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
  • [21] Forest Height Estimation With TanDEM-X SAR and InSAR Features Using Deep Learning
    Mahesh, Ragini Bal
    Hansch, Ronny
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21
  • [22] UNEXPECTED HEIGHT OFFSETS IN TANDEM-X: EXPLANATION AND CORRECTION
    Krieger, Gerhard
    De Zan, Francesco
    Bachmann, Markus
    Gonzalez, Jaime Hueso
    Cassola, Marc Rodriguez
    Zink, Manfred
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 295 - 298
  • [23] Forest height estimation from TanDEM-X images with semi-empirical coherence models
    Praks, Jaan
    Antropov, Oleg
    Olesk, Aire
    Voormansik, Kaupo
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8805 - 8808
  • [24] POTENTIAL OF DEEP LEARNING FOR FOREST HEIGHT ESTIMATION FROM TANDEM-X BISTATIC INSAR DATA
    Carcereri, Daniel
    Rizzoli, Paola
    Ienco, Dino
    Bruzzone, Lorenzo
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1481 - 1484
  • [25] An Investigation of Forest Height Estimation by using TanDEM-X Local InSAR Phase Center Variations
    Choi, Changhyun
    Pardini, Matteo
    Guliaev, Roman
    Papathanassiou, Kostantinos
    13TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, EUSAR 2021, 2021, : 639 - 642
  • [26] Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM-X supported by GEDI data
    Schlund, Michael
    Wenzel, Arne
    Camarretta, Nicolo
    Stiegler, Christian
    Erasmi, Stefan
    METHODS IN ECOLOGY AND EVOLUTION, 2023, 14 (07): : 1639 - 1656
  • [27] Relative height error analysis of TanDEM-X elevation data
    Rizzoli, Paola
    Braeutigam, Benjamin
    Kraus, Thomas
    Martone, Michele
    Krieger, Gerhard
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 73 : 30 - 38
  • [28] Relative Height Accuracy Analysis of TanDEM-X DEM Products
    Gonzalez, Carolina
    Braeutigam, Benjamin
    Rizzoli, Paola
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 1172 - 1176
  • [29] TANDEM-X FOREST HEIGHT IN MOUNTAINOUS TERRAIN OF BC, CANADA
    Chen, Hao
    Cloude, Shane R.
    Goodenough, David G.
    Hill, David A.
    Nesdoly, Andrea
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 99 - 102
  • [30] Mapping Tree Height in Burkina Faso Parklands with TanDEM-X
    Soja, Maciej J.
    Karlson, Martin
    Bayala, Jules
    Bazie, Hugues R.
    Sanou, Josias
    Tankoano, Boalidioa
    Eriksson, Leif E. B.
    Reese, Heather
    Ostwald, Madelene
    Ulander, Lars M. H.
    REMOTE SENSING, 2021, 13 (14)