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Articles containing the keyword 'k-nearest neighbours estimation'
Category : Research note
article id 324,
category
Research note
(2006).
Empirical errors of small area estimates from the multisource National Forest Inventory in Eastern Finland.
Silva Fennica
vol.
40
no.
4
article id 324.
https://doi.org/10.14214/sf.324
Keywords:
k-nearest neighbours estimation;
Landsat ETM ;
multisource forest inventory;
synthetic estimation
Abstract |
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Author Info
The precision of multisource national forest inventory (MS-NFI) estimators and simple synthetic estimators based on NFI field data only was assessed employing an independent inventory data set of several small areas in Eastern Finland. There were seven test units of size 100 km2 and three test units of size 1 km2 for which a systematic field sampling was carried out. The ‘improved’ MS-NFI method yielded the most precise estimates for mean volume and mean volume of pine and spruce: relative root mean square errors (RMSE*) were 5%, 12% and 15% for 100 km2 test units and 13%, 27% and 40% for 1 km2 test units respectively. The stratified MS-NFI method was best for broad-leaved volume estimation. Synthetic estimation based on the NFI9 field plots post-stratified with coarse scale forest variable maps from NFI8 resulted in RMSE*s comparable to those of the ordinary MS-NFI in areas of 100 km2 for mean volume and mean volume of pine and spruce. The amount of variation between the field inventory estimates for the test units explained by the MS-NFI estimators remained the same or increased when the size of the area increased from of 1 km2 to 100 km2 and up to 2000 km2. The validation of the largest areas was made against the NFI9 field inventory estimates for groups of municipalities in the study area.
-
Katila,
Finnish Forest Research Institute, Unioninkatu 40 A, FI-00170 Helsinki, Finland
E-mail:
mk@nn.fi
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