基于时序植被指数的湖北省物候空间特征分析
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摘要
湖北省地貌类型多样,植被类型丰富,也是农业大省,物候信息监测对于自然生态和农业生产具有重要意义。使用MODIS MOD13Q1产品中的归一化植被指数数据集,运用时间序列谐波分析法重构NDVI时序曲线,并结合土地覆被数据,采用物候特征动态阈值法获取湖北省植被物候空间分布特征,分析不同土地覆被类型的物候指标。结果表明:(1)湖北省西部山区、东南部和东北部丘陵地区,多为自然植被覆盖,且植被状况良好,NDVI最大值达到0.75以上,大部分区域NDVI最小值在0.6以上。中部江汉平原和农作物区域NDVI变化受农业耕种方式影响较大,与自然植被NDVI变化特征有所差异。(2)不同土地覆被类型物候特征各异。湖北省大部分区域的植被在2月到3月进入生长季,11月到12月结束生长,襄阳地区呈现相反的特征。耕地、裸地、水体等受人类影响较大的土地覆被类型生长季长度较短,开始时间较晚,结束较早。森林、草地、灌丛等自然植被生长季长度较长,开始较早、结束较晚。(3)物候参数由于地形地貌、地表覆被类型、人类和自然因素的影响具有显著的差异,对区域植被生态状况、不同土地覆被类型物候空间分布特点的分析,结果对于植被生态保护、植被分类、农业区划等都具有参考意义。
Hubei Province is a large agricultural province with diverse landforms and abundant vegetation types. Phenological information monitoring is of great significance to natural ecology and agricultural production. In this study, based on the normalized vegetation index data set of MODIS MOD13 Q1 products, time series harmonic analysis method was used to reconstruct NDVI time series curve. Combining with land cover data, the spatial distribution characteristics of vegetation phenology in Hubei Province were obtained by the dynamic threshold method of phenological characteristics, and the phenological indexes of different land cover types were analyzed. The results show that:(1)Most of the western mountainous areas, southeastern and northeastern hilly areas of Hubei Province are covered by natural vegetation covering from NDVI change characteristic. The maximum NDVI value is above 0.75, and the minimum NDVI value is above 0.6 in most of these areas which indicate good vegetation condition. NDVI characteristic changes in central Jianghan plain and crop regions are greatly affected by agricultural cultivation, which are different from that of natural vegetation.(2)The phenological characteristics vary among different land cover types. The vegetation in most areas of Hubei Province enters the growing season from February to March, and ends growing from November to December. The contrary characteristics are found in Xiangyang area. Land cover types such as cultivated land, bare land, and water bodies that are greatly affected by humans have shorter growth seasons, and the start time is later, ending earlier. The growth season of natural vegetation such as forests, grasslands and shrubs are longer, starting earlier and ending later.(3)Phenological parameters have significant differences due to the influence of topography, land cover types, human and natural factors. The analysis of the regional vegetation ecological status and the spatial distribution characteristics of phenological characteristics of different land cover types had significance for vegetation ecological protection, vegetation classification and agricultural regionalization.
Hubei Province is a large agricultural province with diverse landforms and abundant vegetation types. Phenological information monitoring is of great significance to natural ecology and agricultural production. In this study, based on the normalized vegetation index data set of MODIS MOD13 Q1 products, time series harmonic analysis method was used to reconstruct NDVI time series curve. Combining with land cover data, the spatial distribution characteristics of vegetation phenology in Hubei Province were obtained by the dynamic threshold method of phenological characteristics, and the phenological indexes of different land cover types were analyzed. The results show that:(1)Most of the western mountainous areas, southeastern and northeastern hilly areas of Hubei Province are covered by natural vegetation covering from NDVI change characteristic. The maximum NDVI value is above 0.75, and the minimum NDVI value is above 0.6 in most of these areas which indicate good vegetation condition. NDVI characteristic changes in central Jianghan plain and crop regions are greatly affected by agricultural cultivation, which are different from that of natural vegetation.(2)The phenological characteristics vary among different land cover types. The vegetation in most areas of Hubei Province enters the growing season from February to March, and ends growing from November to December. The contrary characteristics are found in Xiangyang area. Land cover types such as cultivated land, bare land, and water bodies that are greatly affected by humans have shorter growth seasons, and the start time is later, ending earlier. The growth season of natural vegetation such as forests, grasslands and shrubs are longer, starting earlier and ending later.(3)Phenological parameters have significant differences due to the influence of topography, land cover types, human and natural factors. The analysis of the regional vegetation ecological status and the spatial distribution characteristics of phenological characteristics of different land cover types had significance for vegetation ecological protection, vegetation classification and agricultural regionalization.
