伊犁绢蒿荒漠草地植物光谱特征
|
摘要
不同地区荒漠草地群落组成差异较大,如何将这种差异提取出来进而能够快速、高效的识别物种和区分群落值得研究。本研究利用便携式地物光谱仪对伊犁绢蒿(Seriphidium transiliense)+叉毛蓬(Petrosimonia sibirica)[W群落]和伊犁绢蒿+木地肤(Kochia prostrata)[S群落]两个群落进行光谱采集,分别测定群落及主要植物的反射光谱,通过分析植物光谱特征及归一化植被指数(normalized difference vegetation index, NDVI)和比值植被指数(ratio vegetation index,RVI),探讨利用光谱特征和植被指数进行植被分类的可行性。结果表明,在两个时期,不同植物的绿光反射特征和红光吸收深度差异较大。伊犁绢蒿与涩芥(Malcolmia maritima)、角果藜(Ceratocarpus arenarius)的NDVI接近。受植被季相的影响,物种与群落的RVI在5月差异明显,在9月受土壤背景的影响较大,致使物种和群落之间的RVI差异不明显,无法明确区分物种和群落。因此对于不同物种组成的伊犁绢蒿荒漠草地,可在5月牧草返青期利用RVI分类。
The community composition of desert grassland in different regions is quite different. Using this difference to identify the constituent species and distinguish the community quickly and efficiently is worth studying. In this study, using a portable spectrometer, the spectral characteristics of community and plants were collected on two communities: Seriphidium transiliense + Petrosimonia sibirica(W community) and Seriphidium transiliense + Kochia prostrata(S community). By analyzing the spectral characteristics, normalized difference vegetation index(NDVI) and ratio vegetation index(RVI), the feasibility of using spectral features and vegetation indices for vegetation classification was discussed. The results showed that the reflection characteristics indicated by the green band and absorption depth indicated by the red band of different plants were significantly different in May and September. The NDVI of S. transiliense was similar to that of Malcolmia maritima and Ceratocarpus arenarius. Affected by the seasonal phase, the RVI of species and community was significantly different in May; however, in September, the RVI differences between species and communities were not obvious, possibly owing to the influence of soil, which made it impossible to clearly distinguish species and communities based on RVI in this month. Therefore, RVI can be used to classify S. transiliense desert grassland composed of different species in May.
The community composition of desert grassland in different regions is quite different. Using this difference to identify the constituent species and distinguish the community quickly and efficiently is worth studying. In this study, using a portable spectrometer, the spectral characteristics of community and plants were collected on two communities: Seriphidium transiliense + Petrosimonia sibirica(W community) and Seriphidium transiliense + Kochia prostrata(S community). By analyzing the spectral characteristics, normalized difference vegetation index(NDVI) and ratio vegetation index(RVI), the feasibility of using spectral features and vegetation indices for vegetation classification was discussed. The results showed that the reflection characteristics indicated by the green band and absorption depth indicated by the red band of different plants were significantly different in May and September. The NDVI of S. transiliense was similar to that of Malcolmia maritima and Ceratocarpus arenarius. Affected by the seasonal phase, the RVI of species and community was significantly different in May; however, in September, the RVI differences between species and communities were not obvious, possibly owing to the influence of soil, which made it impossible to clearly distinguish species and communities based on RVI in this month. Therefore, RVI can be used to classify S. transiliense desert grassland composed of different species in May.
引文
[1]许宝泉,梁长利,蔡定建,施为群,孙国钧.祖历河流域自然草地生产力遥感反演.干旱区研究,2014,31(6):1147-1152.XU B Q,LIANG C L,CAI D J,SHI W Q,SUN G J.Inversion of natural grassland productivity from remote sensor imagery in Zulihe River Basin.Arid Zone Research,2014,31(6):1147-1152.
[2]王焕炯,范闻捷,崔要奎,周磊,闫彬彦,吴代晖,徐希孺.草地退化的高光谱遥感监测方法.光谱学与光谱分析,2010,30(10):2734-2738.WANG H J,FAN W J,CUI Y K,ZHOU L,YAN B Y,WU D H,XU X R.Hyperspectral remote sensing monitoring of grassland degradation.Spectroscopy and Spectral Analysis,2010,30(10):2734-2738.
