【摘要】 <正> 研究区位于河北省邢台地区中部,面积约2600平方公里。属暖温带半干旱半湿润大陆性季风气候区。整个试验区地貌单元可分为三种类型(图1)。更多还原

【Abstract】 The two purposes of this paper are: (1) to study the method of computer-aided interpretation using landsat CCTs data for soil classes recognition and (2) to study the relationship between the spectral soil map and the conventional soil map at a large scale.On the ARIES-Ⅱ image processing system, two scenes of different dates of Landsat images were geometrically corrected and spacially registered. Supervised classification for soil interpretation was made on this image which had seven bands in it. On the basis of analysis of the soil parent materials, landscapes and geomorphological types, the study area was stratified into three strata. Twenty five sample areas were selected by the stratified-random sampling method within the whole area.A correlation of the spectral classes from the supervised classification to the soils from the conventional soil map at a large scale (1:50,000) was achieved by manually overlapping the soil data and the spectral data of every sample areas in each of the strata. The results of the correlation were evaluated. It was found that several spectral classes are, with excellent consistency, highly related to some soils such as sandy soil, clayey meadow soil and drabed meadow soil. Saline meadow soil and clay-loamy meadow soil have good relationships to the spectral classes in spite of lacking a good consistency. Other soils were confused with spectral classes.For the soil mapping investigation of some highly related soils mentioned above, the use of the results of the spectral classification and associated correlation will conceivably aid in soil profile placements and boundary delineations, hence reducing the time and expense of the investigation.更多还原