| 卫星景象目视解释方法在湖区植被制图中的应用——以湖南洞庭湖区水域、洲滩植被图为例 |
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| 引用本文： | 文明,王敏华.卫星景象目视解释方法在湖区植被制图中的应用——以湖南洞庭湖区水域、洲滩植被图为例[J].植物生态学报,1986,10(3):199-207. |
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| 作者姓名： | 文明 王敏华 |
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| 摘 要： | 植被(包括天然植被、人工植被)作为一种可更新资源始终是遥感应用专家们热心研究的课题。植被分类是植被研究的重要方面之一。利用卫星影象进行植被分类，国内外学者都进行了许多有意义的探索。本文以洞庭湖水域、洲滩植被为对象，试用卫星影象进行植被分类。本文从植被与环境相互依赖关系及在影象上的综合反映出发，提出了影象的景观生态学分析方法；即把影象上色调、形态特征与群落生态学规律结合起来分析，并以此作为植被目视解译的方法论。在此基础上，将洞庭湖水域，洲滩划分成五个景观生态模型，17个基本植被类型。
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| 关 键 词： | 卫星影象 目视解译方法 景观生态学分析 |
A Method of Satellite Image Visual Interpretation is Used in Vegetation Mapping for Lake Regions |
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| Weng Min,Wang Min-hua.A Method of Satellite Image Visual Interpretation is Used in Vegetation Mapping for Lake Regions[J].Acta Phytoecologica Sinica,1986,10(3):199-207. |
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| Authors: | Weng Min Wang Min-hua |
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| Abstract: | As a kind of renewable resource, vegetation, including both natural and cultural ones, has long been a subject studied earnestly by remote sensing application specialists. Vegetation classification is one of the significant aspects of vegetation research. The use of satellite image to classify vegetation has been studied by important scholars both at home and abroad. This paper chooses the vegetation of the waters and the sand bars in the Dongting Lake as the subject matter for study, and tries to study the method of vegetation classification with remote sensing data. Based on the mutual dependent relationship between vegetation and environment and their comprehensive reflections in remote sensing images, the paper advances an analystic method of landscape-ecology analysis Jay these images, i. e. to combine the tone and shape structure features in the image with the ecological rules of the community to analyse, and consider this as the basis of the methodology for vegetation visual interpretation. On this basis, the waters and sand bars in the Dongting Lake are divided into 5 landscape-ecological models, and the vegetation of lake regions is divided into 17 basic vegetation types. |
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| Keywords: | Satellite image Visul interpretation method Landscape-ecology analysis Vegetation of lake regions |
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