论文选取2000、2006年时相相近的TM遥感影像作为山东黄河流域的基本数据源,采用监督分类法、专家分类法进行森林资源的分类和验证,运用层次分析和模糊数学法建立森林资源生态适宜性综合评价模型。结果表明,流域的森林资源分布极不均匀,济南、泰安、莱芜的森林覆盖率超过30%,其它地市只有15%。森林资源生态适宜性方面,泰安市优,济南市和莱芜市良,淄博市、滨州市、菏泽市、东营市和德州市中等,济宁市和聊城市较差。6 a间,泰安市的森林资源生态适宜性评价由良好到优秀,济南市和莱芜市的评价得分值虽然都较高,但是,济南市朝好的方向发展,相反,莱芜市的得分值不升反降。淄博市、滨州市、菏泽市、东营市和德州市的得分值虽然没有达到良好标准,但其变好的趋势非常明显,济宁市和聊城市相对较差。
In the paper, two periods (2000 and 2006) of TM remote sensing images with similar temporal phase were selected as the basic data sources, and supervised classification and expert classification were carried on the forest resources classification and the confirmation, finally, analytic hierarchy process and fuzzy mathematics analysis were used to study the ecological suitability of forest resources synthetic evaluation model in the Yellow River Basin of Shandong Province. The results indicated that the forest resources are distributed unevenly: The forest coverage of Jinan, Tai’an and Laiwu was over 30%, however, the forest coverage of other seven cities was only 15%. In the aspect of the forest resources ecological suitability, Tai’an was the best, Jinan and Laiwu were good, while Zibo, Binzhou, Heze, Dongying and Dezhou were just so-so, Jining and Liaocheng were the worst. During the six years period, Tai’an changed from good to excellent, Jinan and Laiwu got the high remarks, and however, Jinan tended to develop well while Laiwu tended to go to the contrary direction. Although Zibo, Binzhou, Heze, Dongying and Dezhou did not get the good standard, but their development trends seemed to be better. In addition, the ecological suitability of forest resources of Jining and Liaocheng was not good enough.
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