Sampling Techniques for Forest Inventories

By D. Mandallaz. 2007

163 citations recorded by the source corpus.

Subfields: Ecology

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Doubly balanced spatial sampling with spreading and restitution of auxiliary totals (2013, methodology): “The most usual methods are systematic sampling, spatial stratification Generalized Random-Tessellation Stratifie (GRTS) sampling (see among others Ripley, 1981; Thompson, 1992; Stevens and Olsen, 2003, 2004; Mandallaz, 2008; Marker and Stevens, 2009).”
National mapping and estimation of forest area by dominant tree species using Sentinel-2 data (2020, methodology): “The ratio estimator utilized to this end (Mandallaz 2007, p. 64), however, does not profit from more precise area estimates.”
Seeing the forest beyond the trees (2015, methodology): “Without any optimized spatial sampling used in the forest inventory techniques (Mandallaz, 2007) the interpolated surfaces of the AGB offered by Mitchard et al. (2014) are erroneous and do not provide any further information than the original plots.”
Spatial prediction of forest stand variables (2009, methodology): “For the purpose of local predictions of stem density and basal area from double sampling inventory schemes geostatistical approaches were successfully applied by Mandallaz (1993, 2008).”