Multibaseline TanDEM-X Mangrove Height Estimation: The Selection of the Vertical Wavenumber

被引:24
|
作者
Lee, Seung-Kuk [1 ]
Fatoyinbo, Temilola E. [1 ]
Lagomasino, David [1 ]
Feliciano, Emanuelle [1 ]
Trettin, Carl [2 ]
机构
[1] NASA, Biospher Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] US Forest Serv, Southern Res Stn, Asheville, NC 28804 USA
基金
美国国家航空航天局;
关键词
Forest height inversion; interferometric synthetic aperture radar (InSAR); multibaseline; TanDEM-X (TDX); vertical wavenumber; POLARIMETRIC SAR INTERFEROMETRY; POL-INSAR; BOREAL FOREST; BIOMASS ESTIMATION; L-BAND; INVERSION; RADAR; MODEL; DECORRELATION; ICESAT/GLAS;
D O I
10.1109/JSTARS.2018.2835647
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We generated a large-scale mangrove forest height map using multiple TanDEM-X (TDX) interferometric synthetic aperture radar (InSAR) acquisitions with various spatial baselines in order to improve the height estimation accuracy across a wide range of forest heights. The forest height inversion using InSAR data is strongly dependent upon the vertical wavenumber (i.e., perpendicular baseline). First, we investigated the role of the vertical wavenumber in forest height inversion from InSAR data using the sensitivity of the interferometric (volume) coherence to forest height. We used corrected but lower resolution and accuracy Shuttle Radar Topography Mission (SRTM) mangrove height maps as a priori information over Akanda and Pongara National Parks in Gabon to estimate lower and upper boundaries of the vertical wavenumber over test sites from the measured coherence-to-height sensitivity. Only TDX acquisitions within the boundaries of the vertical wavenumber were selected and combined for multibaseline mangrove height inversion. Mangrove forest height was obtained with multibaseline TDX acquisitions and was validated against the reference height derived from field measurement data providing improvements in multibaseline inversion over existing height estimates (i.e., SRTM height) and single-baseline inversions (multibaseline inversion: r(2) = 0.98, root mean square error (RMSE) of 2.73 m; SRTM height: r(2) = 0.86, RMSE = 7.21 m; single-baseline inversions: r(2) = 0.08-0.97, RMSE = 3.86-11.10 m). As a result, to accurately estimate forest heights over a wide range (3-60 m), multibaseline InSAR acquisitions (at least three different baselines) are needed to exclude biases associated with the vertical wavenumber in forest height inversion.
引用
收藏
页码:3434 / 3442
页数:9
相关论文
共 50 条
  • [1] TanDEM-X Pol-InSAR Inversion for Mangrove Canopy Height Estimation
    Lee, Seung-Kuk
    Fatoyinbo, Temilola E.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (07) : 3608 - 3618
  • [2] Mangrove Height Estimates from TanDEM-X Data
    Lee, Seung-Kuk
    KOREAN JOURNAL OF REMOTE SENSING, 2020, 36 (02) : 325 - 335
  • [3] FOREST HEIGHT ESTIMATION AND VALIDATION USING TANDEM-X POLINSAR
    Cloude, S. R.
    Chen, H.
    Goodenough, D. G.
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 1889 - 1892
  • [4] Canopy height estimation with TanDEM-X in temperate and boreal forests
    Schlund, Michael
    Magdon, Paul
    Eaton, Brian
    Aumann, Craig
    Erasmi, Stefan
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 82
  • [5] Analysis of TanDEM-X interferometric phase for tree height estimation
    Fifame Nadege, Koudogbo
    Xavier, Banque
    Javier, Duro
    Richard, Lucas
    Mucher, Sander
    Blonda, Palma
    10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014), 2014,
  • [6] ESTIMATING AND UNDERSTANDING VERTICAL STRUCTURE OF FORESTS FROM MULTIBASELINE TANDEM-X POL-INSAR DATA
    Pardini, M.
    Torano-Caicoya, A.
    Kugler, E.
    Papathanassiou, K.
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 4344 - 4347
  • [7] Definition of ICESat Selection Criteria for Their Use as Height References for TanDEM-X
    Gonzalez, Jaime Hueso
    Bachmann, Markus
    Scheiber, Rolf
    Krieger, Gerhard
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (06): : 2750 - 2757
  • [8] Bistatic PolInSAR for forest height estimation: results from TanDEM-X
    Khati, Unmesh
    Singh, Gulab
    2015 IEEE 5TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2015, : 214 - 217
  • [9] TanDEM-X Pol-InSAR Performance for Forest Height Estimation
    Kugler, Florian
    Schulze, Daniel
    Hajnsek, Irena
    Pretzsch, Hans
    Papathanassiou, Konstantinos P.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (10): : 6404 - 6422
  • [10] Canopy Height Estimation in Mediterranean Forests of Spain With TanDEM-X Data
    Gomez, Cristina
    Lopez-Sanchez, Juan M.
    Romero-Puig, Noelia
    Zhu, Jianjun
    Fu, Haiqiang
    He, Wenjie
    Xie, Yanzhou
    Xie, Qinghua
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 2956 - 2970