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Spectral Characteristics of Biological Soil Crusts under the Different Types in the Water-Wind Erosion Crisscross Region on the Loess Plateau
Tian Yuan-sheng1; Zhang Yue1; Sun Wen-yi1,2; Mu Xing-min1,2; Gao Peng1,2; Zhao Guang-ju1,2; Sun, WY (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.; Sun, WY (reprint author), Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China.
文章类型Article
2018
发表期刊SPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN1000-0593
通讯作者邮箱m17791384850@163.com ; sunwy@ms.iswc.ac.cn
卷号38期号:7页码:2215-2220
摘要The study on spectral characteristics of biological soil crust in the water-wind erosion crisscross region in the Loess Plateau has important scientific value for the identification of biological soil crust based on remote sensing technology at regional scale, also provides important technical support for estimating the effect of biological soil crust on regional soil erosion control. The spectra of higher vegetation as well as the biological soil crust of algae with different coverage and different types of mosses were measured and quantified by Surface Species Spectrometry. The results are as follows, the algal bio-soil crust has similar spectral characteristics with soil in the water-wind erosion crisscross region in the Loess Plateau, and there is no obvious "peak valley" characteristic in the spectral curve. The reflectivity was reduced by the increasing coverage of the biological soil crust. Compared with the bare area, the spectral reflectance normalized mean of algae biological soil crust deceased 8. 64%, 15. 80% and 23. 09% respectively in the coverage of 10% to 20%, 30% to 40% and 50% to 60% in the visible area. The absorption characteristic at 680 nm (Chlorophyll) became increasingly obvious and the absorption valley at 2 200 nm (secondary mineral) became smaller as the coverage of algae biological soil crust increased. The spectral curve of moss biological soil crust showed the reflection peak of the green band, the absorption valley of the red light band and the high reflection of the near infrared band, which is similar with the vegetation. In the range of 760 similar to 930 nm, the slope of moss biological soil crust was 2. 5 to 4. 5 timed higher than that of vegetation. The study can provide some theoretical basis and technical support for the identification of biological soil crust.
关键词Biological Soil Crusts Spectral Characteristics Loess Plateau
学科领域Spectroscopy
DOI10.3964/j.issn.1000-0593(2018)07-2215-06
收录类别SCI
出版地NO 76 COLLAGE SOUTH RD BEIJING, BEIJING 100081, PEOPLES R CHINA
语种英语
WOS记录号WOS:000439671600036
出版者OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
引用统计
文献类型期刊论文
条目标识符sbir.nwafu.edu.cn/handle/361005/8213
专题水保所科研产出--SCI_2018--SCI
通讯作者Sun, WY (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.; Sun, WY (reprint author), Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China.
作者单位1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Tian Yuan-sheng,Zhang Yue,Sun Wen-yi,et al. Spectral Characteristics of Biological Soil Crusts under the Different Types in the Water-Wind Erosion Crisscross Region on the Loess Plateau[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2018,38(7):2215-2220.
APA Tian Yuan-sheng.,Zhang Yue.,Sun Wen-yi.,Mu Xing-min.,Gao Peng.,...&Sun, WY .(2018).Spectral Characteristics of Biological Soil Crusts under the Different Types in the Water-Wind Erosion Crisscross Region on the Loess Plateau.SPECTROSCOPY AND SPECTRAL ANALYSIS,38(7),2215-2220.
MLA Tian Yuan-sheng,et al."Spectral Characteristics of Biological Soil Crusts under the Different Types in the Water-Wind Erosion Crisscross Region on the Loess Plateau".SPECTROSCOPY AND SPECTRAL ANALYSIS 38.7(2018):2215-2220.
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