基于遥感的东北植被物候沿城乡梯度变化
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摘要
植被物候沿城乡梯度的变化反映城市化过程对局地水热条件的调节作用。遥感技术可从区域和全球等大尺度上获取植被物候信息,从而弥补传统物候观测方法的不足。本研究以我国东北省会城市沈阳、长春、哈尔滨为例,基于MODIS NDVI数据,利用SavitzkyGolay滤波和分段高斯函数计算了各城区周边20 km内缓冲带的2种关键物候参数(生长季开始和结束日期);分析多年平均物候沿城乡梯度的变化,以及地表温度和林地盖度对物候空间变化的影响。结果发现:距城区越近,生长季开始越早,结束越晚,变化也越明显;在城乡梯度上,生长季随春季和前一年冬季地温升高而提前开始6~31 d·℃~(-1),随夏秋两季地温升高而推迟结束0.9~7.6 d·℃~(-1),而部分缓冲带内林地增多也会导致类似的生长季提前开始和延后结束。
Changes of vegetation phenology along the urban-rural gradients can reflect how urbanization regulates local water and heat conditions. Remote sensing can provide vegetation phenology at large scales( e.g. regional or global),making it a great alternative to traditional observation method. Taking three provincial capital cities( Shenyang,Changchun,Harbin) in Northeast China as examples,this study examined two critical phenology parameters( start of growing season,and end of growing season) in the buffer zones within 20 km from these urban areas,which were calculated from time series MODIS NDVI images using Savitzky-Golay filtering and segmented Gaussian method. Changes of multi-year mean parameters along the urban-rural gradients in relation to land surface temperature and forest coverage were analyzed. The results show that areas closer to urban sites tend to have earlier start of growing season,later end of growing season,and greater variability. Along the urban-rural gradients,1 ℃ increase of land surface temperature in spring and last winter leads to an advance in start of growing season by 6-31 days,while 1 ℃ increase of land surface temperature in summer and autumn leads to a delay in end of growing season by 0.9-7. 6 days. In some buffer zones,increase of forest coverage also contributes similar advances in start of growing season and delays in end of growing season.
Changes of vegetation phenology along the urban-rural gradients can reflect how urbanization regulates local water and heat conditions. Remote sensing can provide vegetation phenology at large scales( e.g. regional or global),making it a great alternative to traditional observation method. Taking three provincial capital cities( Shenyang,Changchun,Harbin) in Northeast China as examples,this study examined two critical phenology parameters( start of growing season,and end of growing season) in the buffer zones within 20 km from these urban areas,which were calculated from time series MODIS NDVI images using Savitzky-Golay filtering and segmented Gaussian method. Changes of multi-year mean parameters along the urban-rural gradients in relation to land surface temperature and forest coverage were analyzed. The results show that areas closer to urban sites tend to have earlier start of growing season,later end of growing season,and greater variability. Along the urban-rural gradients,1 ℃ increase of land surface temperature in spring and last winter leads to an advance in start of growing season by 6-31 days,while 1 ℃ increase of land surface temperature in summer and autumn leads to a delay in end of growing season by 0.9-7. 6 days. In some buffer zones,increase of forest coverage also contributes similar advances in start of growing season and delays in end of growing season.
引文
蔡红艳,杨小唤,张树文.2014.植物物候对城市热岛响应的研究进展.生态学杂志,33(1):221-228.
崔凯,蒙继华,左延英.2012.遥感作物物候监测方法研究.安徽农业科学,40(10):6279-6281.
陈效逑,王林海.2009.遥感物候学研究进展.地理科学进展,28(1):33-40.
代鲁燕,沈其君,张波,等.2013.相对权重法在线性模型自变量相对重要性中的估计及其应用.中国卫生统计,30(1):19-22.
国志兴,张晓宁,王宗明,等.2010.东北地区植被物候对气候变化的响应.生态学杂志,29(3):575-585.
韩贵锋,徐建华,袁兴中.2008.城市化对长三角地区主要城市植被物候的影响.应用生态学报,19(8):1803-1809.
黄清,唐华俊,吴文斌,等.2013.农作物分布格局动态变化的遥感监测---以东北三省为例.中国农业科学,46(13):2668-2676.
黄耀欢,王建华,江东,等.2009.利用S-G滤波进行MO-DIS-EVI时间序列数据重构.武汉大学学报,34(12):1440-1443.
刘金龙,郭华东,张露.2014.京津唐地区城市化对植被物候的影响研究.遥感技术与应用,29(2):286-292.
刘玲玲,刘良云,胡勇.2012.基于AVHRR和MODIS数据的全球植被物候比较分析.遥感技术与应用,27(5):754-762.
罗玲,王宗明,宋开山,等.2009.1982-2003年中国东北地区不同类型植被NDVI与气候因子的关系研究.西北植物学报,29(4):800-808.
