Estimation of subcanopy topography based on single-baseline TanDEM-X InSAR data

被引:14
|
作者
Wang, Huiqiang [1 ]
Fu, Haiqiang [1 ]
Zhu, Jianjun [1 ]
Liu, Zhiwei [1 ]
Zhang, Bing [1 ]
Wang, Changcheng [1 ]
Li, Zhiwei [1 ]
Hu, Jun [1 ]
Yu, Yanan [2 ]
机构
[1] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China
[2] Cent South Univ, Sch Civil Engn, Changsha 410083, Hunan, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
TanDEM-X; Subcanopy topography; InSAR; DEM; Penetration depth; Scattering phase center (SPC) height; ICESAT-2; DIGITAL ELEVATION MODEL; TIME-SERIES INSAR; UNDERLYING TOPOGRAPHY; MAPPING VEGETATION; SAR TOMOGRAPHY; SRTM; ACCURACY; LAND; PENETRATION; PERFORMANCE;
D O I
10.1007/s00190-021-01519-3
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In forest areas, when using interferometric synthetic aperture radar (InSAR) technique to extract subcanopy topography, a key problem is how to reduce the impact of the forest-scattering process on InSAR height measurements. In this paper, we propose a new methodology for subcanopy topography extraction by making full use of single-baseline TanDEM-X InSAR data. The interferometric phase is used to estimate a high-resolution and high-precision digital elevation model (DEM), and the coherence magnitude is used to extract the scattering phase center (SPC) height associated with canopy scattering. Allowing for the difference in the sensitivity of TanDEM-X bistatic interferometry information for forests with different densities, two scenarios are involved: (1) For pixels characterized by dense forest, the X-band SAR signal cannot penetrate through the forest canopy layer. In this case, an existing scattering model is used to estimate the InSAR penetration depth from the coherence magnitude. Note that when the penetration depth is small compared with the height of ambiguity (HoA), the former can be recognized as the difference between the InSAR DEM and the actual surface height. Some sparse forest heights (or SPC heights) measured by the Ice, Cloud, and land Elevation Satellite-2 (ICESAT-2) system are then used to help determine the linear relationship between penetration depth and sparse forest height (or SPC height). Finally the SPC can be estimated and removed from the TanDEM-X InSAR DEM. (2) For pixels characterized by sparse vegetation, the X-band likely penetrates the vegetation volume layer to ground level. For this scenario, a coherence threshold is set to identify these pixels, and the corresponding SPC heights can be considered zero where the subcanopy topography is approximately equal to the InSAR-generated DEM. The proposed method was validated by combining TanDEM-X coregistered single look slant range complex (CoSSC) data from two test sites with different forest types with ICESAT-2 points. The results are as follows. For the Krycklan test site, compared with the validation data, the RMSE varied from 7.76 m for the InSAR DEM to 3.22 m for the reconstructed subcanopy topography, which is an improvement of 58.5%. For the Oyan test site, subcanopy topography achieved an RMSE of 7.26 m compared with the RMSE of 27.12 m before SPC height correction, which represents an improvement of 80.1%. In addition, we investigated the impact of the topographic slope and the necessity of using the coherence threshold. For inconsistencies between TanDEM-X bistatic InSAR data and ICESAT-2 measured forest height over time, the fitting between penetration depth and SPC height calculated by ICESAT-2 subcanopy topographic elevation and InSAR-generated DEM can be used. These investigations confirm the feasibility and reliability of the proposed method.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Two years of TanDEM-X baseline determination
    Wermuth, Martin
    Koenig, Rolf
    Moon, Yongjin
    Antony, John Mohan Walter
    Montenbruck, Oliver
    INTERNATIONAL JOURNAL OF SPACE SCIENCE AND ENGINEERING, 2014, 2 (01) : 35 - 48
  • [32] 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
  • [33] MODELING TEMPORAL DECORRELATION AT X-BAND BY COMBINING TANDEM-X AND PAZ INSAR DATA
    Sica, Francescopaolo
    Bretzke, Sofie
    Pulella, Andrea
    Marione, Michele
    Bueso-Bello, Jose-Luis
    Gonzalez Bonilla, Maria-Jose
    Rizzoli, Paola
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 355 - 358
  • [34] Using TanDEM-X Pursuit Monostatic Observations with a Large Perpendicular Baseline to Extract Glacial Topography
    Hong, Sang-Hoon
    Wdowinski, Shimon
    Amelung, Falk
    Kim, Hyun-Cheol
    Won, Joong-Sun
    Kim, Sang-Wan
    REMOTE SENSING, 2018, 10 (11):
  • [35] SPACEBORNE DATA FUSION FOR LARGE-SCALE FOREST PARAMETER ESTIMATION: GEDI LIDAR & TANDEM-X INSAR MISSIONS
    Lee, Seung-Kuk
    Fatoyinbo, Temilola
    Marselis, Suzanne M.
    Qi, Wenlu
    Hancock, Steven
    Armston, John
    Dubayah, Ralph
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 4491 - 4494
  • [36] PHASE UNWRAPPING CORRECTION WITH DUAL-BASELINE DATA FOR THE TANDEM-X MISSION
    Lachaise, Marie
    Fritz, Thomas
    Balss, Ulrich
    Bamler, Richard
    Eineder, Michael
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 5566 - 5569
  • [37] Moving Ship Velocity Estimation Using TanDEM-X Data Based on Subaperture Decomposition
    Ao, Dongyang
    Datcu, Mihai
    Schwarz, Gottfried
    Hu, Cheng
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (10) : 1560 - 1564
  • [38] Mapping Topography and Forest Parameters in a Boreal Forest with Dual-Baseline TanDEM-X Data and the Two-Level Model
    Soja, Maciej J.
    Ulander, Lars M. H.
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 647 - 650
  • [39] Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data
    Eldhuset, K.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (15) : 4362 - 4378
  • [40] 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