引文
[1] 葛全胜,戴君虎,郑景云.物候学研究进展及中国现代物候学面临的挑战[J].中国科学院院刊,2010,25(3):310-316.GE Q SH,DAI J H,ZHENG J Y.The progress of phenology studies and challenges to modern phenology research in China[J].Bulletin of Chinese Academy of Sciences,2010,25(3):310-316.
[2] SKIDMORE A,PETTORELLI N,COOPS N C,et al.Environmental science:Agree on biodiversity metrics to track from space[J].Nature,2015,523(7561):403-405.
[3] 温刚,符淙斌.中国东部季风区植被物候季节变化对气候响应的大尺度特征:年际比较[J].气候与环境研究,2001,6(1):1-11.WEN G,FU C B.Large scale features of the seasonal phenological responses to the monsoon climate in East China:Interannual variations[J].Climatic & Environmental Research,2001,6(1):1-11.
[4] 宋春桥,游松财,柯灵红,等.藏北高原典型植被样区物候变化及其对气候变化的响应[J].生态学报,2012,32(4):41-51.SONG CH Q,YOU S CH,KE L H,et al.Phenological variation of typical vegetation types in northern Tibet and its response to climate changes[J].Acta Ecologica Sinica,2012,32(4):41-51.
[5] VERBESSELT J,HYNDMAN R J,NEWNHAM G,et al.Detecting trend and seasonal changes in satellite image time series[J].Remote Sensing of Environment,2010,114(1):106-115.
[6] 张霞,孙睿,张兵,等.基于MODIS植被指数时间谱的华北平原土地覆盖分类[J].农业工程学报,2006,22(12):128-132,309.ZHANG X,SUN R,ZHANG B,et al.Land cover classification of North China Plain using MODIS_EVI temporal profile[J].Transactions of the Chinese Society of Agricultural Engineering,2006,22(12):128-132,309.
[7] JIA K,LIANG S,WEI X,et al.Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data[J].Remote Sensing,2014,6(11):11518-11532.
[8] 左丽君,董婷婷,汪潇,等.基于MODIS/EVI的中国北方耕地复种指数提取[J].农业工程学报,2009,25(08):141-146.ZUO L J,DONG T T,WANG X,et al.Multiple cropping index of Northern China based on MODIS/EVI[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(8):141-146.
[9] 赵晶晶,刘良云,徐自为,等.华北平原冬小麦总初级生产力的遥感监测[J].农业工程学报,2011,27(S1):346-351,419.ZHAO J J,LIU L Y,XU Z W,et al.Monitoring winter wheat GPP in Huabei Plain using remote sensing and flux tower[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(13):346-351,419.
[10] ZHANG X,FRIEDL M A,SCHAAF C B,et al.Monitoring vegetation phenology using MODIS[J].Remote Sensing of Environment,2003,84(3):471-475.
[11] HOLBEN B.Characteristics of maximum-value composite images from temporal AVHRR data[J].International Journal of Remote Sensing,1986,7(11):1417-1434.
[12] ZHANG X,FRIEDL M A,Schaaf C B.Sensitivity of vegetation phenology detection to the temporal resolution of satellite data[J].International Journal of Remote Sensing,2009,30(8):2061-2074.
[13] 陈效逑,王林海.遥感物候学研究进展[J].地理科学进展,2009,28(1):33-40.CHEN X Q,WANG L H.Progress in Remote Sensing Phenological Research[J].Progress in Geography,2009,28(1):33-40.
[14] BRADLEY B A,JACOB R W,HERMANCE J F,et al.A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data[J].Remote Sensing of Environment,2007,106(2):137-145.
[15] 夏传福,李静,柳钦火.植被物候遥感监测研究进展[J].遥感学报,2013,17(1):1-16.XIA CH F,LI J,LIU Q H.Review of advances in vegetation phenology monitoring by remote sensing[J].Journal of Remote Sensing,2013,17(1):1-16.
[16] 王映明.湖北植被区划(上)[J].武汉植物学研究,1985,3(1):61-73.WANG Y M.ON THE VEGETATION REGIONALIZATION OF HUBEI PROVINCE(A)[J].Journal of Wuhan Botanical Research,1985,3(1):61-73.
[17] 陈军,陈晋,廖安平,等.全球30 m地表覆盖遥感制图的总体技术[J].测绘学报,2014(6):551-557.CHEN J,CHEN J,LIAO A P,et al.Concepts and Key Techniques for 30 m Global Land Cover Mapping[J].Acta Geodaetica Et Cartographica Sinica,2014,43(6):551-557.
