Deriving nationwide estimates of forest variables for Sweden using Landsat ETM+ and field data Mats Nilsson Department of Forest Resource Management and Geomatics, Swedish University of Agricultural Sciences, Umeå, Sweden

Objectives Create a nationwide raster database with estimated forest variables Covers forested areas according to existing map data (1:100 000)

”kNN-Sweden” Produces estimates of - Total stem volume Stem volume by species Tree height Stand age New cycle with SPOT data

Other wooded land: 3 mil. ha Other land: 10 mil. ha Statistics from the Swedish National Forest Inventory (NFI) Total land area: 41 mil. ha Forest: 28 mil. ha Other wooded land: 3 mil. ha Other land: 10 mil. ha Prop. Scots pine: 40 % Prop. Norway spruce 42 % Prop. Deciduous trees 18 %

The k Nearest Neighbour method total stem volume stem volume per tree species age tree height kNN Satellite images Map data Field data From the NFI

Landsat ETM+ Ortho-rectified Haze correction Illumination correction

NFI data Plots from a 5 year period Forecasting data >1000 plots/scene Matching field plots and image data

Digital Map Data 5 km Scale 1:100 000

Dalarna

Users Swedish National Forest Inventory Swedish University of Agricultural Sciences Forest agency Environmental Protection Agency County Administration Boards Swedish National Tax Board Researchers