谭鹏源,朱建军,付海强

• 1:中南大学地球科学与信息物理学院

摘要(Abstract)：

针对星载重轨InSAR森林高度反演受时间去相干制约与模型解算辅助数据难以获取的问题。考虑ALOS-2 PALSAR-2干涉数据特点,采用一种顾及时间去相干影响的半经验散射模型,利用最新发布的星载激光雷达ICESat-2 ATL08高程产品中的植被高度数据作为辅助数据,并结合主成分分析思想(PCA)对ALOS-2 PALSAR-2相干幅度信息与树高的关联模型进行参数解算。实验结果表明,在ICESat-2树高数据辅助条件下,通过散射模型可以较好抑制时间去相干的影响,进而反演出可靠的模型参数及森林高度(RMSE约为3 m)。本研究验证了联合星载重轨干涉SAR与星载LiDAR数据实现大范围、大尺度森林高度反演的可行性。

关键词(KeyWords)： ICESat-2 ATL08高度产品;ALOS-2 PALSAR-2相干幅度;时间去相关;森林高度

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41531068);; 湖南省自然资源调查与监测工程技术研究中心开放课题项目(2020-1);; 中南大学研究生科研创新项目(2019zzts656)

作者(Author): 谭鹏源,朱建军,付海强

DOI: 10.16251/j.cnki.1009-2307.2021.07.011

参考文献(References)：

• [1] 李廷伟，梁甸农，朱炬波.极化干涉SAR森林高度反演综述[J].遥感信息，2009(3):86-92.(LI Tingwei,LIANG Diannong,ZHU Jubo.A review of inversion of the forest height by polarimetric interferometric SAR[J].Remote Sensing Information,2009(3):86-92.)
• [2] 袁孝康.星载合成孔径雷达导论[M].北京：国防工业出版社，2003.(YUAN Xiaokang.Introduce to the spaceborne synthetic aperture radar[M].Beijing:National Defense Industry Press,2003.)
• [3] 吴一戎，洪文，王彦平.极化干涉SAR的研究现状与启示[J].电子与信息学报，2007,29(5):1258-1262.(WU Yirong,HONG Wen,WANG Yanping.The current status and implications of polarimetric SAR interferometry[J].Journal of Electronics & Information Technology,2007,29(5):1258-1262.)
• [4] 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.
• [5] PRAKS J,KUGLER F.Height estimation of boreal forest:interferometric model-based inversion at L- and X-band versus HUTSCAT profiling scatterometer[J].IEEE Geoscience and Remote Sensing Letters,2007,4(3):466-470.
• [6] KUGLER F,KOUDOGBO F,GUTJAHR K,et al.Frequency effects in Pol-InSAR forest height estimation[C]//European Conference on Synthetic Aperture Radar.[S.l.]:DLR,2006.
• [7] HAJNSEK I,KUGLER F,LEE S K,et al.Tropical-forest-parameter estimation by means of Pol-InSAR:the INDREX-II campaign[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(2):481-493.
• [8] ISOLA M,CLOUDE S R.Forest height mapping using space-borne polarimetric SAR interferometry[C]//IEEE International Geoscience & Remote Sensing Symposium.[S.l.]:IEEE Xplore,2001.
• [9] 李新武，郭华东，廖静娟，等.航天飞机极化干涉雷达数据反演地表植被参数[J].遥感学报，2002,6(6):424-429.(LI Xinwu,GUO Huadong,LIAO Jingjuan,et al.Inversion of vegetation parameters using space-borne polarimetric SAR interferometry[J].Journal of Remote Sensing,2002,6(6):424-429.)
• [10] CLOUDE S R,PAPATHANASSIOU K P.Polarimetric SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(5):1551-1565.
• [11] CLOUDE S R,CHEN H,GOODENOUGH D G.Forest height estimation and validation using Tandem-X polinsar[C]//Geoscience & Remote Sensing Symposium.[S.l.]:IEEE,2014.
• [12] 姬永杰，岳彩荣，赵磊，等.基于DEM差分法的TanDEM-X数据森林高度估测[J].西南林业大学学报，2016,36(6):73-78.(JI Yongjie,YUE Cairong,ZHAO Lei,et al.Forest height estimation of TanDEM-X data based on DEM difference method[J].Journal of Southwest Forestry University,2016,36(6):73-78.)
• [13] KUGLER F,SCHULZE D,HAJNSEK I,et al.TanDEM-X Pol-InSAR performance for forest height estimation[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(10):6404-6422.
• [14] 李震，郭明，汪仲琼，等.星载重轨极化干涉SAR反演森林植被高度[J].中国科学：地球科学，2014,44(4):680-692.(LI Zhen,GUO Ming,WANG Zhongqiong,et al.Forest-height inversion using repeat-pass spaceborne PolInSAR data[J].Scientia Sinica Terrae,2014,44(4):680-692.)
• [15] LEI Y,SIQUEIRA P,TREUHAFT R.A physical scattering model of repeat-pass InSAR correlation for vegetation[J].Waves in Random and Complex Media,2017,27(1):129-152.
• [16] LEI Y,SIQUEIRA P.Estimation of forest height using space-borne repeat-pass L-band InSAR correlation magnitude over the US state of Maine[J].Remote Sensing,2014,6(11):10252-10285.
• [17] LEI Y,SIQUEIRA P,TORBICK N,et al.Generation of large-scale moderate-resolution forest height mosaic with space-borne repeat-pass SAR interferometry and LiDAR[J].IEEE Transactions on Geoscience and Remote Sensing,2018,57(2):770-787.
• [18] NEUENSCHWANDER A,PITTS K.The ATL08 land and vegetation product for the ICESat-2 mission[J].Remote Sensing of Environment,2019,221:247-259.
• [19] NEUENSCHWANDER A,POPESCU S,et al.ICESat-2 algorithm theoretical basis document for land-vegetation along-track products(ATL08)release 002[EB/OL].[2019-09-10].Available:https://icesat-2.gsfc.nasa.gov/sites/default/files/page_files/ICESat2_ATL08_ATBD_r002_v2.pdf.
• [20] NEUENSCHWANDER A,MAGRUDER L A.Canopy and terrain height retrievals with ICESat-2:a first look[J].Remote Sensing,2019,11:1721.
• [21] ZEBKER H A,VILLASENSOR J.Decorrelation in interferometric radar echoes[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30(5):950-959.
• [22] CLOUDE S R.Polarisation:applications in remote sensing[M].London,U K:Oxford University Press,2009.
• [23] GATELLI,GUAMIERI A M,PARIZZI F,et al.The wavenumber shift in SAR interferometry[J].IEEE Transactions on Geoscience & Remote Sensing,1994,32(4):865.
• [24] LAVALLE M,SIMARD M,HENSLEY S.A temporal decorrelation model for polarimetric radar interferomecters[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(7):2880-2888.
• [25] CLOUDE S R,PAPATHANASSIOU K P.Three-stage inversion process for polarimetric SAR interferometry[J].IEE Proceedings-Radar,Sonar and Navigation,2003,150(3):125-134.
• [26] MOON T K,STIRLING W C.Mathematical methods and algorithms for signal processing[M].New York:Prentice Hall,2000.
• [27] NEUENSCHWANDER A,POPESCU S C,NELSON R F,et al.ATLAS/ICESat-2 L3A land and vegetation height,version 2[Z].Boulder,Colorado USA:National Snow and Ice Data Center,2019.