Satellite image aided forest site quality estimation for forest income taxation

Abstract

Two operative forest site class estimation methods utilizing satellite images have been developed for forest income taxation purposes. For this, two pixelwise classification methods and two post-processing methods for estimating forest site fertility are compared using different input data. The pixelwise methods are discriminant analysis, based on generalized squared distances, and logistic regression analysis. The stand delineation is obtained by using ordinary segmentation techniques. The spectral values of images are corrected using a digital elevation model of the terrain. Some textural features are preliminarily tested in classification. All methods are justified by using independent test data. A test of the practical methods were carried out and a cost-benefit analysis computed. Cost savings would rise even to 60% if that version of the method were chosen where field checkings are totally omitted. The classification accuracy at the forest holding level would still be similar to that of the traditional method. -from Author