Dynamic stratification for estimating pointwise forest characteristics

This paper deals with the testing of dynamic stratification for estimating stand level forest characteristics (basal areas, mean diameter, mean height and mean age) for a 117 ha study areas in Finland. The results do not show possibilities to achieve more accurate estimates using only Landsat TM pri...

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Main Author: Gintautas Mozgeris
Format: Article
Language:English
Published: Finnish Society of Forest Science 1996-12-01
Series:Silva Fennica
Subjects:
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spelling doaj-5653079df10c4e4f92fe1eeeeca7c7892020-11-25T03:26:41ZengFinnish Society of Forest ScienceSilva Fennica2242-40752242-40751996-12-0130110.14214/sf.a9220Dynamic stratification for estimating pointwise forest characteristicsGintautas MozgerisThis paper deals with the testing of dynamic stratification for estimating stand level forest characteristics (basal areas, mean diameter, mean height and mean age) for a 117 ha study areas in Finland. The results do not show possibilities to achieve more accurate estimates using only Landsat TM principal components as auxiliary data opposed to static stratification. It was found that in dynamic stratification non-measured observations should be assigned the mean characteristics of the measured observations that belong to the same cube (class) instead of stratification variable classes until a certain limit. If only one principal component is used the number of classes has, however, little influence. Low field values are overestimated and high values underestimated. The only successful results were obtained using two variables of different origin – the qualitative development stage class and the quantitative 1st principal component. The lowest root mean square error in estimating basal area was 6.40 m2/ha, mean diameter 3.34 cm, mean height 2.65 m and mean age 14.06 years. This increase of stratification accuracy is mainly resulted by the use of development stage class as an auxiliary variable.smi forest management planning systemdynamic stratificationstand characteristicsstatic stratificationforest mensuration
collection DOAJ
language English
format Article
sources DOAJ
author Gintautas Mozgeris
spellingShingle Gintautas Mozgeris
Dynamic stratification for estimating pointwise forest characteristics
Silva Fennica
smi forest management planning system
dynamic stratification
stand characteristics
static stratification
forest mensuration
author_facet Gintautas Mozgeris
author_sort Gintautas Mozgeris
title Dynamic stratification for estimating pointwise forest characteristics
title_short Dynamic stratification for estimating pointwise forest characteristics
title_full Dynamic stratification for estimating pointwise forest characteristics
title_fullStr Dynamic stratification for estimating pointwise forest characteristics
title_full_unstemmed Dynamic stratification for estimating pointwise forest characteristics
title_sort dynamic stratification for estimating pointwise forest characteristics
publisher Finnish Society of Forest Science
series Silva Fennica
issn 2242-4075
2242-4075
publishDate 1996-12-01
description This paper deals with the testing of dynamic stratification for estimating stand level forest characteristics (basal areas, mean diameter, mean height and mean age) for a 117 ha study areas in Finland. The results do not show possibilities to achieve more accurate estimates using only Landsat TM principal components as auxiliary data opposed to static stratification. It was found that in dynamic stratification non-measured observations should be assigned the mean characteristics of the measured observations that belong to the same cube (class) instead of stratification variable classes until a certain limit. If only one principal component is used the number of classes has, however, little influence. Low field values are overestimated and high values underestimated. The only successful results were obtained using two variables of different origin – the qualitative development stage class and the quantitative 1st principal component. The lowest root mean square error in estimating basal area was 6.40 m2/ha, mean diameter 3.34 cm, mean height 2.65 m and mean age 14.06 years. This increase of stratification accuracy is mainly resulted by the use of development stage class as an auxiliary variable.
topic smi forest management planning system
dynamic stratification
stand characteristics
static stratification
forest mensuration
work_keys_str_mv AT gintautasmozgeris dynamicstratificationforestimatingpointwiseforestcharacteristics
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