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Chapter 17
organic layer, drainage accomplished or proposed, forest income
taxation class, etc.),
crown layer information (e.g., species of layer, development class, stand
establishment, dominant tree species, species mixture, number of stem,
quality, mean diameter or height, age, syndrome, originating time, cause
and seriousness of damages),
stand level information (e.g., damages, lichen survey, stand quality,
accomplished measures and time, proposed measures and time, basal
area).
Tree level data are measured with two intensities, at tally tree level and
sample tree level. The tally trees variables are measured for each tree tallied:
coordinates (only on permanent plots),
tree species,
diameter,
timber assortment class and its precision,
crown layer.
The additional variables measured at sample tree level (each 7th tally
tree) are:
origin of tree
upper diameter (at the height of 6 m, on every 9th cluster)
bark thickness (only on every 9th cluster)
height of dead branches
height of green branches
height and length of broken part
height increment
diameter increment, at the height of 1.3 m
age at 1.3 m and age - age at 1.3 m.
Damage information includes
syndrome and time of origin
cause and length of rotten part
seriousness
defoliation
lengths and timber quality classes of each part of stem, timber
assortments class, reasons for possible lowering.
The total number of parameters measured in the field is about 150.
Several other parameters are derived in the subsequent computation phase.
For multi-source parameter estimation, a non-parametric k nearest neighbor
estimation method has been developed (Tomppo 1991, 1993 and 1997). The
main advantages of the method are:
much more detailed information about forests can be obtained with very
low additional costs compared to the inventory methods which employ
sampling and field measurements only
Chapter 17
organic layer, drainage accomplished or proposed, forest income
taxation class, etc.),
crown layer information (e.g., species of layer, development class, stand
establishment, dominant tree species, species mixture, number of stem,
quality, mean diameter or height, age, syndrome, originating time, cause
and seriousness of damages),
stand level information (e.g., damages, lichen survey, stand quality,
accomplished measures and time, proposed measures and time, basal
area).
Tree level data are measured with two intensities, at tally tree level and
sample tree level. The tally trees variables are measured for each tree tallied:
coordinates (only on permanent plots),
tree species,
diameter,
timber assortment class and its precision,
crown layer.
The additional variables measured at sample tree level (each 7th tally
tree) are:
origin of tree
upper diameter (at the height of 6 m, on every 9th cluster)
bark thickness (only on every 9th cluster)
height of dead branches
height of green branches
height and length of broken part
height increment
diameter increment, at the height of 1.3 m
age at 1.3 m and age - age at 1.3 m.
Damage information includes
syndrome and time of origin
cause and length of rotten part
seriousness
defoliation
lengths and timber quality classes of each part of stem, timber
assortments class, reasons for possible lowering.
The total number of parameters measured in the field is about 150.
Several other parameters are derived in the subsequent computation phase.
For multi-source parameter estimation, a non-parametric k nearest neighbor
estimation method has been developed (Tomppo 1991, 1993 and 1997). The
main advantages of the method are:
much more detailed information about forests can be obtained with very
low additional costs compared to the inventory methods which employ
sampling and field measurements only