Sentence examples for samples of forest from inspiring English sources

Several samples of forest soil were taken and subjected to various environmental treatments to alter their humidity content.

LiDAR measurements provide samples of forest structure that must be integrated with satellite imagery to predict and to map landscape scale variations of forest structure.

We can observe some differences in the Baa/(Baa+Chry) ratio, whose values are lower than 0.35, corresponding to a mixture of pyrogenic and petrogenic sources in the 10 samples of forest soils.

In this study, we determined organic matter composition, nutrient dynamics and microbial activity in samples of forest floor litter collected over a two year period under two native oak species, Quercus castanea (Qc) and Quercus deserticola (Qd), growing in a semi-natural deciduous forest in central Mexico.

Percentages may not total 100%% due to rounding Table 2 Descriptive statistics of respondents and samples of forest owners and forest managers (in %)   All respondents Owners (O) Managers (M)       Active (O1) Passive (O2) Public (M1) Private (M2) P values H0: O = M P values H0: O1 = O2 P values H0: M1 = M2 Belief: Do you think that climate change is happening?

Both maps use spaceborne LiDAR data from the Geoscience Laser Altimeter System (GLAS) as samples of forest structure distributed across the tropics, but the two approaches use a different method to extend the isolated GLAS footprints to full-coverage AGB maps.

The required number of soil samples could be decreased by 45% with a simultaneous sampling of forest floor and upper mineral soil, leading to more reliable SOC inventories.

New technologies offer the possibility to generate spatially explicit biomass maps using a more limited network of forest inventory plots and large-area sampling of forest heights with airborne or spaceborne LiDAR [40 42].

The local scale study encompasses LiDAR plots collected Mai Ndombe province, which are part of a collection of LiDAR collected in a stratified random manner throughout the DRC, producing an unbiased sampling of forest areas.

The remote sensing kNN-data is calibrated against field data from the National Forest Inventory, i.e. the annual national field sample of forest variables [42].

New technologies offer the possibility to generate spatially explicit biomass maps using a more limited network of forest inventory plots and large-area sampling of forest heights with airborne or spaceborne LiDAR [ 40- 42].