TanDEM-X极化干涉SAR森林冠层高度反演
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摘要
森林树高是反映森林蓄积量、生物量、碳储量和立地质量的关键指标。极化干涉SAR技术是森林树高估测的有效手段之一,但数据获取及数据质量一直是极化干涉SAR树高反演研究的主要制约因素。以云南省勐腊县为实验区,基于德国DLR提供的双站模式Tan DEM-X Co SSC全极化干涉数据,采用三阶段算法、以及两种结合极化干涉优化的相位差分-相干幅度法反演了实验区的森林冠层高度。结果表明:三阶段算法的反演结果数值相对合理,与二类调查数据的空间分布格局相似;相位差分-相干幅度法的反演结果在林区出现部分负值,而在非林区却反演出冠层高度、且呈现条纹状,反演结果与二类调查数据的空间分布差异较大、相关性低。因此,三阶段算法结合双站模式的Tan DEM-X全极化干涉数据,能够在实际树高估测反演中发挥作用,为辅助森林资源调查工作提供了新手段。
By using the bistatic Tan DEM-X polarimetric and interferometric Co SSC data from German DLR,we used Three-Stage algorithm and Phase Difference-Coherence Amplitude algorithm with two different strategies to retrieve the canopy height of the forest in Mangle of Yunnan Province. The canopy height retrieved by Three-Stage algorithm has reasonable values and similar spatial distribution to the forest inventory data. The two different strategies of Phase Difference-Coherence Amplitude algorithm had produced some negative height in forest area and positive canopy height in non-forest area with apparent fringe,and their estimations were badly correlated to the inventory data. Therefore,the bistatic Tan DEM-X polarimetric and interferometric Co SSC data combining with Three-Stage algorithm could play a role in the practical measurement of forest canopy height.
By using the bistatic Tan DEM-X polarimetric and interferometric Co SSC data from German DLR,we used Three-Stage algorithm and Phase Difference-Coherence Amplitude algorithm with two different strategies to retrieve the canopy height of the forest in Mangle of Yunnan Province. The canopy height retrieved by Three-Stage algorithm has reasonable values and similar spatial distribution to the forest inventory data. The two different strategies of Phase Difference-Coherence Amplitude algorithm had produced some negative height in forest area and positive canopy height in non-forest area with apparent fringe,and their estimations were badly correlated to the inventory data. Therefore,the bistatic Tan DEM-X polarimetric and interferometric Co SSC data combining with Three-Stage algorithm could play a role in the practical measurement of forest canopy height.
引文
[1]CLOUDE S R,PAPATHANASSIOU K P.Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(5):1551-1565.
[2]陈尔学,李增元,庞勇,等.基于极化合成孔径雷达干涉测量的平均树高提取技术[J].林业科学.2007,43(4):66-70.
[3]罗环敏.基于极化干涉SAR的森林结构信息提取模型与方法[D].成都:电子科技大学,2011.
[4]李帆,尚玉双,杨兆臣.极化干涉SAR森林树高提取算法的对比分析[J].测绘与空间地理信息,2016,39(1):94-96.
[5]TREUHAFT R N,MADSEN S N,MOGHADDAM M,et al.Vegetation characteristics and underlying topography from interferometric radar[J].Radio Science,1996,31(6):1449-1485.
[6]PAPATHANASSIOU K P,CLOUDE S R.Single-Baseline Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(11):2352-2363.
[7]CLOUDE S R,PAPATHANASSIOU K P.Three stage inversion process for polarimetric SAR interferometry[J].IEE ProceedingsRadar Sonar and Navigation,2003,150(3):125-134.
[8]韦顺军.极化干涉SAR植被高度估计方法研究[D].成都:电子科技大学,2009.
[9]YAMADA H,YAMAGUCHI Y,RODRIGUEZ E,et al.Polarimetric SAR interferometry for forest analysis based on the ESPRIT alogorithm[J].IEICE Transaction on Electronic,2001,84(12):1917-1924.
[10]YAMADA H,SATO K,YAMAGUCHI Y,et al.Interferometric phase and coherence of forest estimated by ESPRIT-based polarimetric SAR interferometry[C]//IGARSS.2002 IEEE Geoscience and Remote Sensing Symposium.Toronto:IGARSS,2002:829-831.
