西安城区植被覆盖度时空变化特征及其驱动机制研究
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摘要
利用2002年和2009年两期LandsatTM/ETM遥感数据,以Erdas和ArcGIS软件为平台,分析了西安城区8年间的植被覆盖时空变化特征,并初步探讨了NDVI演化的驱动机制。结果表明:在2002～2009年间,西安城区植被覆盖整体发生了较大变化,其中城墙内植被由低等植被覆盖区上升为中等植被覆盖区,城北的未央区植被遭到严重破坏,三环沿线由中等植被覆盖转化为高植被覆盖区;西安城区植被覆盖的变化受自然因素影响,同时,经济快速发展与城市建设等人类生产活动是其重要驱动因素。
Based on the LandsatTM/ETM remote sensing data of 2002 and 2009, the Erdas and ArcGIS software were used as the platform to analyze the temporal and spatial variation characteristics of vegetation cover in Xi'an urban area, and the driving mechanism of NDVI evolution was discussed.The results showed that the vegetation cover in Xi'an City had undergone major changes between 2002 and 2009.Specifically, the vegetation coverage in the city wall had been improved, the vegetation in the Weiyang District of the city had been seriously damaged, and the vegetation condition along the Third Ring Road had become better;the change of vegetation cover in Xi'an city is affected by natural factors. At the same time, human production activities such as rapid economic development and urban construction are also important driving factors.
Based on the LandsatTM/ETM remote sensing data of 2002 and 2009, the Erdas and ArcGIS software were used as the platform to analyze the temporal and spatial variation characteristics of vegetation cover in Xi'an urban area, and the driving mechanism of NDVI evolution was discussed.The results showed that the vegetation cover in Xi'an City had undergone major changes between 2002 and 2009.Specifically, the vegetation coverage in the city wall had been improved, the vegetation in the Weiyang District of the city had been seriously damaged, and the vegetation condition along the Third Ring Road had become better;the change of vegetation cover in Xi'an city is affected by natural factors. At the same time, human production activities such as rapid economic development and urban construction are also important driving factors.
引文
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[11]崔卫,刘晓芹.西安市1998-2010年植被覆盖时空变化研究[J].陕西林业科技,2016(2):17～22.
[2]赵婷,白红英,邓晨晖,等.2000—2016年秦岭山地植被覆盖变化地形分异效应[J].生态学报,2019(12):1～10.
[3]张庆费,高峻,宋永昌.遥感和GIS支持下的城市植被制图及其特征分析[J].植物生态学报,2002,26(1):1～9.
[4]贾宝全,邱尔发,张红旗.基于归一化植被指数的西安市域植被变化[J].林业科学,2012,48(10):6～12.
[5]陈小瑜,林莉.基于TM/ETM+影像的泉州市地表植被变化分析[J].绿色科技,2015(6):166～169.
[6]杨薇.基于VC++的伪彩色处理图像增强[J].福建电脑,2014(10):127～128.
[7]牛宝茹,刘俊蓉,王政伟.干旱半干旱地区植被覆盖度遥感信息提取研究[J].武汉大学学报(信息科学版),2005(1):27～30.
[8]龚江峰.遥感在西安市植被评价中的应用[J].四川测绘,2008(2):77～81.
[9]胡娟.西安市宜居城市建设评价研究[D].西安:陕西师范大学,2010.
[10]胡晨旭.快速城市化条件下西安市城市化质量评价及改善策略研究[D].西安:长安大学,2013.
[11]崔卫,刘晓芹.西安市1998-2010年植被覆盖时空变化研究[J].陕西林业科技,2016(2):17～22.