[3]张芳,熊黑钢,努尔巴依·阿布都沙力克,栾福明.新疆天山北坡常见盐生植物端元尺度光谱特征及识别.光谱学与光谱分析,2011,31(12):3336-3341.ZHANG F,XIONG H G,Nurbay·Abdusalih,LUAN F M.Response characteristics of the field-measured spectrum for the four general types of halophyte and species recognition in the Northern Slope Area of Tianshan Mountain in Xinjiang.Spectroscopy and Spectral Analysis,2011,31(12):3336-3341.
[4]钟诚,何晓蓉,李辉霞.遥感技术在西藏那曲地区草地退化评价中的应用.遥感技术与应用,2003(2):99-102.ZHONG C,HE X R,LI H X.Application of remote sensing technology to grassland degradation assessment in Naqu,Tibet.Remote Sensing Technology and Application,2003(2):99-102.
[5]除多,德吉央宗,普布次仁,姬秋梅,唐红.藏北草地地上生物量及遥感监测模型研究.自然资源学报,2013,28(11):2000-2011.CHU D,Ddjiyangzong,Pubuciren,JI Q M,TANG H.Aboveground biomass in the North Tibet and estimate model using remote sensing data.Journal of Natural Resource,2013,28(11):2000-2011.
[6]牛志春,倪绍祥.青海湖环湖地区草地植被生物量遥感监测模型.地理学报,2003,58(5):695-702.NIU Z C,NI S X.Study on models for monitoring of grassland biomass around Qinghai Lake assisted by remote sensing.Acta Geographica Sinica,2003,58(5):695-702.
[7]MUTANGA O,SKIDMORE A K.Hyperspectral band depth analysis for a better estimation of grass biomass(Cenchrus ciliaris)measured under controlled laboratory conditions.International Journal of Applied Earth Observation and Geoinformation,2004,5(2):87-96.
[8]付彦博,范燕敏,盛建东,武红旗,李宁,朱高飞,刘焕鲜,龚双凤.紫花苜蓿植株含氮量的高光谱估测技术研究.草地学报,2013,21(5):902-905,920.FU Y B,FAN Y M,SHENG J D,WU H Q,LI N,ZHU G F,LIU H X,GONG S F.Hyperspectral estimation technique of plant nitrogen content of alfalfa.Acta Agrestia Sinica,2013,21(5):902-905,920.
[9]付彦博,范燕敏,盛建东,李宁,武红旗,李美婷,李丽,赵云.紫花苜蓿冠层反射光谱与叶片含水率关系研究.光谱学与光谱分析,2013,33(3):766-769.FU Y B,FAN Y M,SHENG J D,LI N,WU H Q,LI M T,LI L,ZHAO Y.Study on relationship between alfalfa canopy spectral reflectance and leaf water content.Spectroscopy and Spectral Analysis,2013,33(3):766-769.
[10]PELLISSIER P A,OLLINGER S V,LEPINE L C,PALACE M W,MCDOWELL W H.Remote sensing of foliar nitrogen in cultivated grasslands of human dominated landscapes.Remote Sensing of Environment,2015,167(15):88-97.
[11]WEISER R L,ASRAR G,MILLER G P,KANEMASU E T.Assessing grassland biophysical characteristics from spectral measurements.Remote Sensing of Environment,1986,20(2):141-152.
[12]ZHANG Y,CHEN J M,MILLER J R,NOLAND T L.Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery.Remote Sensing of Environment,2008,112(7):3234-3247.
[13]LIANG L,DI L P,ZHANG L P,DENG M X,QIN Z H,ZHAO S H,LIN H.Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method.Remote Sensing of Environment,2015,165:123-134.
[14]TONG A,HE Y.Remote sensing of grassland chlorophyll content:Assessing the spatial-temporal performance of spectral indices.//Geoscience and Remote Sensing Symposium(IGARSS),2014 IEEE International.IEEE,2014:2846-2849.
[15]ZOMER R J,TRABUCCO A,USTIN S L.Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing.Journal of Environmental Management,2009,90(7):2170-2177.
