高速公路对路域植被影响的时空格局变化遥感监测分析

doi:10.3724/SP.J.1047.2016.01537

地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (11): 1537-1543.doi: 10.3724/SP.J.1047.2016.01537

高速公路对路域植被影响的时空格局变化遥感监测分析

郭云开¹(), 苟叶培^2,*^*()

1. 长沙理工大学,长沙 410076
2. 成都市国土规划地籍事务中心,成都 610072

收稿日期:2015-10-19 修回日期:2015-12-25 出版日期:2016-11-20 发布日期:2016-11-20
通讯作者: 苟叶培 E-mail:guoyunkai226@163.com;362760390@qq.com
作者简介:
作者简介：郭云开（1958-）,男,湖南桃源人,博士,主要从事遥感技术理论及其应用的教学与科研工作。E-mail: guoyunkai226@163.com
基金资助:
国家自然科学基金项目（41471421、41171397）

Analysis of Expressway′s Impact on Vegetation in Its Spatial and Temporal Variation Based on Remote Sensing Monitoring

GUO Yunkai¹(), GOU Yepei^2,^*()

1. Changsha University of Science & Technology, Changsha 410076, China;
2. Chengdu City Land Planning Cadastral Affairs Center, Chengdu 610072, China

Received:2015-10-19 Revised:2015-12-25 Online:2016-11-20 Published:2016-11-20
Contact: GOU Yepei E-mail:guoyunkai226@163.com;362760390@qq.com

摘要/Abstract

摘要：

植被覆盖动态监测及与生态环境变化的响应是陆地生态系统研究的重要内容。本文以不同时相的TM遥感影像为信息源,基于辐射传输模型PROSAIL,定量反演了不同时期高速公路两侧植被的叶面积指数,以反演的叶面积指数作为路域植被生长状况的监测指标,对实验区路域植被的生长状况进行了时空格局变化的动态遥感监测研究。研究表明：① 在时间上,路域植被的生长状况在高速公路开通后5年内受到的影响相对最大;② 在空间上,离高速公路越近的植被的生长状况受到的影响较大,离高速公路越远的植被的生长状况受到的影响较小。本研究为监测路域植被生长状况提供了重要的方法,为指导路域植被的生态恢复与保护提供了可靠的基础。

关键词: 叶面积指数(LAI), PROSAIL模型, 路域植被, 定量遥感

Abstract:

Vegetation dynamics and their coupled relations with ecology are current research hot spots in exploring how the terrestrial ecosystems respond to the climate systems. We have obtained the vegetation leaf area index on both sides for the expressway in the research area, based on the simulations which use the PROSAIL and TM images as the information source. We studied the dynamic changes of road vegetation growth status with LAI from aspects of time and space. The results are shown as follows. (1) The temporal change of vegetation growth pattern in the expressway region shows that: the temporal growth condition of the roadside vegetation is influenced heavily in the first 5-year period after a new expressway has opened. (2) The spatial change of vegetation growth pattern in the expressway region shows that: the spatial growth condition of the roadside vegetation is heavily impacted within the regions that are closer to the expressway, while the vegetation located far from the expressway is mildly affected. Generally, this research provides reliable basic data for guiding the vegetation restoration and protection.

Key words: Leaf Area Index (LAI), PROSAIL model, road vegetation, remote sensing

郭云开, 苟叶培. 高速公路对路域植被影响的时空格局变化遥感监测分析[J]. 地球信息科学学报, 2016, 18(11): 1537-1543.DOI:10.3724/SP.J.1047.2016.01537

GUO Yunkai,GOU Yepei. Analysis of Expressway′s Impact on Vegetation in Its Spatial and Temporal Variation Based on Remote Sensing Monitoring[J]. Journal of Geo-information Science, 2016, 18(11): 1537-1543.DOI:10.3724/SP.J.1047.2016.01537

