基于LSMM的青海湖流域植被覆盖度时空变化分析
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摘要
基于2000、2008、2016年3个时相的Landsat影像,采用线性光谱混合分解模型提取了三期的青海湖流域植被覆盖度。结果表明,2000-2008年植被覆盖度有小幅度上升;而2008-2016年则表现出植被覆盖度极明显增加,这一变化与2008年启动的青海湖流域综合治理项目密切相关。
Based on Landsat images from three phases in 2000,2008 and 2016,the linear spectral mixture model(LSMM) was used to extract the vegetation coverage of the Qinghai Lake Basin in the three phases. The results showed that there was a slight increase in vegetation coverage between 2000 and 2008,while the vegetation coverage indicated a very significant increase during 2008 to 2016,and the increase between 2008 and 2016 was closely related to the Qinghai Lake Basin Comprehensive Restoration Project initiated in 2008.
Based on Landsat images from three phases in 2000,2008 and 2016,the linear spectral mixture model(LSMM) was used to extract the vegetation coverage of the Qinghai Lake Basin in the three phases. The results showed that there was a slight increase in vegetation coverage between 2000 and 2008,while the vegetation coverage indicated a very significant increase during 2008 to 2016,and the increase between 2008 and 2016 was closely related to the Qinghai Lake Basin Comprehensive Restoration Project initiated in 2008.
引文
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[3]潘耀忠,李晓兵,何春阳.中国土地覆盖综合分类研究---基于NOAA/AVHRR和Holdridge PE[J].第四纪研究,2000,20(3):270-281.
[4]赵英时,杨忆.全新世海侵痕迹遥感信息特征提取方法研究[J].地理研究,1996,15(1):73-81.
[5]张熙川,赵英时.应用线性光谱混合模型快速评价土地退化的方法研究[J].中国科学院研究生院学报,1999,16(12):169-176.
[6]赵英时.美国中西部沙山地区环境变化的遥感研究[J].地理研究,2001,20(2):213-219.
[7]周纪,陈云浩,张锦水,等.北京城市不透水层覆盖度遥感估算[J].国土资源遥感,2007(3):13-17,27.
[8]陈克龙,李双成,周巧富,等.近25年来青海湖流域景观结构动态变化及其对生态系统服务功能的影响[J].资源科学,2008,30(2):274-280.
[9]刘佳,王芳,于福亮.青海湖水位动态趋势预测[J].水利学报,2009,40(3):319-327.
[10]张伟.青海湖流域湿地生态环境质量现状评价[D].西宁:青海师范大学,2012.
[11]ROBERTS D A,GARDNER M,CHURCH R,et al.Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models[J].Remote Sensing of Environment,1998,65(3):267-279.
[12]SMITH M O,USTIN S L,ADAMS J B,et al.Vegetation in deserts:I.A regional measure of abundance from multispectral images[J].Remote Sensing of Environment,1990,31(1):1-26.
[13]PIWOWAR J M,PEDDLE D R,LEDREW E F.Temporal mixture analysis of arctic sea Ice imagery:A new approach for monitoring environmental change[J].Remote Sensing of Environment,1998,63(3):195-207.
[14]ZHOU X,FOLVING S.Application of spectral mixture modelling to the regional assessment of land degradation:A case study from basilicata,Italy[J].Land Degradation&Development,1994,5(3):215-222.
[15]廖春华,张显峰,刘羽.基于多端元光谱分解的干旱区植被覆盖度遥感反演[J].应用生态学报,2012,23(12):3243-3249.
[16]周亚男,骆剑承,沈占锋,等.基于局部端元提取的遥感影像波段模拟[J].光谱学与光谱分析,2013,33(12):3349-3353.
[17]杨强,张志,覃志豪,等.基于ASTER数据的混合像元分解技术在水质监测与评价中的应用[J].遥感信息,2011(2):20-25.
[18]刘金锋.基于多源遥感数据的青海湖流域植被指数研究[D].西宁:青海师范大学,2014.