基于像元二分法的盐池县植被覆盖度与地质灾害点时空格局分析

doi:10.6046/gtzyyg.2018.02.26

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摘要

宁夏回族自治区盐池县地处农牧交错区,生态环境脆弱,地质灾害较为发育。基于像元二分模型,利用1989—2014年间4期Landsat TM/OLI遥感影像,分析了25 a间盐池县植被覆盖度空间格局及其变化特征,结合地质灾害详细调查数据,进一步探讨了植被覆盖度与地质灾害点的关系。结果表明,25 a间研究区植被覆盖度整体偏低,且具有东部相对较高、西部较低的特点,植被表现为恢复—退化—恢复的反复过程,总体处于恢复趋势中。植被覆盖度与地质灾害点密度呈现明显负相关,灾害点密度随着植被覆盖度的增加而降低,植被覆盖度越高,灾害点密度越低。

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	张晓东
	刘湘南
	赵志鹏
	赵银鑫
	马玉学
	刘海燕

关键词 ：植被覆盖度, 像元二分法, 时空格局, 地质灾害, 盐池县

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.

Key words： vegetation coverage dimidiate pixel spatial-temporal pattern geological hazards Yanchi County

收稿日期: 2016-10-31 出版日期: 2018-05-30

TP79

基金资助:宁夏回族自治区国土资源厅项目“宁夏盐池县地质灾害详细调查项目”(编号: XC(2012)-05);水环创新团队后补助资金研究项目(编号: 2017—水环团队04)

通讯作者: 刘湘南

引用本文:

张晓东, 刘湘南, 赵志鹏, 赵银鑫, 马玉学, 刘海燕. 基于像元二分法的盐池县植被覆盖度与地质灾害点时空格局分析[J]. 国土资源遥感, 2018, 30(2): 195-201.
Xiaodong ZHANG, Xiangnan LIU, Zhipeng ZHAO, Yinxin ZHAO, Yuxue MA, Haiyan LIU. Spatial-temporal pattern analysis of the vegetation coverage and geological hazards in Yanchi County based on dimidiate pixel model. Remote Sensing for Land & Resources, 2018, 30(2): 195-201.

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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2018.02.26 或 https://www.gtzyyg.com/CN/Y2018/V30/I2/195

Tab.1 研究区不同时期遥感影像NDVI_veg和NDVI_soil

Tab.2 1989—2014年盐池县植被覆盖面积及其变化率

Fig.1 盐池县不同时期植被覆盖度变化

Fig.2 1989—2014年盐池县降水和气温变化(盐池站)

Fig.3 盐池县地质灾害点密度

Fig.4 盐池县植被覆盖度与地质灾害点叠加统计

Tab.3 盐池县1989—2014年覆盖度变化和1989年覆盖度叠加面积与地质灾害点密度统计

[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
[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
	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
	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
	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
	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.
	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
	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:
	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
	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
[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
[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
[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
[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
	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.
	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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