李娜.2015.基于遥感的植被物候学方法研究.安徽农业科学,43(5):318-319.
莫非,赵鸿,王建永,等.2011.全球变化下植物物候研究的关键问题.生态学报,31(9):2593-2601.
宋春桥,柯灵红,游松财,等.2011.基于TIMESAT的3种时序NDVI你和方法比较研究---以藏北草地为例.遥感技术与应用,26(2):147-155.
王建凯,王开存,王普才.2007.基于MODIS地表温度产品的北京城市热岛(冷岛)强度分析.遥感学报,11(3):330-339.
武永峰,李茂松,宋吉青.2008.植物物候遥感监测研究进展.气象与环境学报,24(3):51-58.
夏传福,李静,柳钦火.2013.植被物候遥感监测研究进展.遥感学报,17(1):1-16.
徐浩杰,杨太保.2013.近13 a来黄河源区高寒草地物候的时空变异性.干旱区地理,36(3):467-474.
于信芳,庄大方.2006.基于MODIS NDVI数据的东北森林物候期监测.资源科学,28(4):111-117.
张清,任茹,赵亮.2013.东北地区森林的空间分布格局及影响因素.东北林业大学学报,41(2):25-28.
张学霞,葛全胜,郑景云.2003.遥感技术在植被物候研究中的应用综述.地球科学进展,18(4):534-544.
周增光,唐娉.2013.基于质量权重的Savitzky-Golay时间序列滤波方法.遥感技术与应用,28(2):232-239.
Butt B,Turner MD,Singh A,et al.2011.Use of MODIS NDVIto evaluate changing latitudinal gradients of rangeland phenology in Sudano-Sahelian West Africa.Remote Sensing of Environment,115:3367-3376.
Chen J,J9nsson P,Tamura M,et al.2004.A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter.Remote Sensing of Environment,91:332-344.
Clinton N,Gong P.2013.MODIS detected surface urban heat islands and sinks:Global locations and controls.Remote Sensing of Environment,134:294-304.
Cong N,Piao SL,Chen AP,et al.2012.Spring vegetation green-up date in China inferred from SPOT NDVI data:Amultiple model analysis.Agricultural and Forest Meteorology,165:104-113.
Han GF,Xu JH.2013.Land surface phenology and land surface temperature changes along an urban-rural gradient in Yangtze River Delta,China.Environmental Management,52:234-249.
Johnson JW.2000.A heuristic method for estimating the relative weight of predictor variables in multiple regression.Multivariate Behavioral Research,35:1-19.
Jonsson P,Eklundh L.2004.TIMESAT:A program for analyzing time-series of satellite sensor data.Computers&Geosciences,30:833-845.
Le Breton JM,Tonidandel S.2008.Multivariate relative importance:Extending relative weight analysis to multivariate criterion spaces.Journal of Applied Psychology,93:329-345.
Sun JY,Wang XH,Chen AP,et al.2011.NDVI indicated characteristics of vegetation cover change in China’s metropolises over the last three decades.Environmental Monitoring and Assessment,179:1-14.
Tonidandel S,Le Breton JM,Johnson JW.2009.Determining the statistical significance of relative weights.Psychological Methods,14:387-399.
White MA,Nemani RR,Thornton PE,et al.2002.Satellite evidence of phonological differences between urbanized and rural areas of the eastern United States deciduous broadleaf forest.Ecosystems,5:260-277.
Zhang XY,Friedl MA,Schaaf CB,et al.2004.Climate controls on phonological patterns in northern mid and high latitudes inferred from MODIS data.Global Change Biology,10:1133-1145.
Zhou DC,Zhao SQ,Liu SG,et al.2014.Spatiotemporal trends of terrestrial vegetation activity along the urban development intensity gradient in China’s 32 major cities.Science of the Total Environment,488-489:136-145.
Zhou DC,Zhao SQ,Zhang LX,et al.2016.Remotely sensed assessment of urbanization effects on vegetation phenology in China’s 32 major cities.Remote Sensing of Environment,176:272-281.
崔凯,蒙继华,左延英.2012.遥感作物物候监测方法研究.安徽农业科学,40(10):6279-6281.
陈效逑,王林海.2009.遥感物候学研究进展.地理科学进展,28(1):33-40.
代鲁燕,沈其君,张波,等.2013.相对权重法在线性模型自变量相对重要性中的估计及其应用.中国卫生统计,30(1):19-22.
国志兴,张晓宁,王宗明,等.2010.东北地区植被物候对气候变化的响应.生态学杂志,29(3):575-585.
韩贵锋,徐建华,袁兴中.2008.城市化对长三角地区主要城市植被物候的影响.应用生态学报,19(8):1803-1809.