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参考文献 19

[1]	Zhou Q, Robson M, Pilesjo P.On the ground estimation of vegetation cover in Australian range-lands[J]. International Journal of Remote Sensing, 1998,19(9):1815-1820. doi: 10.1080/014311698215261
[2]	孟丹,李小娟,宫辉力,等.京津冀地区NDVI变化及气候因子驱动分析[J].地球信息科学学报. 2015,17(8):1001-1007. doi: 10.3724/SP.J.1047.2015.01001
	[ Meng D, Li X J, Gong H L, et al. Analysis of spatial-temporal change of NDVI and its climatic driving factors in Beijing-Tianjin-Hebei metropolis circle from 2001 to 2013[J]. Journal of Geo-information Science, .2015,17(8):1001-1007. ] doi: 10.3724/SP.J.1047.2015.01001
[3]	姚延娟,陈良富,柳钦火,等.基于波谱知识库的MODIS叶面积指数反演及验证[J],遥感学报,2006,10(6):869-878. doi: 10.3321/j.issn:1007-4619.2006.06.007
	[ Yao Y J, Chen L F, Liu Q H, et al. Inversion and validation of leaf area index based on the spectral & knowledge database using MODIS data[J]. Journal of Remote Sensing, 2006,10(6):869-878. ] doi: 10.3321/j.issn:1007-4619.2006.06.007
[4]	吴彤,倪绍祥,李云梅.基于植被信息遥感反演的东亚飞蝗监测研究[J].地理与地理信息科学,2006,22(2):25-29. doi: 10.3969/j.issn.1672-0504.2006.02.007
	[ Wu T, Ni S X, Li Y M.Research on the monitoring oriental migratory locust based on remote sensing retrieval of vegetation information[J]. Geography and Geo-Information Science, 2006,22(2):25-29. ] doi: 10.3969/j.issn.1672-0504.2006.02.007
[5]	王希群,马屡一,贾忠奎,等.叶面积指数的研究和应用进展[J].生态学杂志,2005,24(5):537-541.
	[ Wang X Q, Ma L Y, Jia Z K, et al. Research and application advances in leaf area index (LAI)[J]. Chinese Journal of Ecology, 2005,24(5):537-541. ]
[6]	张晓阳,李劲峰.利用垂直植被指数推算作物叶面积系数的理论模式[J].遥感技术与应用, 1995,10(3):13-18.
	[ Zhang X Y, Li J F.The derivation of a reflectance model for the estimation of leaf area index using perpendicular vegetation[J]. Remote Sensing Technology and Application, 1995,10(3):13-18. ]
[7]	黄文江,王纪华,刘良云,等.冬小麦红边参数变化规律及其营养诊断[J].遥感技术与应用, 2003,8(4):206-211. doi: 10.3969/j.issn.1004-0323.2003.04.004
	[ Huang W J, Wang J H, Liu L Y, et al. The red edge parameters diversification disciplinarian and its application for nutrition diagnosis[J]. Remote Sensing Technology and Application, 2003,8(4):206-211. ] doi: 10.3969/j.issn.1004-0323.2003.04.004
[8]	杨曦光,范文义,于颖.基于PROSPECT+SAIL模型的森林冠层叶绿素含量反演[J].光谱学与光谱分析,2010,30(11):3022-3026. doi: 10.3964/j.issn.1000-0593(2010)11-3022-05
	[ Yang X G, Fan W Y, Yu Y.Estimation of forest canopy chlorophyll content based on PROSPECT and SAIL models[J]. Spectroscopy and Spectral Analysis, 2010,30(11):3022-3026. ] doi: 10.3964/j.issn.1000-0593(2010)11-3022-05
[9]	颜春燕. 遥感提取植被生化组分信息方法与模型研究[D].北京:中国科学院研究生院,2003.
	[ Yan C Y.Study on methods and models for vegetation biochemical information retrieval by remote sensing[D]. Beijing: Institute of Remote Sensing Applications, Chinese Academy of Sciences, 2003. ]
[10]	Hui F M, Tian Q J, Jin Z Y, Li H T.Research and quantitative analysis of the correlation between vegetation index and leaf area index[J]. Remote Sensing Information, 2003,2:10-13.
[11]	骆社周,程峰,王方建,等.基于TM遥感数据的西藏林芝地区叶面积指数反演[J].遥感技术与应用,2012,2(5):740-745.
	[ Luo S Z, Chen F, Wang F J, et al. Leaf area index inversion based on TM in Linzhi, Tibet[J]. Remote Sensing Technology and Application, 2012,2(5):740-745. ]
[12]	Wu J J, Gao Z H, Li Z Y, et al. Estimation for parse vegetation information in desertification region based on Tiangong-1 hyperspectral image[J]. Spectroscopy and Spectral Analysis, 2014,34(3):751-756. doi: 10.3964/j.issn.1000-0593(2014)03-0751-06 pmid: 25208406
[13]	Jégo G, Elizabeth Pattey E, Liu J G.Using leaf area index, retrieved from optical imagery, in the STICS crop model for predicting yield and biomass of field crops[J]. Field Crops Research, 2012,131:63-74. doi: 10.1016/j.fcr.2012.02.012
[14]	Croft H, Chen J M, Zhang Y Q, et al. Modelling leaf chlorophyll content in broadleaf and needle leaf canopies from ground, CASI, Landsat TM 5 and MERIS reflectance data[J]. Remote Sensing of Environment, 2013,133:128-140. doi: 10.1016/j.rse.2013.02.006
[16]	Zhang Y Q, Chen J M, Miller J R, et al. Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery[J]. Remote Sensing of Environment, 2008,112(7):3234. doi: 10.1016/j.rse.2008.04.005
[17]	蔡博峰,绍霞.基于PROSPECT+SAIL模型的遥感叶面积指数反演[J].国土资源遥感,2007,72(2):39-43. doi: 10.3969/j.issn.1001-070X.2007.02.010
	[ Cai B F, Shao X.Leaf area index retrieval based on remotely sensed data and PROSPECT+SAIL model[J]. Remote Sensing for Land & Resources, 2007,72(2):39-43. ] doi: 10.3969/j.issn.1001-070X.2007.02.010
[18]	李静,阎广建,穆西晗.面向LAI反演的参数化SAILH模型[J].遥感学报,2010,14(6):1189-1195. doi: 10.11834/jrs.20100609
	[ Li J, Yan G J, Mu X H.A parameterized SAILH model for LAI retrieval[J]. Journal of Remote Sensing, 2010,14(6):1189-1195. ] doi: 10.11834/jrs.20100609
[19]	郭云开,曾繁.基于FLAASH与QUAC模型的SPOT5影像大气校正比较[J].测绘通报,2012(11):21-23.
	[ Guo Y K, Zeng F.Atmospheric correction comparison of SPOT 5 image based on FLAASH and QUAC model[J]. Bulletin of Surveying and Mapping, 2012(11):21-23. ]

高速公路对路域植被影响的时空格局变化遥感监测分析

Analysis of Expressway′s Impact on Vegetation in Its Spatial and Temporal Variation Based on Remote Sensing Monitoring

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