[16]梁尧钦,曾辉.高光谱遥感在植被特征识别研究中的应用.世界林业研究,2009,22(1):41-47.LIANG Y Q,ZENG H.Application of hyperspectral remote sensing in identification of vegetation characteristics.World Forestry Research,2009,22(1):41-47.
[17]夏小伟,靳瑰丽,安沙舟,范燕敏,梁娜.围栏封育下伊犁绢蒿荒漠草地特征植物高光谱特征变化分析.草业科学,2015,32(6):870-876.XIA X W,JIN G L,AN S Z,FAN Y M,LIANG N.Spectral characteristics of typical plants in Seriphidium transiliense desert grassland under enclosure.Pratacultural Science,2015,32(6):870-876.
[18]周扬帆,陈佑启,何英彬.基于高光谱曲线的马铃薯与其他主要作物光谱差异性分析.中国农业资源与区划,2017,38(11):10-16,129.ZHOU Y F,CHEN Y Q,HE Y B.Analysis of difference between potato and other staple crops based on hyperspectral curve.Chinese Journal of Agricultural Resources and Regional Planning,2017,38(11):10-16,129.
[19]杨凯,沈渭寿,刘波,欧阳琰.那曲典型草地植被光谱特征分析.遥感技术与应用,2014,29(1):40-45.YANG K,SHEN W S,LIU B,OUYANG Y.Research on spectral reflectance characteristics for Naqu typical grassland.Remote Sensing Technology and Applocantion,2014,29(1):40-45.
[20]林川,宫兆宁,赵文吉,樊磊.基于光谱特征变量的湿地典型植物生态类型识别方法:以北京野鸭湖湿地为例.生态学报,2013,33(4):1172-1185.LIN C,GONG Z N,ZHAO W J,FAN L.Identifying typical plant ecological types based on spectral characteristic variables:A case study in Wild Duck Lakewetland,Beijing.Acta Ecologica Sinica,2013,33(4):1172-1185.
[21]魏秀红,靳瑰丽,范燕敏,安沙舟,夏小伟.伊犁绢蒿荒漠草地物种光谱特征分析及识别初探.草业科学,2016,33(10):1924-1932.WEI X H,JIN G L,FAN Y M,AN S Z,XIA X W.Species analysis and identification of spectral characteristics on Seriphidium transiliense desert grassland.Pratacultural Science,2016,33(10):1924-1932.
[22]靳瑰丽.伊犁绢蒿荒漠退化草地植物生态适应对策的研究.乌鲁木齐:新疆农业大学博士学位论文,2009.JIN G L.Study on the plant ecological adaptation strategy of degraded Seriphidium transiliense desert grassland.PhD Thesis.Urumqi:Xinjiang Agricultural University,2009.
[23]刘长娥,许鹏,安沙舟.土质温性荒漠草地植物生育节律分析.新疆农业科学,2006,43(1):11-15.LIU C E,XU P,AN S Z.Analysis on plant developmental rhythm on desert grassland with warm soil properties.Xinjiang Agricultural Sciences,2006,43(1):11-15.
[24]钱育蓉,于炯,贾振红,杨峰,帕力旦·吐尔逊.新疆典型荒漠草地的高光谱特征提取和分析研究.草业学报,2013,22(1):157-166.QIAN Y R,YU J,JIA Z H,YANG F,Tuerxun·Palidan.Extraction and analysis of hyper-spectral data from typical desert grassland in Xinjiang.Acta Prataculturae Sinica,2013,22(1):157-166.
[25]付元元,王纪华,杨贵军,宋晓宇,徐新刚,冯海宽.应用波段深度分析和偏最小二乘回归的冬小麦生物量高光谱估算.光谱学与光谱分析,2013,34(5):1315-1319.FU Y Y,WANG J H,YANG G J,SONG X Y,XU X G,FENG H K.Band depth analysis and partial least square regression based winter wheat biomass estimation using hyperspectral measurements.Spectroscopy and Spectral Analysis,2013,34(5):1315-1319.
