FOREST HEIGHT ESTIMATION FROM TANDEM-X INSAR COHERENCE MAGNITUDE TOWARDS LARGE SCALE APPLICATIONS

被引:1
|
作者
Choi, Changhyun [1 ]
Guliaev, Roman [1 ]
Cazcarra-Bes, Victor [1 ]
Pardini, Matteo [1 ]
Papathanassiou, Konstantinos P. [1 ]
机构
[1] German Aerosp Ctr DLR, Microwave & Radar Inst, Wessling, Germany
关键词
Forest height; SAR interferometry; TanDEM-X;
D O I
10.1109/IGARSS39084.2020.9323839
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
TanDEM-X experiments have shown that forest height can be estimated with single polarization X-band interferometric coherences. An external digital terrain model (DTM) not only allows to use both coherence magnitude and phase information, but also to overcome X-band penetration limitations. However, DTM information is not available for large areas. Using coherence magnitudes makes height inversion feasible, but it requires a model relating coherence to height. Here we report an experiment using the X-band local phase center variations. Results over a tropical forest site show that in those stands in which the low X-band penetration is not a limitation, the there is a good correlation between the obtained TanDEM-X heights and the heights from Lidar measurements.
引用
收藏
页码:3413 / 3415
页数:3
相关论文
共 50 条
  • [1] TanDEM-X Pol-InSAR Performance for Forest Height Estimation
    Kugler, Florian
    Schulze, Daniel
    Hajnsek, Irena
    Pretzsch, Hans
    Papathanassiou, Konstantinos P.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (10): : 6404 - 6422
  • [2] Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data
    Guliaev, Roman
    Cazcarra-Bes, Victor
    Pardini, Matteo
    Papathanassiou, Konstantinos
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 3084 - 3094
  • [3] Forest Canopy Height Estimation Using Tandem-X Coherence Data
    Chen, Hao
    Cloude, Shane R.
    Goodenough, David G.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (07) : 3177 - 3188
  • [4] POTENTIAL OF DEEP LEARNING FOR FOREST HEIGHT ESTIMATION FROM TANDEM-X BISTATIC INSAR DATA
    Carcereri, Daniel
    Rizzoli, Paola
    Ienco, Dino
    Bruzzone, Lorenzo
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1481 - 1484
  • [5] Seasonal Differences in Forest Height Estimation From Interferometric TanDEM-X Coherence Data
    Olesk, Aire
    Voormansik, Kaupo
    Vain, Ants
    Noorma, Mart
    Praks, Jaan
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (12) : 5565 - 5572
  • [6] Forest Height Estimation Method Using TanDEM-X Interferometric Coherence Data
    Fan, Yaxiong
    Chen, Erxue
    Li, Zengyuan
    Zhao, Lei
    Zhang, Wangfei
    Jin, Yudong
    Cai, Lijie
    [J]. Linye Kexue/Scientia Silvae Sinicae, 2020, 56 (06): : 35 - 46
  • [7] Forest height estimation from TanDEM-X images with semi-empirical coherence models
    Praks, Jaan
    Antropov, Oleg
    Olesk, Aire
    Voormansik, Kaupo
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8805 - 8808
  • [8] An Investigation of Forest Height Estimation by using TanDEM-X Local InSAR Phase Center Variations
    Choi, Changhyun
    Pardini, Matteo
    Guliaev, Roman
    Papathanassiou, Kostantinos
    [J]. 13TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, EUSAR 2021, 2021, : 639 - 642
  • [9] Radar Forest Height Estimation in Mountainous Terrain Using Tandem-X Coherence Data
    Chen, Hao
    Cloude, Shane R.
    Goodenough, David G.
    Hill, David A.
    Nesdoly, Andrea
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (10) : 3443 - 3452
  • [10] Bistatic PolInSAR for forest height estimation: results from TanDEM-X
    Khati, Unmesh
    Singh, Gulab
    [J]. 2015 IEEE 5TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2015, : 214 - 217