Samband mellan laserdata och fältdata

Abstract: To make it easier for forestry planning the forest owners needs data which describe characteristics of the forest. Such data you usually get from some type of inventory. A relatively new technology which probably is getting more important in the future, is laser scanning because of lower costs. But because the laser technology is relatively new you need to compare it with conventional inventory technologies to get better understanding of the possibilities the laser technology gives. This work intends to estimate field measured characteristics of the forest from laser data with help of regression analysis and then see which of the field measured properties that best could be estimated and which laser variables that gave the best results. This study shows that heights has the best estimates, but biomass, diameter and volume also gives good estimates. How stem numbers and age does not give equally good estimates. Which probably depends on that these variables only measured indirect by characteristics which is correlated with these data. The coefficient of determination and RMSE % become; high 88,6 %, 8 %; biomass 79,1 %, 23,3 %; diameter 78,3 %, 13,7%; volume 73,8 %, 29 %; stem number 66,4 %, 36 %; and for age 63,5 %, 27 %. The laser variables which seem to be most important were percentiles and different ratios which describe density of points. In the future there is a great potential for laser scanning which can be used for inventories in forest planning.