[26]刘波,沈渭寿,李儒,杨兆平,林乃峰.雅鲁藏布江源区高寒草地退化光谱响应变化研究.光谱学与光谱分析,2013,33(6):1598-1602.LIU B,SHEN W S,LI R,YANG Z P,LIN N F.Spectral characteristics of alpine grassland during degradation process in the source region of Yanrlung Zangbo.Spectroscopy and Spectral Analysis,2013,33(6):1598-1602.
[27]姜海玲,杨杭,陈小平,王树东,李雪珂,刘凯,岑奕.利用光谱指数反演植被叶绿素含量的精度及稳定性研究.光谱学与光谱分析,2015,35(4):975-981.JIANG H L,YANG H,CHEN X P,WANG S D,LI X K,LIU K,CEN Y.Research on accuracy and stability of inversing vegetation chlorophyll content by spectral index method.Spectroscopy and Spectral Analysis,2015,35(4):975-981.
[28]吕利利.基于光谱微分法的荒漠稀疏植被提取及变化分析:以疏勒河流域走廊平原地区为例.兰州:兰州大学硕士学位论文,2018.LYU L L.Sparse vegetation extraction and change analysis based on spectral differentiation:An example in the Shule River Basin plain.Master Thesis.Lanzhou:Lanzhou University,2018.
[29]王志辉,丁丽霞.基于叶片高光谱特性分析的树种识别.光谱学与光谱分析,2010,30(7):1825-1829.WANG Z H,DING L X.Tree species discrimination based on leaf-level hyperspectral characteristic analysis.Spectroscopy and Spectral Analysis,2010,30(7):1825-1829.
[30]钱育蓉,贾振红,于炯,杨峰,段文亮.BP-ANN在荒漠草地高光谱分类研究中的应用.计算机工程与应用,2011,47(12):225-228.QIAN Y R,JIA Z H,YU J,YANG F,DUAN W L.Application of BP-ANN to classification of hyperspectral grassland in desert.Computer Engineering and Applications,2011,47(12):225-228.
[2]王焕炯,范闻捷,崔要奎,周磊,闫彬彦,吴代晖,徐希孺.草地退化的高光谱遥感监测方法.光谱学与光谱分析,2010,30(10):2734-2738.WANG H J,FAN W J,CUI Y K,ZHOU L,YAN B Y,WU D H,XU X R.Hyperspectral remote sensing monitoring of grassland degradation.Spectroscopy and Spectral Analysis,2010,30(10):2734-2738.
[3]张芳,熊黑钢,努尔巴依·阿布都沙力克,栾福明.新疆天山北坡常见盐生植物端元尺度光谱特征及识别.光谱学与光谱分析,2011,31(12):3336-3341.ZHANG F,XIONG H G,Nurbay·Abdusalih,LUAN F M.Response characteristics of the field-measured spectrum for the four general types of halophyte and species recognition in the Northern Slope Area of Tianshan Mountain in Xinjiang.Spectroscopy and Spectral Analysis,2011,31(12):3336-3341.
[4]钟诚,何晓蓉,李辉霞.遥感技术在西藏那曲地区草地退化评价中的应用.遥感技术与应用,2003(2):99-102.ZHONG C,HE X R,LI H X.Application of remote sensing technology to grassland degradation assessment in Naqu,Tibet.Remote Sensing Technology and Application,2003(2):99-102.
[5]除多,德吉央宗,普布次仁,姬秋梅,唐红.藏北草地地上生物量及遥感监测模型研究.自然资源学报,2013,28(11):2000-2011.CHU D,Ddjiyangzong,Pubuciren,JI Q M,TANG H.Aboveground biomass in the North Tibet and estimate model using remote sensing data.Journal of Natural Resource,2013,28(11):2000-2011.
[6]牛志春,倪绍祥.青海湖环湖地区草地植被生物量遥感监测模型.地理学报,2003,58(5):695-702.NIU Z C,NI S X.Study on models for monitoring of grassland biomass around Qinghai Lake assisted by remote sensing.Acta Geographica Sinica,2003,58(5):695-702.
[7]MUTANGA O,SKIDMORE A K.Hyperspectral band depth analysis for a better estimation of grass biomass(Cenchrus ciliaris)measured under controlled laboratory conditions.International Journal of Applied Earth Observation and Geoinformation,2004,5(2):87-96.
