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科尔沁沙地几种固沙植物光谱-生物量模型构建与分析
引用本文:岳喜元,常学礼,刘良旭,黄海涛. 科尔沁沙地几种固沙植物光谱-生物量模型构建与分析[J]. 中国沙漠, 2014, 34(6): 1496-1502. DOI: 10.7522/j.issn.1000-694X.2013.00449
作者姓名:岳喜元  常学礼  刘良旭  黄海涛
作者单位:鲁东大学 地理与规划学院, 山东 烟台 264025
基金项目:国家自然科学基金项目(41271193);国家科技支撑计划项目(2011BAC07B02)资助
摘    要:在控制背景反射噪音、植被盖度和水分含量的条件下,利用ASD光谱仪对科尔沁沙地4种主要固沙植物杨树(Populus spp.)、黄柳(Salix gordejevii)、小叶锦鸡儿(Caragana microphylla)、樟子松(Pinus sylvestris)光谱反射特征和地面光谱生物量模型构建进行了研究.结果表明:科尔沁沙地4种主要固沙植物光谱反射曲线的趋势基本一致,但是在620~670 nm与841~876 nm波长范围内存在差别,其中在波长620~670 nm最易识别的植物为小叶锦鸡儿,其次是黄柳、杨树,在波长841~876 nm范围最易识别的植物为樟子松、杨树.不同植物的NDVI与盖度和生物量的关系密切,模型拟合精度较高.相对而言,NDVI-盖度模型优于NDVI-生物量模型.不同植物种构建的NDVI盖度模型计算结果相差较小,而NDVI生物量模型的计算结果相差较大.在区域植被生产力遥感监测中,植被样方选择要考虑优势植物种影响,数据采样要涵盖研究区主要植物种.

关 键 词:固沙植物  地面光谱模型  科尔沁沙地  
收稿时间:2013-10-23
修稿时间:2013-12-16

Spectrum-biomass Models for Several Sand-fixing Plant Species in the Horqin Sandy Land
Yue Xiyuan,Chang Xueli,Liu Liangxu,Huang Haitao. Spectrum-biomass Models for Several Sand-fixing Plant Species in the Horqin Sandy Land[J]. ournal of Desert Research, 2014, 34(6): 1496-1502. DOI: 10.7522/j.issn.1000-694X.2013.00449
Authors:Yue Xiyuan  Chang Xueli  Liu Liangxu  Huang Haitao
Affiliation:College of Geography and Planning, Ludong University, Yantai 264025, Shandong, China
Abstract:ASD spectrometer was used to the study on the spectral reflectance of four kinds of sand-fixing plants Populus spp., Salix gordejevii, Caragana microphylla and Pinus sylvestris in Horqin sandyland under the controlled background reflectance noise, vegetation coverage and plant water content, and its ground spectral biomass models were analyzed by using NDVI and plant coverage and above ground biomass, respectively. The results showed that the trend of spectral reflection curves of four kinds of sand-fixed plant species was basically similar, but there were differences in wavelength of 620-670 nm and 841-876 nm. C. microphylla was one of the easiest plants to be distinguished in wavelength of 620-670 nm, following S. gordejevii and Populus spp., P. sylvestris and Populus spp. were easy to be distinguished in the wavelength of 841-876 nm. The relationship between NDVI and vegetation coverage and biomass was very close for the four, and the fitting precision of the models were highest. Compared with them, the models of NDVI-vegetation coverage were better than the NDVI-biomass because the differences of calculated results by the NDVI-coverage models were very smaller than the calculated results by the models of NDVI-biomass of these. However, the influence of dominant plant species should be paid more attention and conformed them involved in the quadrats sampling during remote sensing monitoring in regional vegetation productivity.
Keywords:sand-fixing plants  ground spectral model  Horqin Sandy Land  
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