height models. Forests, 5(9), 2253-2275.