DECISION-TREE AND RULE-INDUCTION APPROACH TO INTEGRATION OF REMOTELY SENSED AND GIS DATA IN MAPPING VEGETATION IN DISTURBED OR HILLY ENVIRONMENTS

被引：114

作者：

LEES, BG

RITMAN, K

机构：

[1] Department of Geography School of Resource and Environmental Management Faculty of Science, Australian National University, Canberra, 2601, ACT

来源：

ENVIRONMENTAL MANAGEMENT | 1991年 / 15卷 / 06期

关键词：

VEGETATION MAPPING; GEOGRAPHIC INFORMATION SYSTEMS; DECISION-TREE CLASSIFIERS; ARTIFICIAL INTELLIGENCE;

D O I：

10.1007/BF02394820

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The integration of Landsat TM and environmental GIS data sets using artificial intelligence rule-induction and decision-tree analysis is shown to facilitate the production of vegetation maps with both floristic and structural information. This technique is particularly suited to vegetation mapping in disturbed or hilly environments that are unsuited to either conventional remote sensing methods or GIS modeling using environmental data bases.

引用

页码：823 / 831

页数：9

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