alsTree: Individual tree characteristics and ALS data

Description Usage Format Details References Examples

Description

Field-measured and remotely sensed characteristics of 1510 individual Scots Pine trees from 56 sample plots in Kiihtelysvaara, Eastern Finland.

Usage

1

Format

A data frame with 1510 observations on the following 15 variables.

plot

Sample plot id, integer

tree

Tree id, integer

DBH

Tree diameter at breast height, cm

H

Tree height, m

V

Tree volume, m^2)

HDB

Height of lowest dead branch, m

HCB

Crown base height, m

hmax

Maximum return height, m

h20

20th percentile of return heights within the tree crown, m

h30

30th percentile of return heights within the tree crown, m

h70

70th percentile of return heights within the tree crown, m

h80

80th percentile of return heights within the tree crown, m

a_hmean

Mean height of returns in the 250m^2 neighbourhood of the tree, m

a_veg

Proportion of returns from vegetation in the 250m^2 neighbourhood of the tree, m

a_h30

30th percentile of returns in the 250m^2 neighbourhood around the tree, m

a_h70

70th percentile of returns in the 250m^2 neighbourhood around the tree, m

Details

Field measurements of tree diameter and height, height of dead branch and crown base height and tree location were taken from the trees in a field campaign. Volume was estimated based on diameter, height and upper stem diameter. In addition, the area was remotely sensed using airborne laser scanning. Detectable individual trees were delineated from the ALS point cloud and associated with the field measurements. From a large set of tree-specific ALS characteristics, the data includes those that were used in the final models of stand characteristics in Maltamo et al (2012).

References

Maltamo, M., Mehtatalo, L., Vauhkonen, J. and Packalen, P. 2012. Predicting and calibrating tree attributes by means of airborne laser scanning and field measurements. Canadian Journal of Forest Research 42: 1896-1907. doi: 10.1139/x2012-134

Mehtatalo, Lauri and Lappi, Juha 2020. Biometry for Forestry and Environmental Data: with examples in R. New York: Chapman and Hall/CRC. 426 p. doi: 10.1201/9780429173462.

Examples

1

Example output

Loading required package: stats4
Loading required package: nlme
Loading required package: spatstat
Loading required package: spatstat.data
Loading required package: rpart

spatstat 1.59-0       (nickname: 'J'ai omis les oeufs de caille') 
For an introduction to spatstat, type 'beginner' 


Note: R version 3.4.4 (2018-03-15) is more than 9 months old; we strongly recommend upgrading to the latest version

lmfor documentation built on July 8, 2020, 5:49 p.m.