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Spatial-temporal pattern analysis of the vegetation coverage and geological hazards in Yanchi County based on dimidiate pixel model |
Xiaodong ZHANG1,2(), Xiangnan LIU1(), Zhipeng ZHAO2, Yinxin ZHAO2, Yuxue MA2, Haiyan LIU2 |
1. School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China 2. Ningxia Geological Survey Institute, Yinchuan 750021, China |
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Abstract Based on dimidiate pixel model and using Landsat TM/OLI remote sensing images of 4 periods in 25 years (1989—2014) and geological hazards investigation data, the authors analyzed the characteristics of vegetation spatial-temporal pattern in Yanchi County by GIS and discussed the relationship between vegetation coverage and geological hazards. The results showed that the vegetation coverage of study area took on the features of relatively high vegetation coverage in the east and relatively low vegetation coverage in the west. The average vegetation coverage was on the low side generally and presented the characteristics of increase-decrease-increase; correspondingly the vegetation appeared the repetitive process of restoration-degeneration-restoration but had a tendency of recovery as a whole, with restoration distributed in the southeast and northwest and degeneration in the mid-west. Geological hazards point density was high in the south and low in the north, which suggests that the hazards points were concentrated in the south and dispersed in the north. A negative correlation between vegetation coverage and density of geological hazards points was discovered, which suggests the regularity of density of geological hazards points descending with the increasing of vegetation coverage: the higher the vegetation, the lower the density of geological hazards points.
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Keywords
vegetation coverage
dimidiate pixel
spatial-temporal pattern
geological hazards
Yanchi County
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Corresponding Authors:
Xiangnan LIU
E-mail: 33131692@qq.com;liuxn@cugb.edu.cn
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Issue Date: 30 May 2018
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[1] |
Nandi A, Shakoor A . A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses[J]. Engineering Geology, 2010,110(1/2):11-20.
doi: 10.1016/j.enggeo.2009.10.001
url: http://linkinghub.elsevier.com/retrieve/pii/S0013795209002646
|
[2] |
贾贵义, 全永庆, 黎志恒 , 等. 基于组合赋权法的白龙江流域甘肃段地质灾害危险性评价[J]. 冰川冻土, 2014,36(5):1227-1236.
doi: 10.7522/j.issn.1000-0240.2014.0147
|
[2] |
Jia G Y, Quan Y Q, Li Z H , et al. Geo-hazards assessment for the Gansu segment in Bailongjiang River Basin by using combination weighting method[J]. Journal of Glaciology and Geocryology, 2014,36(5):1227-1236.
|
[3] |
杜军, 杨青华, 严嘉 , 等. 基于GIS与信息量模型的汶川次生地质灾害危险性评价[J]. 地球科学, 2010,35(2):324-330.
doi: 10.3799/dqkx.2010.034
url: http://d.wanfangdata.com.cn/Periodical/dqkx201002018
|
[3] |
Du J, Yang Q H, Yan J , et al. Hazard evaluation of secondary geological disaster based on GIS and information value method[J]. Earth Science, 2010,35(2):324-330.
|
[4] |
许冲, 戴福初, 姚鑫 , 等. 基于GIS与确定性系数分析方法的汶川地震滑坡易发性评价[J]. 工程地质学报, 2010,18(1):15-26.
doi: 10.3969/j.issn.1004-9665.2010.01.003
url: http://www.cqvip.com/Main/Detail.aspx?id=36082688
|
[4] |
Xu C, Dai F C, Yao X , et al. GIS platform and certainty factor analysis method based Wenchuan earthquake-induced landslide susceptibility evaluation[J]. Journal of Engineering Geology, 2010,18(1):15-26.
|
[5] |
倪忠云, 何政伟, 赵银兵 , 等. 基于RS和GIS的丹巴县植被盖度与地质灾害关系研究[J]. 物探化探计算技术, 2011,33(2):217-221.
doi: 10.3969/j.issn.1001-1749.2011.02.019
url: http://d.wanfangdata.com.cn/Periodical/wthtjsjs201102019
|
[5] |
Ni Z Y, He Z W, Zhao Y B , et al. Study on the relationship between vegetation cover and geo-hazards in Danba County based on RS and GIS[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2011,33(2):217-221.
|
[6] |
曾令科, 许模, 方琼 , 等. 植被与地质灾害发育分布关系初探[J]. 地质灾害与环境保护, 2010,21(3):97-100.