[8]付彦博,范燕敏,盛建东,武红旗,李宁,朱高飞,刘焕鲜,龚双凤.紫花苜蓿植株含氮量的高光谱估测技术研究.草地学报,2013,21(5):902-905,920.FU Y B,FAN Y M,SHENG J D,WU H Q,LI N,ZHU G F,LIU H X,GONG S F.Hyperspectral estimation technique of plant nitrogen content of alfalfa.Acta Agrestia Sinica,2013,21(5):902-905,920.
[9]付彦博,范燕敏,盛建东,李宁,武红旗,李美婷,李丽,赵云.紫花苜蓿冠层反射光谱与叶片含水率关系研究.光谱学与光谱分析,2013,33(3):766-769.FU Y B,FAN Y M,SHENG J D,LI N,WU H Q,LI M T,LI L,ZHAO Y.Study on relationship between alfalfa canopy spectral reflectance and leaf water content.Spectroscopy and Spectral Analysis,2013,33(3):766-769.
[10]PELLISSIER P A,OLLINGER S V,LEPINE L C,PALACE M W,MCDOWELL W H.Remote sensing of foliar nitrogen in cultivated grasslands of human dominated landscapes.Remote Sensing of Environment,2015,167(15):88-97.
[11]WEISER R L,ASRAR G,MILLER G P,KANEMASU E T.Assessing grassland biophysical characteristics from spectral measurements.Remote Sensing of Environment,1986,20(2):141-152.
[12]ZHANG Y,CHEN J M,MILLER J R,NOLAND T L.Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery.Remote Sensing of Environment,2008,112(7):3234-3247.
[13]LIANG L,DI L P,ZHANG L P,DENG M X,QIN Z H,ZHAO S H,LIN H.Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method.Remote Sensing of Environment,2015,165:123-134.
[14]TONG A,HE Y.Remote sensing of grassland chlorophyll content:Assessing the spatial-temporal performance of spectral indices.//Geoscience and Remote Sensing Symposium(IGARSS),2014 IEEE International.IEEE,2014:2846-2849.
[15]ZOMER R J,TRABUCCO A,USTIN S L.Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing.Journal of Environmental Management,2009,90(7):2170-2177.
[16]梁尧钦,曾辉.高光谱遥感在植被特征识别研究中的应用.世界林业研究,2009,22(1):41-47.LIANG Y Q,ZENG H.Application of hyperspectral remote sensing in identification of vegetation characteristics.World Forestry Research,2009,22(1):41-47.
[17]夏小伟,靳瑰丽,安沙舟,范燕敏,梁娜.围栏封育下伊犁绢蒿荒漠草地特征植物高光谱特征变化分析.草业科学,2015,32(6):870-876.XIA X W,JIN G L,AN S Z,FAN Y M,LIANG N.Spectral characteristics of typical plants in Seriphidium transiliense desert grassland under enclosure.Pratacultural Science,2015,32(6):870-876.
[18]周扬帆,陈佑启,何英彬.基于高光谱曲线的马铃薯与其他主要作物光谱差异性分析.中国农业资源与区划,2017,38(11):10-16,129.ZHOU Y F,CHEN Y Q,HE Y B.Analysis of difference between potato and other staple crops based on hyperspectral curve.Chinese Journal of Agricultural Resources and Regional Planning,2017,38(11):10-16,129.
[19]杨凯,沈渭寿,刘波,欧阳琰.那曲典型草地植被光谱特征分析.遥感技术与应用,2014,29(1):40-45.YANG K,SHEN W S,LIU B,OUYANG Y.Research on spectral reflectance characteristics for Naqu typical grassland.Remote Sensing Technology and Applocantion,2014,29(1):40-45.
[20]林川,宫兆宁,赵文吉,樊磊.基于光谱特征变量的湿地典型植物生态类型识别方法:以北京野鸭湖湿地为例.生态学报,2013,33(4):1172-1185.LIN C,GONG Z N,ZHAO W J,FAN L.Identifying typical plant ecological types based on spectral characteristic variables:A case study in Wild Duck Lakewetland,Beijing.Acta Ecologica Sinica,2013,33(4):1172-1185.