[11]李新武.极化干涉SAR信息提取方法及其应用研究[D].北京:中国科学院研究生院(遥感应用研究所),2002.
[12]KUGLER F,HAJNSEK I.Forest Characterisation by means of Terra SAR-X and Tan DEM-X(Polarimetric and)Interferometric Data[C]//IGARSS.2011 IEEE Geoscience and Remote Sensing Symposium.Vancouver:IGARSS,2011:2578-2581.
[13]周广益,熊涛,张卫杰,等.基于极化干涉SAR数据的树高反演方法[J].清华大学学报(自然科学版),2009,49(4):510-513.
[14]PHAM M N.Research forest height estimation from polarimetric SAR interferometry IMAGES[D].Harbin:Harbin Institute of Technology,2014.
[15]CLOUDE S R.Polarizaiton coherence tompgrapy[J].Radio Science,2006,4(14):1-27.
[16]HAJNSEK I,THOMAS BUSHE.Tan DEM-X:Science Actitives[C]//IGARSS.2016 IEEE Geoscience and Remote Sensing Symposium.Beijing:IGARSS,2016:321-324.
[17]SCHTTLER B,MROWKA F,SCHWARZ E,et al.The TerraSAR-X ground segment in service for nine years current status and recent extensions[C]//IGARSS.2016 IEEE Geoscience and Remote Sensing Symposium.Beijing:IGARSS,2016:1400-1403.
[18]张腊梅.L波段Pol In SAR图像地表参数反演方法研究[D].哈尔滨:哈尔滨工业大学,2006.
[19]BRANDFASS M,HOFMANN C,MURA J C,et al.Polarimetric SAR interferometry as applied to fully polarimetric rain forest data[C]//IGARSS.2001 IEEE Geoscience and Remote Sensing Symposium.Sydney:IGARSS,2001:2575-2577.
[20]解清华,汪长城,朱建军,等.顾及地形因素的S-RVOG模型和PD相干最优算法联合反演植被高度[J].测绘学报,2015,44(6):686-693.
[21]POTTIER E,FERRO-FAMIL L,CLOUDE S R,et al.PolSARprov2.0:The polarimetric SAR data processing and educational toolbox[C].IGARSS.2005 IEEE Geoscience and Remote Sensing Symposium.Seoul:IGARSS,2005:3173-3176.
[22]KUGLER F,LEE S,HAJNSEK I.Forest height estimation by means of Pol In SAR data inversion:the role of the vertical wavenumber[J].IEEE Transaction on Geoscience and Remote Sensing,2015,53(10):1-18.
[23]CLOUDE S R.Polarisations Applications in remote sensing[M].Oxford:Oxford University,2010.
[24]杨震.合成孔径雷达干涉与极化干涉技术研究[D].北京:中国科学院研究生院,2003.
[25]TABB M,ORREY J,FLYNN T,et al.Phase diversity:a decomposition for vegetation parameter estimation using polarimetric SAR Interferometry[C]//EUSAR.Proceedings of European Synthetic Aperture Radar Conference 2002(EUSAR 2002).Cologne:EUSAR,2002:721-724.
[26]UNMESH KHATI,GULAB SINGH.Temporal analysis of Pol InSAR based forest height inversion for Tectona Grandis and Eucalyptus planatations[C]//IGARSS.2016 IEEE Geoscience and Remote Sensing Symposium.Beijing IGARSS,2016:4702-4705.
[2]陈尔学,李增元,庞勇,等.基于极化合成孔径雷达干涉测量的平均树高提取技术[J].林业科学.2007,43(4):66-70.
[3]罗环敏.基于极化干涉SAR的森林结构信息提取模型与方法[D].成都:电子科技大学,2011.
[4]李帆,尚玉双,杨兆臣.极化干涉SAR森林树高提取算法的对比分析[J].测绘与空间地理信息,2016,39(1):94-96.
[5]TREUHAFT R N,MADSEN S N,MOGHADDAM M,et al.Vegetation characteristics and underlying topography from interferometric radar[J].Radio Science,1996,31(6):1449-1485.
[6]PAPATHANASSIOU K P,CLOUDE S R.Single-Baseline Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(11):2352-2363.