[18] CHEN J,CHEN J,LIAO A,et al.Global land cover mapping at 30m resolution:A POK-based operational approach[J].ISPRS Journal of Photogrammetry and Remote Sensing,2015,103(Supplement C):7-27.
[19] 殷贺,李正国,王仰麟,等.基于时间序列植被特征的内蒙古荒漠化评价[J].地理学报,2011,66(5):653-661.YIN H,LI ZH G,WANG Y L,et al.Assessment of desertification using time series analysis of hyper-temporal vegetation indicator in Inner Mongolia[J].Acta Geographica Sinica,2011,66(5):653-661.
[20] JAKUBAUSKAS M E.Harmonic analysis of time-series AVHRR NDVI Data[J].Photogrammetric Engineering & Remote Sensing,2001,67(4):461-470.
[21] JAKUBAUSKAS M E,LEGATES D R,KASTENS J H.Crop identification using harmonic analysis of time-series AVHRR NDVI data[J].Computers & Electronics in Agriculture,2002,37(1):127-139.
[22] J?NSSON P,EKLUNDH L.TIMESAT-a program for analyzing time-series of satellite sensor data[J].Computers & Geosciences,2004,30(8):833-845.
[23] ZRIBI M,LE HéGARAT-MASCLE S,TACONET O,et al.Derivation of wild vegetation cover density in semi-arid regions:ERS2/SAR evaluation[J].International Journal of Remote Sensing,2003,24(6):1335-1352.
[24] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.LI M M,WU B F,YAN CH Z,et al.Estimation of vegetation fraction in the upper basin of Miyun Reservoir by remote sensing[J].Resources Science,2004,26(4):153-159.
[25] 王晓辉,杨扬.鹤地水库叶绿素a时空分布特征及其与环境因子的关系[J].水生态学杂志,2017,38(2):65-69.WANG X H,YANG Y.Spatial-temporal distribution of Chlorophyll-a and its relationship with environmental factors in Hedi Reservoir[J].Journal of Hydroecology,2017,38(2):65-69.
[26] 王昆,吴景,杜静,等.夏季和冬季辽东湾海域水体中叶绿素a含量分布特征[J].水产科学,2016,35(6):675-680.WANG K,WU J,DU J,et al.Distribution of Chlorophyll-a concentration in sea waters of Liaodong Bay in summer and winter[J].Fisheries Science,2016,35(6):675-680.
[2] SKIDMORE A,PETTORELLI N,COOPS N C,et al.Environmental science:Agree on biodiversity metrics to track from space[J].Nature,2015,523(7561):403-405.
[3] 温刚,符淙斌.中国东部季风区植被物候季节变化对气候响应的大尺度特征:年际比较[J].气候与环境研究,2001,6(1):1-11.WEN G,FU C B.Large scale features of the seasonal phenological responses to the monsoon climate in East China:Interannual variations[J].Climatic & Environmental Research,2001,6(1):1-11.
[4] 宋春桥,游松财,柯灵红,等.藏北高原典型植被样区物候变化及其对气候变化的响应[J].生态学报,2012,32(4):41-51.SONG CH Q,YOU S CH,KE L H,et al.Phenological variation of typical vegetation types in northern Tibet and its response to climate changes[J].Acta Ecologica Sinica,2012,32(4):41-51.
[5] VERBESSELT J,HYNDMAN R J,NEWNHAM G,et al.Detecting trend and seasonal changes in satellite image time series[J].Remote Sensing of Environment,2010,114(1):106-115.
[6] 张霞,孙睿,张兵,等.基于MODIS植被指数时间谱的华北平原土地覆盖分类[J].农业工程学报,2006,22(12):128-132,309.ZHANG X,SUN R,ZHANG B,et al.Land cover classification of North China Plain using MODIS_EVI temporal profile[J].Transactions of the Chinese Society of Agricultural Engineering,2006,22(12):128-132,309.
[7] JIA K,LIANG S,WEI X,et al.Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data[J].Remote Sensing,2014,6(11):11518-11532.
[8] 左丽君,董婷婷,汪潇,等.基于MODIS/EVI的中国北方耕地复种指数提取[J].农业工程学报,2009,25(08):141-146.ZUO L J,DONG T T,WANG X,et al.Multiple cropping index of Northern China based on MODIS/EVI[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(8):141-146.
