土壤遥感自动分类与制图的初步试验

自从美国通过所发射的第一、二、三颗资源卫星获得了大量的航天遥感资料以来,很多国家都在利用这些资料进行土壤自动分类与制图的试验,企图用以提高土壤调查制图工作的质量与速度。但从所发表的资料看来,均没有说明所得最后结果是否能满足所需精度的要求^1,2,5]。

PRELIMINARY EXPERIMENT OF THE AUTOMATICAL CLASSIFICATION AND MAPPING OF SOILS BY REMOTE SENSING METHOD

This paper deals with the preliminary experiment of the automatical classification and mapping of soils by means of remote sensing method which was part of the research work of the author in Mexico. Experimental results showed that the automatical classifieation method not only raised the working efficiency by nearly twofolds, but also increased the cartographical precision up to the level required by a soil map on the scale of 1:250,000. But different soil types vary in mapping pattern error. According to the errors occurred from minimum to maximum, the soils are arranged as follows: (a) pellic vertisol. deep phase, (b) orthic phaeozem, deep phase and cnomire luvisol, deeply lithic phase, (c) pellic vertisol, deeply lithic phase and lithic phase, (d) orthic phaeozem, deeply lithic and lithic phase;natric vertisol, deep phase;natric phaeozem, deep phase. Of course, some mapping patterns of the soils with great errors are below the level of cartographical precision required.