期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXVI-8/W2
出版社：Copernicus Publications
摘要：Selected findings from the ScandLaser workshops held in Ume., Sweden, September 2-4, 2003 are summarised together with recent Swedish studies related to laser scanning of forests. By use of correlative methods, such as regression analysis between laser data features and field measured forest variables, promising results have been achieved in a large number of tests in Scandinavian coniferous forests. The results are consistent for different test sites, sensors and estimation methods. Typical accuracies (RMSE), when aggregated to stand level are: for stem volume 11 – 19%; Lorey's mean height 3 – 6%; and mean stem diameter 6 – 12%. Plot and stand level analysis methods are not partcularly sensitive to scanning density. With more dense scanning (several pulses per tree) and single tree methods, more than 70% of the trees can be detected, and the tree height and diameter can be measured with about 0.6 m RMSE. By combining data from two time points, detection of the harvesting of single trees, and measurement of tree growth, have been demonstrated in Finland. By combining laser data and optical data, Norway spruce, Scots pine and deciduous trees have been discriminated with 90% overall accuracy in Swedish tests. Stand-wise inventory where laser data and photo interpretation are used in combination is now marketed as operational in Norway. The results achieved with laser scanning are better than with other sensors and a future operational breakthrough for laser scanning aided forest inventory is very likely. However, this is not likely to happen until cost efficient solutions are found. The rapid technical development, especially on the military side, will contribute to more compact sensors with high spatial resolution. Large-area sampling might be one area where laser scanning is already motivated today
