积雪-荒漠植被及其组合反射光谱特征观测实验及分析

doi:10.3964/j.issn.1000-0593(2019)02-0506-11

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Abstract The study on spectral mixing mechanism has a certain instructive significance to unmixing. With a full-wavelength spectrometer, the research made a controlled acquisition of the spectral reflectivity of pure snow pixels, pure desert-vegetation pixels and snow-desert vegetation mixed pixels in the mode of rule and irregular distribution during the accumulation period and ablation period. The ratio of snow area to desert vegetation area of images was calculated by K-means clustering algorithm and spectral variation characteristics of mixed pixels were analyzed; to obtain more precise spectral characteristic information, the absorption characteristic parameters to the response bands were calculated; the images were collected by quasi-synchronous Tetracam ADC3 and the typical indices were calculated. It’s verified at the micro-scale that the mixed pixels are mainly located at the boundary between one category to another. The results are seen as follows: the spectral reflectivity of coarse-grained frozen snow is obviously higher than that of new snow which is obviously higher than that of aged snow in the ranges of 1 456～1 697 nm. Because of the ice cover, the collected desert vegetation spectra is actually a mixture of spectral information of snow, ice crystals and vegetation branches; the spectral properties of vegetation covered with new snow are actually the mixed spectral information of snow and vegetation branches; there is no “red edge” effect like conventional green vegetation. When the acquisition angles are 5° and 10°, the spectral reflectivity is lower than that at a vertical angle. When the acquisition angle is bigger than 10°, the spectral reflectivity increases if the angle becomes bigger.

Key words：Spectral mixing mechanism; Snow-desert vegetation; Controlled acquisition; K-means; Absorption characteristic; Micro-scale

Received: 2017-02-22 Accepted: 2017-09-30

ZTFLH:

TP751.2

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2019)02-0506-11 OR https://www.gpxygpfx.com/EN/Y2019/V39/I02/506

[1] PAN Ming-zhong, QI Hong-xing, XIAO Gong-hai, et al（潘明忠, 亓洪兴, 肖功海, 等）. Journal of Infrared and Millimeter Waves（红外与毫米波学报）, 2010, 29(5): 354.
[2] ZHU Ming, JIN Wei-dong, PU Yun-wei, et al（朱明, 金炜东, 普运伟, 等）. Journal of Infrared and Millimeter Waves（红外与毫米波学报）, 2007, 26(4): 302.
[3] Pan M Z, Yuan H X, Xiao G M, et al. Journal of Infrared and Millimeter Waves, 2010，(5): 357.
[4] Adams J B, Mithmo, Illesplear. Remote Geochemical Analysis: Elemental and Mineralogical Composition. New York: Cambridge University Press, 1993. 145.
[5] Roberts D A, Smith M O, Adams J B. Remote Sensing of Environment, 1993, 44: 255.
[6] Boardman J W. Automated Spectral Unmixing of AVIRIS Data Using Convex Geometry Concepts: in Summaries//In: Proceedings of Fourth Jet Propulsion Laboratory Airborne Geosience Workshop. Pasadena, CA, USA, 1993，(1): 11.
[7] Craig M D. IEEE Transaction on Geoscience and Remote Sensing, 1994, 32(3): 542.
[8] Chabrillat S, Pinet P C, Ceuleneer G, et al. International Journal of Remote Sensing, 2000, 21: 2363.
[9] Small C. International Journal of Remote Sensing, 2001, 22(7): 1305.
[10] WAN Jun，CAI Yun-long(万军, 蔡运龙). Geographical Research(地理研究), 2003, 22(4): 440.
[11] ZHANG Fei, TAxipulati Teyibai, DING Jian-li, et al（张飞, 塔西甫拉提·特依拜, 丁建丽, 等）. Journal of Infrared and Millimeter Waves（红外与毫米波学报）, 2010, 29(3): 190.
[12] Mielke C, Boesche N K, Rogass C, et al. Remote Sensing, 2015, 6(2): 97.
[13] XIE Bo-cheng, XUE Xu-zhang, LIU Wei-dong, et al(谢伯承, 薛绪掌, 刘伟东, 等). Acta Pedologica Sinica(土壤学报), 2005, 42(1): 171.
[14] SI Yong-sheng，LIU Gang，GAO Rui（司永胜, 刘刚, 高瑞）. Transactions of The Chinese Society of Agricultural Machinery（农业机械学报）, 2009，(S1): 100.
[15] ZHOU Yong-mei, JIA Sheng-hai, LIU Ping(周咏梅, 贾生海, 刘萍). Journal of the Meteorological Sciences(气象科学), 2001, 21(1): 117.
[16] Stefan Wunderle, Timm Gross, Fabia Hüsler. Remote Sens，2016, 8(6): 448.
[17] ZHANG Yong-hong, REN Wei, CAO Ting, et al(张永宏, 任伟, 曹庭，等）. Remote Sensing Technology and Application(遥感技术与应用) , 2015, 30(6): 1076.
[18] ZHANG Xu, YANG Zhi-hua, YANG Chang-jun，et al（张旭, 杨志华, 杨昌军, 等）. Desert and Oasis Meteorology（沙漠与绿洲气象）, 2016, 10(3): 83.
[19] ZHENG Pu, DENG Zheng-dong, GUAN Hong-jun, et al(郑璞, 邓正栋, 关洪军, 等). Journal of the Meteorological Sciences(气象科学), 2014, 34(1): 39.
[20] YIN Hui, WANG Si-yuan, SUN Yun-xiao, et al(殷慧, 王思远, 孙云晓, 等). Bulletin of Surveying and Mapping(测绘通报), 2014, 5: 32.