[21]魏秀红,靳瑰丽,范燕敏,安沙舟,夏小伟.伊犁绢蒿荒漠草地物种光谱特征分析及识别初探.草业科学,2016,33(10):1924-1932.WEI X H,JIN G L,FAN Y M,AN S Z,XIA X W.Species analysis and identification of spectral characteristics on Seriphidium transiliense desert grassland.Pratacultural Science,2016,33(10):1924-1932.
[22]靳瑰丽.伊犁绢蒿荒漠退化草地植物生态适应对策的研究.乌鲁木齐:新疆农业大学博士学位论文,2009.JIN G L.Study on the plant ecological adaptation strategy of degraded Seriphidium transiliense desert grassland.PhD Thesis.Urumqi:Xinjiang Agricultural University,2009.
[23]刘长娥,许鹏,安沙舟.土质温性荒漠草地植物生育节律分析.新疆农业科学,2006,43(1):11-15.LIU C E,XU P,AN S Z.Analysis on plant developmental rhythm on desert grassland with warm soil properties.Xinjiang Agricultural Sciences,2006,43(1):11-15.
[24]钱育蓉,于炯,贾振红,杨峰,帕力旦·吐尔逊.新疆典型荒漠草地的高光谱特征提取和分析研究.草业学报,2013,22(1):157-166.QIAN Y R,YU J,JIA Z H,YANG F,Tuerxun·Palidan.Extraction and analysis of hyper-spectral data from typical desert grassland in Xinjiang.Acta Prataculturae Sinica,2013,22(1):157-166.
[25]付元元,王纪华,杨贵军,宋晓宇,徐新刚,冯海宽.应用波段深度分析和偏最小二乘回归的冬小麦生物量高光谱估算.光谱学与光谱分析,2013,34(5):1315-1319.FU Y Y,WANG J H,YANG G J,SONG X Y,XU X G,FENG H K.Band depth analysis and partial least square regression based winter wheat biomass estimation using hyperspectral measurements.Spectroscopy and Spectral Analysis,2013,34(5):1315-1319.
[26]刘波,沈渭寿,李儒,杨兆平,林乃峰.雅鲁藏布江源区高寒草地退化光谱响应变化研究.光谱学与光谱分析,2013,33(6):1598-1602.LIU B,SHEN W S,LI R,YANG Z P,LIN N F.Spectral characteristics of alpine grassland during degradation process in the source region of Yanrlung Zangbo.Spectroscopy and Spectral Analysis,2013,33(6):1598-1602.
[27]姜海玲,杨杭,陈小平,王树东,李雪珂,刘凯,岑奕.利用光谱指数反演植被叶绿素含量的精度及稳定性研究.光谱学与光谱分析,2015,35(4):975-981.JIANG H L,YANG H,CHEN X P,WANG S D,LI X K,LIU K,CEN Y.Research on accuracy and stability of inversing vegetation chlorophyll content by spectral index method.Spectroscopy and Spectral Analysis,2015,35(4):975-981.
[28]吕利利.基于光谱微分法的荒漠稀疏植被提取及变化分析:以疏勒河流域走廊平原地区为例.兰州:兰州大学硕士学位论文,2018.LYU L L.Sparse vegetation extraction and change analysis based on spectral differentiation:An example in the Shule River Basin plain.Master Thesis.Lanzhou:Lanzhou University,2018.
[29]王志辉,丁丽霞.基于叶片高光谱特性分析的树种识别.光谱学与光谱分析,2010,30(7):1825-1829.WANG Z H,DING L X.Tree species discrimination based on leaf-level hyperspectral characteristic analysis.Spectroscopy and Spectral Analysis,2010,30(7):1825-1829.
[30]钱育蓉,贾振红,于炯,杨峰,段文亮.BP-ANN在荒漠草地高光谱分类研究中的应用.计算机工程与应用,2011,47(12):225-228.QIAN Y R,JIA Z H,YU J,YANG F,DUAN W L.Application of BP-ANN to classification of hyperspectral grassland in desert.Computer Engineering and Applications,2011,47(12):225-228.