Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 949-953, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-949-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 949-953, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-949-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

EVALUATION OF AIRBORNE L- BAND MULTI-BASELINE POL-INSAR FOR DEM EXTRACTION BENEATH FOREST CANOPY

W. M. Li1, E. X. Chen2, Z. Y. Li2, C. Jiang1, and Y. Jia1 W. M. Li et al.
  • 1School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road Yadong new city Nanjing, Jiangsu province, China
  • 2Institute of forest resources information technique, Chinese Academy of Forestry, No.1 Dongxiaofu Haidian district, Beijing, China

Keywords: Digital Elevation Model, SAR, Multi-baseline Pol-InSAR, TomoSAR, Forest canopy, Scattering characteristics separation

Abstract. DEM beneath forest canopy is difficult to extract with optical stereo pairs, InSAR and Pol-InSAR techniques. Tomographic SAR (TomoSAR) based on different penetration and view angles could reflect vertical structure and ground structure. This paper aims at evaluating the possibility of TomoSAR for underlying DEM extraction. Airborne L-band repeat-pass Pol-InSAR collected in BioSAR 2008 campaign was applied to reconstruct the 3D structure of forest. And sum of kronecker product and algebraic synthesis algorithm were used to extract ground structure, and phase linking algorithm was applied to estimate ground phase. Then Goldstein cut-branch approach was used to unwrap the phases and then estimated underlying DEM. The average difference between the extracted underlying DEM and Lidar DEM is about 3.39 m in our test site. And the result indicates that it is possible for underlying DEM estimation with airborne L-band repeat-pass TomoSAR technique.