[7]CLOUDE S R,PAPATHANASSIOU K P.Three stage inversion process for polarimetric SAR interferometry[J].IEE ProceedingsRadar Sonar and Navigation,2003,150(3):125-134.
[8]韦顺军.极化干涉SAR植被高度估计方法研究[D].成都:电子科技大学,2009.
[9]YAMADA H,YAMAGUCHI Y,RODRIGUEZ E,et al.Polarimetric SAR interferometry for forest analysis based on the ESPRIT alogorithm[J].IEICE Transaction on Electronic,2001,84(12):1917-1924.
[10]YAMADA H,SATO K,YAMAGUCHI Y,et al.Interferometric phase and coherence of forest estimated by ESPRIT-based polarimetric SAR interferometry[C]//IGARSS.2002 IEEE Geoscience and Remote Sensing Symposium.Toronto:IGARSS,2002:829-831.
[11]李新武.极化干涉SAR信息提取方法及其应用研究[D].北京:中国科学院研究生院(遥感应用研究所),2002.
[12]KUGLER F,HAJNSEK I.Forest Characterisation by means of Terra SAR-X and Tan DEM-X(Polarimetric and)Interferometric Data[C]//IGARSS.2011 IEEE Geoscience and Remote Sensing Symposium.Vancouver:IGARSS,2011:2578-2581.
[13]周广益,熊涛,张卫杰,等.基于极化干涉SAR数据的树高反演方法[J].清华大学学报(自然科学版),2009,49(4):510-513.
[14]PHAM M N.Research forest height estimation from polarimetric SAR interferometry IMAGES[D].Harbin:Harbin Institute of Technology,2014.
[15]CLOUDE S R.Polarizaiton coherence tompgrapy[J].Radio Science,2006,4(14):1-27.
[16]HAJNSEK I,THOMAS BUSHE.Tan DEM-X:Science Actitives[C]//IGARSS.2016 IEEE Geoscience and Remote Sensing Symposium.Beijing:IGARSS,2016:321-324.
[17]SCHTTLER B,MROWKA F,SCHWARZ E,et al.The TerraSAR-X ground segment in service for nine years current status and recent extensions[C]//IGARSS.2016 IEEE Geoscience and Remote Sensing Symposium.Beijing:IGARSS,2016:1400-1403.
[18]张腊梅.L波段Pol In SAR图像地表参数反演方法研究[D].哈尔滨:哈尔滨工业大学,2006.
[19]BRANDFASS M,HOFMANN C,MURA J C,et al.Polarimetric SAR interferometry as applied to fully polarimetric rain forest data[C]//IGARSS.2001 IEEE Geoscience and Remote Sensing Symposium.Sydney:IGARSS,2001:2575-2577.
[20]解清华,汪长城,朱建军,等.顾及地形因素的S-RVOG模型和PD相干最优算法联合反演植被高度[J].测绘学报,2015,44(6):686-693.
[21]POTTIER E,FERRO-FAMIL L,CLOUDE S R,et al.PolSARprov2.0:The polarimetric SAR data processing and educational toolbox[C].IGARSS.2005 IEEE Geoscience and Remote Sensing Symposium.Seoul:IGARSS,2005:3173-3176.
[22]KUGLER F,LEE S,HAJNSEK I.Forest height estimation by means of Pol In SAR data inversion:the role of the vertical wavenumber[J].IEEE Transaction on Geoscience and Remote Sensing,2015,53(10):1-18.
[23]CLOUDE S R.Polarisations Applications in remote sensing[M].Oxford:Oxford University,2010.
[24]杨震.合成孔径雷达干涉与极化干涉技术研究[D].北京:中国科学院研究生院,2003.
[25]TABB M,ORREY J,FLYNN T,et al.Phase diversity:a decomposition for vegetation parameter estimation using polarimetric SAR Interferometry[C]//EUSAR.Proceedings of European Synthetic Aperture Radar Conference 2002(EUSAR 2002).Cologne:EUSAR,2002:721-724.
[26]UNMESH KHATI,GULAB SINGH.Temporal analysis of Pol InSAR based forest height inversion for Tectona Grandis and Eucalyptus planatations[C]//IGARSS.2016 IEEE Geoscience and Remote Sensing Symposium.Beijing IGARSS,2016:4702-4705.