博尔塔拉蒙古自治州植被覆盖度估算
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摘要
针对传统植被覆盖度估算方法只能估算高密度覆盖的绿色光合植被的问题,该文提出了一种可进行绿色光合植被、非绿色光合植被和裸地覆盖度估算的方法,选取博尔塔拉蒙古自治州2010年和2016年的Landsat TM/OLI影像,通过构建NDVI-DFI特征空间提取端元特征值,运用像元三分模型估算,并与像元二分模型估算结果和实地采样估算结果对比。结果表明:像元三分模型估算与实际情况相符,且精度较好。2016年博州地区植被覆盖度较2010年增长显著,生态环境得到明显改善。像元三分模型能够较好地估算光合/非光合植被覆盖度,提高遥感获取植被信息的能力,为科学评估生态环境质量提供参考。
Aiming at the problem with the traditional vegetation coverage method that can only estimate high-density coverage of green photosynthetic vegetation,in this paper,an effective method is proposed,which can estimate the cover of photosynthetic vegetation,non-photosynthetic vegetation and bare land.Selecting the Landsat TM/OLI remote sensing data of the Bortala Mongolia Autonomous Prefecture(BMAP)in 2010 and 2016,constructing NDVI-DFI feature space to extract endmember eigenvalues,fPV was estimated by NDVI-DFI model,and a comparison with the estimation results of pixel two model and field sampling was performed.The results showed that the estimation of fPVby NDVI-DFI model was consistent with the actual situation,and had an acceptable accuracy.The vegetation coverage in Bozhou area in 2016 increased more significantly than that of in 2010.The ecological environment had been significantly improved.NDVI-DFI model could estimate the degree of photosynthesis/non photosynthetic vegetation coverage,and enhance the ability of remote sensing to obtain vegetation information,so as to provide theoretical reference for scientific assessment of eco-environmental quality.
Aiming at the problem with the traditional vegetation coverage method that can only estimate high-density coverage of green photosynthetic vegetation,in this paper,an effective method is proposed,which can estimate the cover of photosynthetic vegetation,non-photosynthetic vegetation and bare land.Selecting the Landsat TM/OLI remote sensing data of the Bortala Mongolia Autonomous Prefecture(BMAP)in 2010 and 2016,constructing NDVI-DFI feature space to extract endmember eigenvalues,fPV was estimated by NDVI-DFI model,and a comparison with the estimation results of pixel two model and field sampling was performed.The results showed that the estimation of fPVby NDVI-DFI model was consistent with the actual situation,and had an acceptable accuracy.The vegetation coverage in Bozhou area in 2016 increased more significantly than that of in 2010.The ecological environment had been significantly improved.NDVI-DFI model could estimate the degree of photosynthesis/non photosynthetic vegetation coverage,and enhance the ability of remote sensing to obtain vegetation information,so as to provide theoretical reference for scientific assessment of eco-environmental quality.
引文
[1]李秀瑞,孙林,朱金山,等.多尺度遥感数据协同的干旱地区植被覆盖度提取[J].生态学杂志,2016,35(5):1394-1402.(LI Xiurui,SUN Lin,ZHU Jinshan,et al.Extraction of vegetation coverage in arid regions using multi-scale remote sensing data synergistically[J].Chinese Journal of Ecology,2016,35(5):1394-1402.)
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[4]陈爱京,傅玮东,肖继东,等.基于像元二分模型的和布克赛尔县植被覆盖动态变化分析[J].草业科学,2012,29(6):858-862.(CHEN Aijing,FU Weidong,XIAOJidong,et al.Dynamic analysis for vegetation coverage change in Hoboksar based on dimidiate pixel model[J].Pratacultural Science,2012,29(6):858-862.)
[5]郑国雄,李晓松,张凯选,等.浑善达克沙地光合/非光合植被及裸土光谱混合机理分析[J].光谱学与光谱分析,2016,36(4):1063-1068.(ZHEN Guoxiong.LIXiaosong,ZHANG Kaixuan,et al.Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bare soil mixture in the Hunshandake(Otindag)Sandy land[J].Spectroscopy and Spectral Analysis,2016,36(4):1063-1068.)
[6]李涛,李晓松,李飞.基于Hyperion的锡林郭勒草原光合植被、非光合植被覆盖度估算[J].生态学报,2015,35(11):3643-3652.(LI Tao,LI Xiaosong,LI Fei.Estimating fractional cover of photosynthetic vegetation and non-photosynthetic vegetation in the Xilingol steppe region with EO-1 hyperion data[J].Acta Ecologica Sinica,2015,35(11):3643-3652.)