|
[6] |
Zeng L K, Xu M, Fang Q , et al. Vegetation and development of geological hazards[J]. Journal of Geological Hazards and Environment Preservation, 2010,21(3):97-100.
|
[7] |
张晓东, 刘湘南, 赵志鹏 , 等. 遥感技术在宁夏中宁县地质灾害详细调查中的应用[J]. 中国地质灾害与防治学报, 2015,26(3):120-126.
doi: 10.16031/j.cnki.issn.1003-8035.2015.03.22
url: http://d.wanfangdata.com.cn/Periodical/zgdzzhyfzxb201503022
|
[7] |
Zhang X D, Liu X N, Zhao Z P , et al. The application of RS technique for investigation of geological hazards in Zhongning County of Ningxia[J]. The Chinese Journal of Geological Hazard and Control, 2015,26(3):120-126.
|
[8] |
张国平, 徐晶, 毕宝贵 . 滑坡和泥石流灾害与环境因子的关系[J]. 应用生态学报, 2009,20(3):653-658.
doi:
url: http://d.wanfangdata.com.cn/Periodical_yystxb200903027.aspx
|
[8] |
Zhang G P, Xu J, Bi B G . Relations of landslide and debris flow hazards to environmental factors[J]. Chinese Journal of Applied Ecology, 2009,20(3):653-658.
|
[9] |
李凯, 孙悦迪, 江宝骅 , 等. 基于像元二分法的白龙江流域植被覆盖度与滑坡时空格局分析[J]. 兰州大学学报(自然科学版), 2014,50(3):376-382.
doi: 10.13885/j.issn.0455-2059.2014.03.013
url: http://d.wanfangdata.com.cn/Periodical/lzdxxb201403013
|
[9] |
Li K, Sun Y D, Jiang B H , et al. Analysis on spatial-temporal patterns of the vegetation coverage and landslides in Bailongjiang River Basin based on the dimidiate pixel model[J]. Journal of Lanzhou University(Natural Sciences), 2014,50(3):376-382.
|
[10] |
Leprieur C, Verstraete M M, Pinty B . Evaluation of the performance of various vegetation indices to retrieve vegetation cover from AVHRR data[J]. Remote Sensing Reviews, 1994,10(4):265-284.
doi: 10.1080/02757259409532250
url: http://www.tandfonline.com/doi/abs/10.1080/02757259409532250
|
[11] |
Gutman G, Ignatov A . The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J]. International Journal of Remote Sensing, 1998,19(8):1533-1543.
doi: 10.1080/014311698215333
url: http://www.tandfonline.com/doi/abs/10.1080/014311698215333
|
[12] |
Mu S J, Yang H F, Li J L , et al. Spatio-temporal dynamics of vegetation coverage and its relationship with climate factors in Inner Mongolia,China[J]. Journal of Geographical Sciences, 2013,23(2):231-246.
doi: 10.1007/s11442-013-1006-x
url: http://link.springer.com/10.1007/s11442-013-1006-x
|
[13] |
Gillies R R, Kustas W P, Humes K S . A verification of the “triangle” method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index(NDVI) and surface[J]. International Journal of Remote Sensing, 1997,18(15):3145-3166.
doi: 10.1080/014311697217026
url: http://www.tandfonline.com/doi/abs/10.1080/014311697217026
|
[14] |
贾宝全 . 基于TM卫星影像数据的北京市植被变化及其原因分析[J]. 生态学报, 2013,33(5):1654-1666.
doi: 10.5846/stxb201208251199
url: 年度引用
|
[14] |
Jia B Q . Driving factor analysis on the vegetation changes derived from the Landsat TM images in Beijing[J]. Acta Ecologica Sinica, 2013,33(5):1654-1666.
|
[15] |
庞吉林, 张克斌, 乔娜 , 等. 基于RS的盐池县近10年植被覆盖度动态变化研究[J]. 水土保持研究, 2012,19(4):112-115,121.
url: http://d.wanfangdata.com.cn/Periodical/stbcyj201204023
|
[15] |
Pang J L, Zhang K B, Qiao N , et al. RS-based study on dynamics of the vegetation coverage in recent 10 years in Yanchi County[J]. Research of Soil and Water Conservation, 2012,19(4):112-115,121.
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