荒漠-绿洲交错地带典型植被光谱特征研究

发布时间：2018-03-11 07:32

本文选题：古尔班通古特沙漠　切入点：光谱特征　出处：《光谱学与光谱分析》2016年04期 　论文类型：期刊论文

【摘要】：植被对区域生态环境保护具有重要意义,尤其是在荒漠-绿洲交错地带,植被对土壤保持、提高土地的抗剪切性能有重要意义,对土壤风蚀和荒漠化防治的影响作用较大,利用高光谱技术测定并分析荒漠-绿洲交错带典型植被的光谱特性,不仅能够指导区域的植被遥感分类,还能够对植被实行远程监控提供依据。研究借助美国Field Spec 4高分辨率地物光谱仪,在研究区采集棉花、柽柳、梭梭和盐穗木等四种典型植被不同条件下的光谱数据,在对数据进行归类、筛选及综合处理后,分别对原始数据进行FDR(一阶导数反射率)和RLR(倒数取对数反射率)变换。利用原始数据、FDR和RLR分别分析不同植物的光谱敏感波段和表达方式。结果表明:植物的光谱曲线具有类似的变化特征,植被种类不同在"红边"区和近红外780~1 260nm波段的表达方式区别较大;植物对可见光的吸收非常强烈,对不同波长的光吸收强弱变化会形成波峰和波谷;植物红边特征具有特殊性,蕴含植物自身的特有信息,三种方式的处理结果显示,光谱特征在经FDR计算后,植物光谱红边特征区差异性非常明显;利用三种不同方式处理后的光谱数据,分别来计算改进的植物NDVI值,经RLR变换后重新计算得到的NDVI值在植物不同种之间表现出较大差别,用于植物种类区分的效果明显。
[Abstract]:Vegetation plays an important role in the protection of regional ecological environment, especially in the desert-oasis ecotone, where vegetation plays an important role in soil conservation and improvement of soil shear resistance, and has a great impact on soil wind erosion and desertification control. Using hyperspectral technique to determine and analyze the spectral characteristics of typical vegetation in the desert and oasis ecotone can not only guide the classification of vegetation in remote sensing. It can also provide the basis for remote monitoring of vegetation. The spectral data of cotton, Tamarix chinensis, Haloxylon ammodendron and Salt-panicle were collected in the study area with the help of Field Spec 4 high-resolution ground object spectrometer. After classifying, filtering and synthesizing the data, FDR (first derivative reflectance) and RLR (reciprocal logarithmic reflectance) were used to transform the original data respectively. The spectral sensitive bands and expression modes of different plants were analyzed by using the original data. The results show that:. The spectral curve has a similar variation. The different vegetation types are different in the "red edge" region and near infrared 780 ~ (-1 260) nm band, the absorption of visible light by plants is very strong, and the variation of light absorption intensity at different wavelengths will form wave peaks and troughs. The red edge feature of plant has its particularity and contains the unique information of plant itself. The results of three ways of processing show that the spectral feature is very different in the red edge region of plant spectrum after FDR calculation. The improved NDVI values of plants were calculated by using the spectral data processed in three different ways. The NDVI values obtained by RLR transform showed great differences among different species, and the effect of the NDVI values on the classification of plant species was obvious.
【作者单位】：新疆环境保护科学研究院;准噶尔生态环境观测研究站;中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;
【基金】：国家自然科学基金青年科学基金项目(41201097) 新疆环境保护科学院创新基金项目(2014-GC06,201402)资助
【分类号】：Q948;O657.3

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