黄清,唐华俊,吴文斌,等.2013.农作物分布格局动态变化的遥感监测---以东北三省为例.中国农业科学,46(13):2668-2676.
黄耀欢,王建华,江东,等.2009.利用S-G滤波进行MO-DIS-EVI时间序列数据重构.武汉大学学报,34(12):1440-1443.
刘金龙,郭华东,张露.2014.京津唐地区城市化对植被物候的影响研究.遥感技术与应用,29(2):286-292.
刘玲玲,刘良云,胡勇.2012.基于AVHRR和MODIS数据的全球植被物候比较分析.遥感技术与应用,27(5):754-762.
罗玲,王宗明,宋开山,等.2009.1982-2003年中国东北地区不同类型植被NDVI与气候因子的关系研究.西北植物学报,29(4):800-808.
李娜.2015.基于遥感的植被物候学方法研究.安徽农业科学,43(5):318-319.
莫非,赵鸿,王建永,等.2011.全球变化下植物物候研究的关键问题.生态学报,31(9):2593-2601.
宋春桥,柯灵红,游松财,等.2011.基于TIMESAT的3种时序NDVI你和方法比较研究---以藏北草地为例.遥感技术与应用,26(2):147-155.
王建凯,王开存,王普才.2007.基于MODIS地表温度产品的北京城市热岛(冷岛)强度分析.遥感学报,11(3):330-339.
武永峰,李茂松,宋吉青.2008.植物物候遥感监测研究进展.气象与环境学报,24(3):51-58.
夏传福,李静,柳钦火.2013.植被物候遥感监测研究进展.遥感学报,17(1):1-16.
徐浩杰,杨太保.2013.近13 a来黄河源区高寒草地物候的时空变异性.干旱区地理,36(3):467-474.
于信芳,庄大方.2006.基于MODIS NDVI数据的东北森林物候期监测.资源科学,28(4):111-117.
张清,任茹,赵亮.2013.东北地区森林的空间分布格局及影响因素.东北林业大学学报,41(2):25-28.
张学霞,葛全胜,郑景云.2003.遥感技术在植被物候研究中的应用综述.地球科学进展,18(4):534-544.
周增光,唐娉.2013.基于质量权重的Savitzky-Golay时间序列滤波方法.遥感技术与应用,28(2):232-239.
Butt B,Turner MD,Singh A,et al.2011.Use of MODIS NDVIto evaluate changing latitudinal gradients of rangeland phenology in Sudano-Sahelian West Africa.Remote Sensing of Environment,115:3367-3376.
Chen J,J9nsson P,Tamura M,et al.2004.A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter.Remote Sensing of Environment,91:332-344.
Clinton N,Gong P.2013.MODIS detected surface urban heat islands and sinks:Global locations and controls.Remote Sensing of Environment,134:294-304.
Cong N,Piao SL,Chen AP,et al.2012.Spring vegetation green-up date in China inferred from SPOT NDVI data:Amultiple model analysis.Agricultural and Forest Meteorology,165:104-113.
Han GF,Xu JH.2013.Land surface phenology and land surface temperature changes along an urban-rural gradient in Yangtze River Delta,China.Environmental Management,52:234-249.
Johnson JW.2000.A heuristic method for estimating the relative weight of predictor variables in multiple regression.Multivariate Behavioral Research,35:1-19.
Jonsson P,Eklundh L.2004.TIMESAT:A program for analyzing time-series of satellite sensor data.Computers&Geosciences,30:833-845.
Le Breton JM,Tonidandel S.2008.Multivariate relative importance:Extending relative weight analysis to multivariate criterion spaces.Journal of Applied Psychology,93:329-345.
Sun JY,Wang XH,Chen AP,et al.2011.NDVI indicated characteristics of vegetation cover change in China’s metropolises over the last three decades.Environmental Monitoring and Assessment,179:1-14.
Tonidandel S,Le Breton JM,Johnson JW.2009.Determining the statistical significance of relative weights.Psychological Methods,14:387-399.
White MA,Nemani RR,Thornton PE,et al.2002.Satellite evidence of phonological differences between urbanized and rural areas of the eastern United States deciduous broadleaf forest.Ecosystems,5:260-277.
Zhang XY,Friedl MA,Schaaf CB,et al.2004.Climate controls on phonological patterns in northern mid and high latitudes inferred from MODIS data.Global Change Biology,10:1133-1145.
Zhou DC,Zhao SQ,Liu SG,et al.2014.Spatiotemporal trends of terrestrial vegetation activity along the urban development intensity gradient in China’s 32 major cities.Science of the Total Environment,488-489:136-145.
Zhou DC,Zhao SQ,Zhang LX,et al.2016.Remotely sensed assessment of urbanization effects on vegetation phenology in China’s 32 major cities.Remote Sensing of Environment,176:272-281.