[7]GUERSCHMAN J P,SCARTH P F,MCVICAR T R,et al.Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation,non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data[J].Remote Sensing of Environment,2015,161:12-26.
[8]GUERSHMAN J P,HILL M J,RENZULLO L J,et al.Estimating fractional cover of photosynthetic vegetation,non-photosynthetic vegetation and bare soil in the Australian tropical savanna region up scaling the EO-1 Hyperion and MODIS sensors[J].Remote Sensing of Environment,2009,113(5):928-945.
[9]王光镇,王静璞,邹学勇,等.基于像元三分模型的锡林郭勒草原光合植被和非光合植被覆盖度估算[J].生态学报,2017,37(17):5723-5731.(WANG Guangzhen,WANGJingpu,ZOU Xueyong,et al.Estimation of fractional cover of photosynthetic and non-photosynthetic vegetation in the Xilingol steppe region using the NDVI-DFI model[J].Acta Ecologica Sinica,2017,37(17):5723-5731.)
[10]DAUGHTRY C S T,HUNT E R,DARAISWAMY PC J,et al.Remote sensing the spatial distribution of crop residues[J].Agronomy Journal,2005,97:864-871.
[11]NAGLER P L,INOUE Y,GLENN E P,et al.Cellulose absorption index(CAI)to quantify mixed soil-plant litter scenes[J].Remote Sensing of Environment,2003,87:310-325.
[12]姚国慧,陈冬花,杨芳,等.植被覆盖度时空变化遥感监测:以博尔塔拉蒙古自治州为例[J].遥感信息,2015,30(5):116-122.(YAO Guohui,CHEN Donghua,YANG Fang,et al.Vegetation cover change monitoring in time and space by remote sensing:taking boertala mongolian autonmy prefecture as an example[J].Remote Sensing Information,2015,30(5):116-122.)
[13]章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408.(ZHANG Wenbo,FU Suhua,LIUBaoyuan.Error assessment of visual estion plant coverage[J].Journal of Beijing Normal University(Natural Science),2001,37(3):402-408.)
[14]章文波,刘宝元,吴敬东.小区植被覆盖度动态快速测量方法研究[J].水土保持通报,2001,21(6):60-63.(ZHANG Wenbo,LIU Baoyuan,WU Jingdong.Monitoring of plant coverage of plots by visual estimation and overhead photograph[J].Bulletin of Soil and Water Conservation,2001,21(6):60-63.)
[15]CAO X,CHEN J,MATSUSHITA B,et al.Developing a MODIS-based index to discriminate dead fuel from photosynthetic vegetatio and soil background in the Asian steppe area[J].International Journal of Remote Sensing.2010,31(6):1589-1604.
[16]张云飞,岳彩荣,马明.基于分类结果的多光谱遥感影像端元提取方法[J].科技视界,2014(5):47-48.(ZHANG Yunfei,YUN Cairong,MA Ming.Endmember extraction from multispectral remote sensing images based on classification results[J].Science&Technology Vision,2014(5):47-48.)
[17]THORP K R,FRENCH A N,RANGO A.Effect of image spatial and spectral characteristics on mapping semi-arid rangel and vegetation using multiple endmember spectral mixture analysis(MESMA)[J].Remote Sensing of Environment,2013(132):120-130.
[18]蔡体久,琚存勇,姚月峰.基于RS和GIS的毛乌素沙地植被覆盖度定量估测[J].应用生态学报,2005,16(12):2301-2305.(CAI Tijiu,JU Cunyong,YAO Yuefeng.Quantitative estimation of vegetation coverage in Mu Us sandy land based on RS and GIS[J].Chinese Journal of Applied Ecology,2005,16(12):2301-2305.)
[19]崔耀平,刘彤,赵志平,等.干旱荒漠区植被覆盖变化的遥感监测分析[J].地理信息科学学报,2011,13(3):305-312.(CUI Yaoping,LIU Tong,ZHAO Zhiping,et al.Using multi-spectral remote sensing data to extract and analyze the vegetation change of the Western Gurbantunggut Desert[J].Geo-Information Science,2011,13(3):305-312.)
[20]黄晨,张运,张立伟.基于不同降维方法的PPI端元提取效果对比研究[J].安徽农学通报,2017,23(1):13-17,75.(HUANG Chen,ZHANG Yun,ZHANG Liwei.Comparative study on the effect of PPI based on different method of dimension reduction[J].Anhui Agri.Sci.Bull.2017,23(1):13-17,75.)
[21]周金霖,马明国,肖青,等.西南地区植被覆盖动态及其与气候因子的关系[J].遥感技术与应用,2017,32(5):966-972.(ZHOU Jinlin,MA Mingguo,XIAO Qing,et al.Vegetation cover dynamics in southwestern China and its relationship with climate factors[J].Remote Sensing Technology and Application,2017,32(5):966-972.)
[22]马煜.2016年6月博州一次暴雨天气过程分析[J].海峡科技与产业,2017(6):157-159.(MA Yu.Analysis of a rainstorm process on June 2016in Bozhou[J].The Strait Science technology and Industry,2017(6):157-159.)
[23]马煜.2015年7月新疆博州极端高温天气成因分析[J].河南农业,2017(11):41-42.(MA Yu.Analysis of causes of extreme high temperature weather July 2015in Xinjiang Bozhou[J].Henan of Agriculture,2017(11):41-42)
[2]何宝忠,丁建丽,张喆,等.新疆植被覆盖度趋势演变实验性分析[J].地理学报,2016,71(11):1949-1966.(HE Baozhong,DING Jianli,ZHANG Zhe,et al.Experimental analysis of spatial and temporal dynamics of fractional vegetation cover in Xinjiang[J].Acta Geographica Sinica,2016,71(11):1949-1966.)
[3]夏楠,塔西甫拉提·特依拜,依力亚斯江·努尔麦麦提,等.新疆准噶尔东部荒漠区植被覆盖度遥感监测与评估[J].环境科学与技术,2017,40(1):167-173.(XIANan,TASHPOLAT Tiyip,ILYAS Nurmeme,et al.Remote sensing monitoring for assessing vegetation coverage in east Juggar Desert of Xinjiang[J].Environmental Science&Technology,2017,40(1):167-173.)
[4]陈爱京,傅玮东,肖继东,等.基于像元二分模型的和布克赛尔县植被覆盖动态变化分析[J].草业科学,2012,29(6):858-862.(CHEN Aijing,FU Weidong,XIAOJidong,et al.Dynamic analysis for vegetation coverage change in Hoboksar based on dimidiate pixel model[J].Pratacultural Science,2012,29(6):858-862.)
[5]郑国雄,李晓松,张凯选,等.浑善达克沙地光合/非光合植被及裸土光谱混合机理分析[J].光谱学与光谱分析,2016,36(4):1063-1068.(ZHEN Guoxiong.LIXiaosong,ZHANG Kaixuan,et al.Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bare soil mixture in the Hunshandake(Otindag)Sandy land[J].Spectroscopy and Spectral Analysis,2016,36(4):1063-1068.)
[6]李涛,李晓松,李飞.基于Hyperion的锡林郭勒草原光合植被、非光合植被覆盖度估算[J].生态学报,2015,35(11):3643-3652.(LI Tao,LI Xiaosong,LI Fei.Estimating fractional cover of photosynthetic vegetation and non-photosynthetic vegetation in the Xilingol steppe region with EO-1 hyperion data[J].Acta Ecologica Sinica,2015,35(11):3643-3652.)
[7]GUERSCHMAN J P,SCARTH P F,MCVICAR T R,et al.Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation,non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data[J].Remote Sensing of Environment,2015,161:12-26.
[8]GUERSHMAN J P,HILL M J,RENZULLO L J,et al.Estimating fractional cover of photosynthetic vegetation,non-photosynthetic vegetation and bare soil in the Australian tropical savanna region up scaling the EO-1 Hyperion and MODIS sensors[J].Remote Sensing of Environment,2009,113(5):928-945.
[9]王光镇,王静璞,邹学勇,等.基于像元三分模型的锡林郭勒草原光合植被和非光合植被覆盖度估算[J].生态学报,2017,37(17):5723-5731.(WANG Guangzhen,WANGJingpu,ZOU Xueyong,et al.Estimation of fractional cover of photosynthetic and non-photosynthetic vegetation in the Xilingol steppe region using the NDVI-DFI model[J].Acta Ecologica Sinica,2017,37(17):5723-5731.)
[10]DAUGHTRY C S T,HUNT E R,DARAISWAMY PC J,et al.Remote sensing the spatial distribution of crop residues[J].Agronomy Journal,2005,97:864-871.
[11]NAGLER P L,INOUE Y,GLENN E P,et al.Cellulose absorption index(CAI)to quantify mixed soil-plant litter scenes[J].Remote Sensing of Environment,2003,87:310-325.
[12]姚国慧,陈冬花,杨芳,等.植被覆盖度时空变化遥感监测:以博尔塔拉蒙古自治州为例[J].遥感信息,2015,30(5):116-122.(YAO Guohui,CHEN Donghua,YANG Fang,et al.Vegetation cover change monitoring in time and space by remote sensing:taking boertala mongolian autonmy prefecture as an example[J].Remote Sensing Information,2015,30(5):116-122.)
[13]章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408.(ZHANG Wenbo,FU Suhua,LIUBaoyuan.Error assessment of visual estion plant coverage[J].Journal of Beijing Normal University(Natural Science),2001,37(3):402-408.)
[14]章文波,刘宝元,吴敬东.小区植被覆盖度动态快速测量方法研究[J].水土保持通报,2001,21(6):60-63.(ZHANG Wenbo,LIU Baoyuan,WU Jingdong.Monitoring of plant coverage of plots by visual estimation and overhead photograph[J].Bulletin of Soil and Water Conservation,2001,21(6):60-63.)
[15]CAO X,CHEN J,MATSUSHITA B,et al.Developing a MODIS-based index to discriminate dead fuel from photosynthetic vegetatio and soil background in the Asian steppe area[J].International Journal of Remote Sensing.2010,31(6):1589-1604.
[16]张云飞,岳彩荣,马明.基于分类结果的多光谱遥感影像端元提取方法[J].科技视界,2014(5):47-48.(ZHANG Yunfei,YUN Cairong,MA Ming.Endmember extraction from multispectral remote sensing images based on classification results[J].Science&Technology Vision,2014(5):47-48.)
[17]THORP K R,FRENCH A N,RANGO A.Effect of image spatial and spectral characteristics on mapping semi-arid rangel and vegetation using multiple endmember spectral mixture analysis(MESMA)[J].Remote Sensing of Environment,2013(132):120-130.
[18]蔡体久,琚存勇,姚月峰.基于RS和GIS的毛乌素沙地植被覆盖度定量估测[J].应用生态学报,2005,16(12):2301-2305.(CAI Tijiu,JU Cunyong,YAO Yuefeng.Quantitative estimation of vegetation coverage in Mu Us sandy land based on RS and GIS[J].Chinese Journal of Applied Ecology,2005,16(12):2301-2305.)
[19]崔耀平,刘彤,赵志平,等.干旱荒漠区植被覆盖变化的遥感监测分析[J].地理信息科学学报,2011,13(3):305-312.(CUI Yaoping,LIU Tong,ZHAO Zhiping,et al.Using multi-spectral remote sensing data to extract and analyze the vegetation change of the Western Gurbantunggut Desert[J].Geo-Information Science,2011,13(3):305-312.)
[20]黄晨,张运,张立伟.基于不同降维方法的PPI端元提取效果对比研究[J].安徽农学通报,2017,23(1):13-17,75.(HUANG Chen,ZHANG Yun,ZHANG Liwei.Comparative study on the effect of PPI based on different method of dimension reduction[J].Anhui Agri.Sci.Bull.2017,23(1):13-17,75.)
[21]周金霖,马明国,肖青,等.西南地区植被覆盖动态及其与气候因子的关系[J].遥感技术与应用,2017,32(5):966-972.(ZHOU Jinlin,MA Mingguo,XIAO Qing,et al.Vegetation cover dynamics in southwestern China and its relationship with climate factors[J].Remote Sensing Technology and Application,2017,32(5):966-972.)
[22]马煜.2016年6月博州一次暴雨天气过程分析[J].海峡科技与产业,2017(6):157-159.(MA Yu.Analysis of a rainstorm process on June 2016in Bozhou[J].The Strait Science technology and Industry,2017(6):157-159.)
[23]马煜.2015年7月新疆博州极端高温天气成因分析[J].河南农业,2017(11):41-42.(MA Yu.Analysis of causes of extreme high temperature weather July 2015in Xinjiang Bozhou[J].Henan of Agriculture,2017(11):41-42)