Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (9): 1931-1941.doi: 10.11947/j.AGCS.2022.20210298

• Photogrammetry and Remote Sensing • Previous Articles     Next Articles

Forest height inversion with single-baseline TanDEM-X InSAR coherence

ZHANG Tao, ZHU Jianjun, FU Haiqiang, WANG Changcheng   

  1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
  • Received:2021-05-26 Revised:2022-03-02 Published:2022-09-29
  • Supported by:
    The National Natural Science Foundation of China (Nos. 4181001033; 41820104005; 41904004; 42030112); Postgraduate Autonomous Project of Central South University (No. 2021zzts0829)

Abstract: Model-errors and inability of adapting to different forest scenes appear when the SINC function model simplified from RVoG model is applied to retrieve forest height with TanDEM-X interferometric SAR data. To solve the problem, a method of forest height inversion based on TanDEM-X InSAR coherence with the aid of a subset of LiDAR data is proposed, which is independent on global high-precision DEM products to provide ground phase information and uses coherence to obtain forest height only. In order to verify the feasibility of the method, TanDEM-X InSAR acquisitions obtained in two typical study sites in Spain are experimented, while LiDAR data is used for validation. The results show forest height is obtainable based on the single-baseline TanDEM-X InSAR coherence, whose accuracy are 2.34 m and 1.74 m respectively.

Key words: forest height, InSAR, TanDEM-X, SINC function model, C-SINC model

CLC Number: