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vegetation相关的网络例句

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与 vegetation 相关的网络例句 [注:此内容来源于网络,仅供参考]

Vast areas of Tokai Vegetation have been destroyed through opening land to cotton fields.

由于大量的开荒种植棉花,大面积的Tokai Vegetation都被破坏了。

The largest and best preserved stands of Euphrate Poplar forests and Tokai Vegetation are found in Xinjiang at the Tarim River.

在新疆的塔里木河流域却发现了最大的且是保存最好的胡杨林和Tokai Vegetation。

He Tokai Vegetation fulfils important ecological functions and local people depend on its traditional use for grazing and gathering medical plants.

okai Vegetation实现了重要的生态功能,这使得当地人能借助传统的方法去放牧和收获药用植物。

He plants of the Tokai Vegetation are well adapted to the harsh and dynamic environment of riverine ecosystems in arid areas like the Tarim River.

okai Vegetation的植物很好地适应了诸如塔里木河流域这样贫瘠的地区里的、荒芜却生机勃勃的河流生态环境。

Through human impact the Tokai Vegetation and Euphrate Poplar forests have decreased tremendously all over Central Asia.

由于人类的干扰,Tokai Vegetation和胡杨林在整个中亚都急剧减少。

Tokai Vegetation is the natural vegetation along rivers all over Central Asia.

Tokai Vegetation是中亚河流沿线的一种自然植被。

The most untouched Tokai Vegetation and Euphrate Poplar forests are located at the middle reaches of the Tarim River in the Huyanglin Nature Reserve.

多数的未开发的Tokai Vegetation和胡杨林都位于胡杨林自然保护区内的塔里木河中游。

Eight sets of SPOT satellite images, covering nine years from 1994 to 2002 and equivalent to eight months, were used to monitor seasonal changes in the normalized difference vegetation index over the Mt. Huangzui area in the Yangminshan National Park of northern Taiwan. The grey system theory was applied to analyze the degree of contribution of the five climate factors on NDVI of four major vegetation types Axonopus affinis, Miscanthus foridulus, Eurya crenatifolia and broad leaf vegetation.

本研究应用九个年度涵盖四季分布在八个月份之SPOT卫星遥测资料,监测阳明山国家公园磺嘴山植生指数(normalized difference vegetation index, NDVI)之季节性变化;并以灰关联理论分析五种气候因子(即累积降雨量、平均相对湿度、日照率、平均气温、与累积全天日射量)对类地毯草、五节芒、假柃木及阔叶林的卫星遥测植生指数之灰关联性。

Methods Marshland areas near high endemic villages of schistosomiasis in the Poyang Lake region were selected. Corresponding map was digitized and (Landsat 5 TM) the image was corrected according to the digital map. The image where water and land shifted during floody and dry seasons was extracted and classified by unsupervised method. The image in dry seasons was calculated by both Normalized Difference Vegetation Index and Tasseled Cap model. Traditional snail survey was done at the same areas and recorded the geographic position by Geographic Position System. Some cultured lands inside the embankment and water pound in marshland areas were selected as control group. Results The image of pilot areas was classified into 10 classes.

方法选择鄱阳湖区内3个洲岛型血吸病重度流行村周围的洲滩地图进行数字化,在数字化地图的基础上分别对两张Landsat 5TM卫星遥感片进行校正,并提取出冬陆夏水洲滩部分,运用ERDAS IMAGINE软件对此洲滩进行计算机非监督分类、校正植被指数(Normalized Difference Vegetation Index, NDVI)和穗帽湿度变换指数(Tasseled Cap, TC)模型计算;用传统方法进行螺情调查,卫星定位仪记录有钉螺点的经纬度,同时选择部分堤内的农田和水溏作为对照点。

The Normalized Difference Vegetation Index and the Tasseled Cap transformation method are generally used for low-resolution satellite images of vegetation explicit methods, and this study was to develop the suitable high-resolution satellite images of vegetation display technology based on the above-mentioned methods.

一般用於低解析度卫星影像植被增显的方法为常态化差异植生指标(NDVI, Normalized Difference Vegetation Index)与缨帽转换法(TCT, Tasseled-Cap Transformation),而本研究拟开发基於上述两种方法且适合高解析度卫星影像之植被增显技术。

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