|
|
|
|
|
|
| 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 |
1. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China |
|
|
|
|
Abstract 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 760~930 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.
|
|
Received: 2017-12-12
Accepted: 2018-04-16
|
|
|
|
Corresponding Authors:
SUN Wen-yi
E-mail: sunwy@ms.iswc.ac.cn
|
|
[1] Zhao Y, Qin N, Weber B, et al. Biodiversity & Conservation, 2014, 23(7): 1669.
[2] LI Xin-rong(李新荣). Eco-Hydrology of Biological Soil Crusts in Desert Regions of China(荒漠生物土壤结皮生态与水文学研究). Beijing: Higher Education Press(北京：高等教育出版社), 2012. 941.
[3] Xiao B, Wang H, Fan J, et al. Ecological Engineering, 2013, 58(58): 52.
[4] GAO Li-qian, ZHAO Yun-ge, QIN Ning-qiang(高丽倩, 赵允格, 秦宁强). Journal Applied Ecology(应用生态学报), 2013, 24(1): 105.
[5] Chamizo S, Stevens A, Cantón Y, et al. European Journal of Soil Science, 2012, 63(1): 42.
[6] Rodríguez-Caballero E, Cantón Y, Lazaro R, et al. Journal of Hydrology, 2014, 517(1): 815.
[7] YANG Guang，LI Qing-he(杨 光, 李庆和). Science of Soil and Water Conservation(中国水土保持科学)，2014, 12(1): 90. |
| [1] |
YANG Ke-ming, ZHANG Wei, WANG Xiao-feng, SUN Tong-tong, CHENG Long. Differentiation and Level Monitoring of Corn Leaf Stressed by Cu and Pb Derived from Spatial Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2200-2208. |
| [2] |
GAN Ting-ting1, 2, ZHAO Nan-jing1, 2*, HU Yu-xia1, 2，3, YU Hui-juan1, 2，3, DUAN Jing-bo1, 2, LIU Jian-guo1, 2, LIU Wen-qing1, 2. Spectral Features Analysis of Multi-Wavelength Transmission Spectra of Pathogenic Bacterial Microbes in Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1610-1619. |
| [3] |
LIANG Jing1, 2, HUANG Hao3, LIAN Yu-sheng4, NING Si-yu1, SUN Liang1. Study of the Multi-Spectral Characterization Model for Inkjet Printing System and Its Application[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1213-1218. |
| [4] |
HUANG Xiao-jun1, 2, 3，XIE Yao-wen2，BAO Yu-hai1, 3*. Spectral Detection of Damaged Level of Larch Affected by Jas’s Larch Inchworm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 905-911. |
| [5] |
GU Si-yu, LI Yue, CAI Yue-tong, GUO Xing-jun, ZHU Yu-wei, YU Xue-wei, YANG Yan, ZHANG Hui-hui*. The Study of Hydrothermal Conditions’s Impact on the Structure of Black Soil Fulvic Acid Based on the Fluorescence Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 488-493. |
| [6] |
SUN Gui-fen1, QIN Xian-lin1*, YIN Ling-yu1, LIU Shu-chao1, LI Zeng-yuan1, CHEN Xiao-zhong2, ZHONG Xiang-qing2. Changes Analysis of Post-Fire Vegetation Spectrum and Index Based on Time Series GF-1 WFV Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 511-517. |
| [7] |
HUANG Chang-ping1, ZHU Xin-ran1, 2, ZHANG Chen-lu3, QIAO Na1, 4, HU Shun-shi3, ZHANG Li-fu1*. Pork Freshness Spectral Feature Index: Development and Sensitivity Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 552-558. |
| [8] |
ZHOU Dan-yi1, 2, LU Tai-jin2*, KE Jie2, CHEN Hua2, SHI Guang-hai1, LI Ke1. Study on the Spectral Characteristics and the Alexandrite Effect of Diaspore[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3504-3509. |
| [9] |
DIAO Wan-ying, LIU Gang*, HU Ke-lin . Estimation of Soil Water Content Based on Hyperspectral Features and the ANN Model [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 841-846. |
| [10] |
ZHAO Heng-qian1, ZHAO Xue-sheng1*, CEN Yi2, YANG Hang2 . Research on the Impact of Absorption Feature Extraction on Spectral Difference Between Similar Minerals [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 869-874. |
| [11] |
DUAN Peng-cheng1, XIONG Hei-gang2*, LI Rong-rong1, ZHANG Lu1 . A Quantitative Analysis of the Reflectance of the Saline Soil under Different Disturbance Extent[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 571-576. |
| [12] |
YANG Chang-bao1, WU Meng-hong1, ZHANG Chen-xi1,2*, YU Yan1, XU Meng-long1, LIU Wan-song1, CHEN Sheng-bo1 . Relationship Exploration of Chemical Content, Complex Dielectric Constant and Spectral Features of Rocks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(10): 3103-3109. |
| [13] |
XIONG Qin-xue1, 2, WANG Xiao-ling1,2*, WANG You-ning2，3 . Spectral Characteristics Analysis of Wheat Damaged by Subsurface Waterlogging [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2558-2561. |
| [14] |
DIAO Hang1，WU Yong-ming2，YANG Yu-hong3，OUYANG Jin2，LI Jun-hui1，LAO Cai-lian1，XU Xing-yang2*. Study on the Determination of the Maturity Level of Tobacco Leaf Based on In-Situ Spectral Measurement[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1826-1830. |
| [15] |
ZHANG Bo1,2, NIU Ting1,2, FANG Shi-feng1,3*, WU De-yan1,2 . Research on the Spectral Characteristic of Typical Vegetation in Desert-Oasis Crisscross Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 1104-1108. |
|
|
|
|