[9] 赵晶晶,刘良云,徐自为,等.华北平原冬小麦总初级生产力的遥感监测[J].农业工程学报,2011,27(S1):346-351,419.ZHAO J J,LIU L Y,XU Z W,et al.Monitoring winter wheat GPP in Huabei Plain using remote sensing and flux tower[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(13):346-351,419.
[10] ZHANG X,FRIEDL M A,SCHAAF C B,et al.Monitoring vegetation phenology using MODIS[J].Remote Sensing of Environment,2003,84(3):471-475.
[11] HOLBEN B.Characteristics of maximum-value composite images from temporal AVHRR data[J].International Journal of Remote Sensing,1986,7(11):1417-1434.
[12] ZHANG X,FRIEDL M A,Schaaf C B.Sensitivity of vegetation phenology detection to the temporal resolution of satellite data[J].International Journal of Remote Sensing,2009,30(8):2061-2074.
[13] 陈效逑,王林海.遥感物候学研究进展[J].地理科学进展,2009,28(1):33-40.CHEN X Q,WANG L H.Progress in Remote Sensing Phenological Research[J].Progress in Geography,2009,28(1):33-40.
[14] BRADLEY B A,JACOB R W,HERMANCE J F,et al.A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data[J].Remote Sensing of Environment,2007,106(2):137-145.
[15] 夏传福,李静,柳钦火.植被物候遥感监测研究进展[J].遥感学报,2013,17(1):1-16.XIA CH F,LI J,LIU Q H.Review of advances in vegetation phenology monitoring by remote sensing[J].Journal of Remote Sensing,2013,17(1):1-16.
[16] 王映明.湖北植被区划(上)[J].武汉植物学研究,1985,3(1):61-73.WANG Y M.ON THE VEGETATION REGIONALIZATION OF HUBEI PROVINCE(A)[J].Journal of Wuhan Botanical Research,1985,3(1):61-73.
[17] 陈军,陈晋,廖安平,等.全球30 m地表覆盖遥感制图的总体技术[J].测绘学报,2014(6):551-557.CHEN J,CHEN J,LIAO A P,et al.Concepts and Key Techniques for 30 m Global Land Cover Mapping[J].Acta Geodaetica Et Cartographica Sinica,2014,43(6):551-557.
[18] CHEN J,CHEN J,LIAO A,et al.Global land cover mapping at 30m resolution:A POK-based operational approach[J].ISPRS Journal of Photogrammetry and Remote Sensing,2015,103(Supplement C):7-27.
[19] 殷贺,李正国,王仰麟,等.基于时间序列植被特征的内蒙古荒漠化评价[J].地理学报,2011,66(5):653-661.YIN H,LI ZH G,WANG Y L,et al.Assessment of desertification using time series analysis of hyper-temporal vegetation indicator in Inner Mongolia[J].Acta Geographica Sinica,2011,66(5):653-661.
[20] JAKUBAUSKAS M E.Harmonic analysis of time-series AVHRR NDVI Data[J].Photogrammetric Engineering & Remote Sensing,2001,67(4):461-470.
[21] JAKUBAUSKAS M E,LEGATES D R,KASTENS J H.Crop identification using harmonic analysis of time-series AVHRR NDVI data[J].Computers & Electronics in Agriculture,2002,37(1):127-139.
[22] J?NSSON P,EKLUNDH L.TIMESAT-a program for analyzing time-series of satellite sensor data[J].Computers & Geosciences,2004,30(8):833-845.
[23] ZRIBI M,LE HéGARAT-MASCLE S,TACONET O,et al.Derivation of wild vegetation cover density in semi-arid regions:ERS2/SAR evaluation[J].International Journal of Remote Sensing,2003,24(6):1335-1352.
[24] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.LI M M,WU B F,YAN CH Z,et al.Estimation of vegetation fraction in the upper basin of Miyun Reservoir by remote sensing[J].Resources Science,2004,26(4):153-159.
[25] 王晓辉,杨扬.鹤地水库叶绿素a时空分布特征及其与环境因子的关系[J].水生态学杂志,2017,38(2):65-69.WANG X H,YANG Y.Spatial-temporal distribution of Chlorophyll-a and its relationship with environmental factors in Hedi Reservoir[J].Journal of Hydroecology,2017,38(2):65-69.
[26] 王昆,吴景,杜静,等.夏季和冬季辽东湾海域水体中叶绿素a含量分布特征[J].水产科学,2016,35(6):675-680.WANG K,WU J,DU J,et al.Distribution of Chlorophyll-a concentration in sea waters of Liaodong Bay in summer and winter[J].Fisheries Science,2016,35(6):675-680.
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