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：2000
卷号：XXXIII Part B7(/1-4)
页码：911-919
出版社：Copernicus Publications
摘要：Nowadays in Poland a creation of Regional Soils Information System is needed. This system should fulfil the geometric and thematic accuracy criteria required for maps at the 1:100 000 scale. The first component of such a system could be a geographical soils database. For the whole country area the soil-agricultural maps at the scale 1/100 000 exist. Using these maps it is possible to begin the process of soils database establishing. Unfortunately these maps cover only agricultural areas. The soils covered by forest are marked on these maps only by label "forests". For the needs of Regional Soils Information System creation it is necessary to acquire the data about the forested soils. For the forested areas there are detailed soil maps at 1: 5000 scale, but their use in system creation is not appropriate because of the scale span. In this paper an indirect method of data acquisition on forested soils is presented. This method consists in digital processing and computer assisted interpretation of satellite imagery (SPOT-4) and interpretation of forest vegetation maps (forest sites maps). Existing soils maps at 1: 300 000 scale, geological maps and map of potential (primary) vegetation can be used as ancillary data. All mentioned above data beside satellite imagery are stored in analogue form and must be converted to digital (raster or vector) form. In this paper the preliminary results of the first stage of the method elaboration are presented: fusion of the data issued from forest vegetation map (at 1: 25 000 scale) and from SPOT image processing results. The processing of SPOT data has been focused on enhancing of stand of trees differentiation which can indicate the relationships between soils, microrelief and vegetation. The correlation between forest's vegetation seen on satellite image and forest sites indicated on forest maps added to geological data made possible to distinguish 5 units in soil database
