AUTOMATIC RECOGNITION AND MAPPING OF SOIL TYPES USING LANDSAT IMAGE Ⅱ. SOIL MAPPING BASED ON THE AUTOMATICALLY RECOGNIZED CATEGORIES AND THE MAPS OBTAINED IN COMPARISON WITH THE CONVENTIONAL SOIL MAP
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    Abstract:

    The purpose of this paper is to answer the question how to transform the computer-classified maps into corresponding soil maps.The first step, i.e. the key step, is to establish the exact relationship between the machine-divided categories and the real soil categoreies. The tables for expressing their relationship were listed on the basis of the internal sequence, cluster denddrogram and the band-radiation curves of the machine-divided spectral categories and the geographical control system (cf. the author's article in ACTA PEDOLOGICA SINICA, Vol.21, No. 2).Then, on the computer printouts, the geographical control lines are drawn on basis of the geographical control system and according tv the boundaries of some spectral categorles in their internal sequence. Among the control lines, the most important are the boundaries of the various geographical control regions. The third step is to delineate the soil boundaries according to the geographical controt lines and the tabular relationship between spectral and soil categories. The final step is to adjust the crosswise and lengthwise scales of the delineated computer printouts and to transfer them to the formal soil maps with Zoom Transfer Scope. It is found that the soil map of unsupervised classification is quite consistent with that of supervised classification, and the latter is better, A comparison has been made between two computer venerated soil maps and the conventional soil map. It is shown that they are very similar, and the machine-made maps are more detailed and accurate.

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Zeng Zhiyuan. AUTOMATIC RECOGNITION AND MAPPING OF SOIL TYPES USING LANDSAT IMAGE Ⅱ. SOIL MAPPING BASED ON THE AUTOMATICALLY RECOGNIZED CATEGORIES AND THE MAPS OBTAINED IN COMPARISON WITH THE CONVENTIONAL SOIL MAP[J]. Acta Pedologica Sinica,1985,22(3):265-274.

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  • Online: February 25,2013
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