vegetation classification

On Classification of the Vegetation in the Mian Mountain, Shanxi Province Using the Fuzzy Graph Theory

山西省绵山植被的模糊图论分类研究

The WVS ( Water, Vegetation and Soil) classification and its utilization in the land cover mapping at the regional scale are discussed.

WVS分类（Water，VegetationandSoilClassification）及地面覆被分类图的编制，为区域性生态环境研究提供了重要的基础资料。

In the background of the wave continental plateau physiognomy in the Bashang from Hebei northwest, the texture is the main factor to appraise the best and worst and classification of farmland, therefrom becomes the subject accordance to farmland classification and vegetation collocation.

在冀西北坝上波状高原地貌背景下，质地是评价土地优劣与农田定等分级的最主要因素，由此而成为农田分类和植物配置的主体依据。

We deem it suitable to apply fuzzy graph theory to the classification of vegetation.

这说明模糊图论的最大树方法用于植被的分类是合适的。

Using Landsat and CBERS images as two data sources, each pixel was dealt as a mixture of vegetation, high-and low-albedo and bare soil, impervious surface was extracted with linear spectral mixture model, landuse information was determined with supervised classification method.

采用Landsat、中巴资源卫星两种遥感影像数据，每个像元均可视为由高反照度地物、低反照度地物、植被和裸土组成，运用线性光谱混合模型提取不透水面信息。

Field Spectral Features and Constructive Species Classification of Vegetation in Modern Yellow River Delta Using Landsat TM

现代黄河三角洲植被主要建群种野外光谱特征及TM分类试验

Quantitative classification and ordination analysis on bryophyte vegetation in Bogda mountain, Xinjiang

新疆博格达山地面生苔藓植被的数量分类与排序研究

This paper depicted the physiographic landscape features and natural vegetation situation of study area ( the eastern Jilin Province), and expatiates the definition, basic characters and its development of Ecological Land Classification ( ELC).

本文描述了研究区吉林省东部山区的地文景观特点和自然植被状况，阐述了生态土地分类的定义、基本特点及发展。

The urban cultivated vegetation landscape classification can be used in various cities and referred by other related study.

该研究实例可为不同城市的人工植被景观的划分及相关研究提供参考。

This paper presents the remote sensing image land cover/ use classification method, based on rule-reasoning method using gray information, wavelet-based texture feature, vegetation index and shape information.

提出一种利用地类的色度信息、小波提取纹理特征、植被指数及形状知识等采用规则推理有效识别遥感土地类别的方法。