POINT ACCURACY OF A NONPARAMETRIC METHOD IN ESTIMATION OF FOREST CHARACTERISTICS WITH DIFFERENT SATELLITE MATERIALS

The reference sample plot (RSP) method is a distance-weighted k neares t neighbour estimation method, which allows simultaneous interpretatio n of several variables. In the RSP method, the k spectrally nearest fi eld plots are looked at separately for each unknown pixel, and the are a weight of the unknown pixel is divided as a function of the spectral distances to the nearest plots. The RSP method was examined in a fore st inventory for estimating stem volumes by tree species groups using different satellite materials. Two methods were tested both in searchi ng for and weighting the nearest field plots. Euclidean distance funct ions worked steadily with all the volume variables studied. The other distance measure tested was based on regression modelling. With more t han 15 plots, both covariance weighting and inverse distance weighting gave similar results. Considering the held data of this study, the su itable number of the nearest plots in plotwise estimation appeared to be between 10 and 15 plots. With Landsat TM, SPOT XS and SPOT P, the d ifferences in standard errors were minor. When combined TM and SPOT P were used, the plotwise standard error of total volume was still over 60 per cent.