發(fā)布時(shí)間：2018-03-11 07:32

  本文選題：古爾班通古特沙漠　切入點(diǎn)：光譜特征　出處：《光譜學(xué)與光譜分析》2016年04期 　論文類型：期刊論文

【摘要】：植被對(duì)區(qū)域生態(tài)環(huán)境保護(hù)具有重要意義,尤其是在荒漠-綠洲交錯(cuò)地帶,植被對(duì)土壤保持、提高土地的抗剪切性能有重要意義,對(duì)土壤風(fēng)蝕和荒漠化防治的影響作用較大,利用高光譜技術(shù)測(cè)定并分析荒漠-綠洲交錯(cuò)帶典型植被的光譜特性,不僅能夠指導(dǎo)區(qū)域的植被遙感分類,還能夠?qū)χ脖粚?shí)行遠(yuǎn)程監(jiān)控提供依據(jù)。研究借助美國Field Spec 4高分辨率地物光譜儀,在研究區(qū)采集棉花、檉柳、梭梭和鹽穗木等四種典型植被不同條件下的光譜數(shù)據(jù),在對(duì)數(shù)據(jù)進(jìn)行歸類、篩選及綜合處理后,分別對(duì)原始數(shù)據(jù)進(jìn)行FDR(一階導(dǎo)數(shù)反射率)和RLR(倒數(shù)取對(duì)數(shù)反射率)變換。利用原始數(shù)據(jù)、FDR和RLR分別分析不同植物的光譜敏感波段和表達(dá)方式。結(jié)果表明:植物的光譜曲線具有類似的變化特征,植被種類不同在"紅邊"區(qū)和近紅外780~1 260nm波段的表達(dá)方式區(qū)別較大;植物對(duì)可見光的吸收非常強(qiáng)烈,對(duì)不同波長的光吸收強(qiáng)弱變化會(huì)形成波峰和波谷;植物紅邊特征具有特殊性,蘊(yùn)含植物自身的特有信息,三種方式的處理結(jié)果顯示,光譜特征在經(jīng)FDR計(jì)算后,植物光譜紅邊特征區(qū)差異性非常明顯;利用三種不同方式處理后的光譜數(shù)據(jù),分別來計(jì)算改進(jìn)的植物NDVI值,經(jīng)RLR變換后重新計(jì)算得到的NDVI值在植物不同種之間表現(xiàn)出較大差別,用于植物種類區(qū)分的效果明顯。
[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.
【作者單位】： 新疆環(huán)境保護(hù)科學(xué)研究院;準(zhǔn)噶爾生態(tài)環(huán)境觀測(cè)研究站;中國科學(xué)院地理科學(xué)與資源研究所資源與環(huán)境信息系統(tǒng)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金青年科學(xué)基金項(xiàng)目(41201097) 新疆環(huán)境保護(hù)科學(xué)院創(chuàng)新基金項(xiàng)目(2014-GC06,201402)資助
【分類號(hào)】：Q948;O657.3

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